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ING
  • Amsterdam, Netherlands
ING is looking for experienced hires to help build on our Global Analytics ambition


About ING


Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.


We are incredibly excited about Data Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing “anytime, anywhere, personalized” services to our customers.  We wish to improve our operational processes and create new and innovative data driven products that go beyond traditional banking, such as the platform models.  Achieving this vision will require us to build and expand on our analytics effort and organize ourselves around focused value buckets with strong coordination capabilities of data, technology, customer journey, UX, as well as external partnerships. 



Global Analytics


Global Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Center of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence, etc.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.



Financial Crime & RegTech CoE (Center of Excellences)


To be a compliant and safe bank is non-negotiable precondition of everything we do. 


Purpose of the Financial Crime and RegTech center of excellence is to define the strategy and drive the development, implementation and adoption of analytics capabilities in the financial crime domain to make ING a safer and more compliant bank



Role Profile


As part of the center of excellence you will help creating innovative scalable data driven solutions in the space of Financial Crime. You proactively work with teams to implement these solutions across the organization.


You will work collaboratively with an extended group of stakeholders, including but not limited to Operations, Compliance, Engineering, Legal, Corporate Audit.


A background in anti-money laundering services or fraud is therefore a plus



About you



  • You Data Science knowledge enables you build analytics solutions for mitigation of Financial Crime related risks.

  • Willing and able to learn and to improve your technical as well your interpersonal skills.

  • You are a creative and curious Data Scientist who looking forward to work on a wide variety of Financial Economic Crime related problems.

  • You have a thorough understanding of the machine learning algorithms and tooling and are able to pass your knowledge to others.

  • Your are proficient in coding and you are able to deliver production ready code.

  • You have extensive experience with transforming data to added value for your stakeholders. You are able to see things from a different perspective and to make original solutions work in practice; when suitable you propose such endeavors to stakeholders.

  • You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for example in advising about the best way of implementation.

  • Your communication skills enable you to work together with many different parties throughout our organization.

  • You have extensive experience with stakeholder management from within data science projects.

  • Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose.




  • You like working in cross-functional teams to realize an ambitious goal.

  • You are not shy to ask for help of other Data Scientists in the team, and you are happy help them out by sharing your knowledge and capabilities. You are able and willing to guide junior Data Scientists and interns in their work; you also have experience doing so in your previous roles.

  • You are a team player who strikes effective balance between independence and acting in the interest of the team.

  • You are perseverant and you do not give up when a problem is hard; you know how to deal with set-backs.

  • Your enthusiasm is contagious and inspires others to act; your act sets an example for others.


Candidate Profile



  • MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Econometrics or similar.

  • At least 3/4 years work related experience in a similar role and/or environment.

  • Machine Learning: Classification, Regression, Clustering, Unsupervised methods, Text Mining. You have an excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics is a pre.

  • Programming Languages: Python and R. Scala is a pre

  • Tools: Spark, Hadoop.

  • Database handling: SQL, Hive. Familiarity with Oracle, Netezza, HBase, Cassandra, Graph databases is a pre.

  • Visualisation tools: D3.js, Shiny, Angular.



Do you recognize a call upon You in our description? Then please apply and join us to change the future of banking!

Freeport-McMoRan
  • Phoenix, AZ

Provide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.


  • Work closely with business, engineering and technology teams to develop solution to data-intensive business problems
  • Supervise internal and external science teams
  • Perform quality control of deliverables
  • Prepare reports and presentations, and communicate with Executives
  • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
  • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
  • Perform other duties as required


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR
  • Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experience, OR
  • Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutions
  • Proficient in predictive modeling:
  • Linear and logistic regression
  • Tree based techniques (CART, Random Forest, Gradient Boosting)
  • Time-Series Analysis
  • Anomaly detection
  • Survival Analysis
  • Strong Experience with SQL/Hive environments
  • Skilled with R and/or Python analysis environments
  • Experience with Big Data tools for machine learning, R, Hive, Python
  • Good communication skills


Preferred Qualifications


  • Doctorate degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards
  • Must be able to work in a potentially stressful environment
  • Position is in busy, non-smoking office located in downtown Phoenix, AZ
  • Location requires mobility in an office environment; each floor is accessible by elevator
  • Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
  • Must be able to frequently sit, stand and walk
  • Must be able to frequently lift and carry up to ten (10) pounds
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required
  • Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable State laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900606 

Freeport-McMoRan
  • Phoenix, AZ

Supports the activities for all Freeport-McMoRan Big Data programs. Provides analytical support and expertise for the Big Data program; this includes coordination with business subject matter experts and travel to mine sites. The role will provide analyses and statistical models as part of Big Data projects, and may be the project lead on analytics initiatives. The role will also provide visualizations and descriptive results of the analysis. This will be a global role that will coordinate with site and corporate stakeholders to ensure alignment on project delivery.


    Work
    • closely with business, engineering and technology teams to analyze data-intensive business problems.
    • Research and develop appropriate statistical methodology to translate these business problems into analytics solutions
    • Perform quality control of deliverables
    • Develop visualizations of results and prepare deliverable reports and presentations, and communicate with business partners
    • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
    • Develop, implement and maintain analytical solutions in the Big Data environment
    • Work with onshore and offshore resources to implement and maintain analytical solutions
    • Perform variable selection and other standard modeling tasks
    • Produce model performance metrics
    • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
    • Perform other duties as requested


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and five (5) years of relevant work experience, OR 
  • Masters degree in an analytical field (statistics, mathematics, etc.) and three (3) years of relevant work experience

  • Proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions

  • Proficient in predictive modeling:

  • Linear and logistic regression

  • Tree based techniques (CART, Random Forest, Gradient Boosting)

  • Time-Series Analysis

  • Anomaly detection

  • Survival Analysis

  • Strong experience with SQL/Hive environments

  • Skilled with R and/or Python analysis environments

  • Experience with Big Data tools for machine learning, R, Hive, Python

  • Good communication skills


Preferred Qualifications


  • Masters degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards

  • Must be able to work in a potentially stressful environment

  • Position is in busy, non-smoking office located in Phoenix, AZ

  • Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase

  • Occasionally work may be performed in a mine, outdoor or manufacturing plant setting

  • Must be able to frequently sit, stand and walk

  • Must be able to frequently lift and carry up to ten (10) pounds

  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required

  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900604 

Visa
  • Austin, TX
Company Description
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities. We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Job Description
At Visa University, our mission is to turn our learning data into insights and get a deep understanding of how people use our resources to impact the product, strategy and direction of Visa University. In order to help us achieve this we are looking for someone who can build and scale an efficient analytics data suite and also deliver impactful dashboards and visualizations to track strategic initiatives and enable self-service insight delivery. The Staff Software Engineer, Learning & Development Technology is an individual contributor role within Corporate IT in our Austin-based Technology Hub. In this role you will participate in design, development, and technology delivery projects with many leadership opportunities. Additionally, this position provides application administration and end-user support services. There will be significant collaboration with business partners, multiple Visa IT teams and third-party vendors. The portfolio includes SaaS and hosted packaged applications as well as multiple content providers such as Pathgather (Degreed), Cornerstone, Watershed, Pluralsight, Lynda, Safari, and many others.
The ideal candidate will bring energy and enthusiasm to evolve our learning platforms, be able to easily understand business goals/requirements and be forward thinking to identify opportunities that may be effectively resolved with technology solutions. We believe in leading by example, ownership with high standards and being curious and creative. We are looking for an expert in business intelligence, data visualization and analytics to join the Visa University family and help drive a data-first culture across learning.
Responsibilities
  • Engage with product managers, design team and student experience team in Visa University to ensure that the right information is available and accessible to study user behavior, to build and track key metrics, to understand product performance and to fuel the analysis of experiments
  • Build lasting solutions and datasets to surface critical data and performance metrics and optimize products
  • Build and own the analytics layer of our data environment to make data standardized and easily accessible
  • Design, build, maintain and iterate a suite of visual dashboards to track key metrics and enable self-service data discovery
  • Participate in technology project delivery activities such as business requirement collaboration, estimation, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation, and status updates
  • Participate in vendor demo and technical deep dive sessions for upcoming projects
  • Collaborate with, and mentor, data engineers to build efficient data pipelines and impactful visualizations
Qualifications
  • Minimum 8 years of experience in a business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar
  • Significant experience in designing analytical data layers and in conducting ETL with very large and complex data sets
  • Expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • Expert in data visualization
  • High level of ability in JSON, SQL
  • Experience with Python is a must and experience with data science libraries is a plus (NumPy, Pandas, SciPy, Scikit Learn, NLTK, Deep Learning(Keras)
  • Experience with Machine Learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naive Bayes, SVM, K-means, K-nearest neighbor, Hierarchical Clustering)
  • Experience with HTML and JavaScript
  • Basic SFTP and encryption knowledge
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
  • Understanding of statistical analysis, quantitative aptitude and the ability to gather and interpret data and information
  • You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
  • You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15081Q
Accenture
  • San Diego, CA
Job Title: Accenture Digital, Accenture Analytics, Data Science, Consultant
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client & Market career track drive profitable growth by developing market-relevant insights to increase market share or create new markets. They progress through required promotion into market-facing roles that have a direct impact on sales.
Accenture Analytics
Accenture Analytics delivers insight driven outcomes at scale to help organizations improve performance. Our extensive capabilities range from accessing and reporting on data to advanced modeling, forecasting, and sophisticated statistical analysis. Specifically we...
    • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
    • Design and develop reusable analytical assets using advanced statistical and computational methods
    • Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators
    • Pilot sophisticated advanced analytics & innovative analytics solutions to prove value
    • Work closely with business leaders to understand needs and assist with architecting and deploying innovative solutions
    • Operate at the frontier of innovative analytics; introduce and implement newest market developments & trends in analytics
    • Optimize Resources processes and integrate across the enterprise in order to maximize the opportunities of data, analytics, and outcomes
    • Build, deploy, maintain and scale advanced analytic solutions that reduce complexity and cost
    • Partner and team with technology solution providers to deliver the best solution meeting the needs of our clients
    • Offer our clients end to end solutions and services
Job Description
The Consultant is responsible for delivery on Resources analytics projects. This process requires the use of advanced statistical analysis in a Resources industry.
The Key Responsibilities Include
    • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
    • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Understands client use cases / user stories and maps them to solutions based on best practice.
    • Uses considerable judgment to determine solution and seeks guidance on complex problems.
    • Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance.
    • Decisions often impact the team in which they reside.
    • Project-based analytics including but not limited to: Machine Learning, Predictive Analytics, Comparative Effectiveness Analysis, Failure Analysis, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record.
Basic Qualifications
    • Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, mathematics, economics, statistics, engineering and information management
    • Minimum of 3 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
    • Minimum 3 years experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
Preferred Qualifications
    • Minimum of 2 years of experience with consulting or implementing transformational change
    • Experience in the analysis of marketing databases using SAS or other statistical modeling tools.
    • Experience in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Management & Operations, Digital, Comparative Effectiveness Research
    • Possess a blend of marketing acumen, consulting expertise and analytical capabilities that can create value and insights for our clients.
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. Youll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Burtch Works
  • Atlanta, GA

Our client in the Atlanta area is seeking a Director of Statistical Modeling to lead a team that will be developing scores and analytic products for their clients in the insurance industry. This group will work closely with other internal teams to develop best in class products and deliver statistical analytics of the highest caliber. You will also work closely with the sales organization to deliver results and present analytics as necessary. Strong leadership skills and business acumen is crucial to the success of this role.

Requirements:

Graduate degree in a quantitative field.

At least 10 years of experience in analytics.

At least 2 years of people management experience.

Experience with SAS, R, Python or equivalent analytic software.

Previous experience in an analytical leadership role as well as the ability to think strategically.

Thorough understanding of statistical methodologies including linear regression, logistic regression, CHAID/CART and neural networks.

Salary range up to mid-$100's on base + bonus. Great benefits.

KEYWORDS: statistical modeling, SAS, analytics, insurance, predictive modeling, regression, risk, R, Python, logistic regression, linear regression, neural networks, CHAID/CART

Burger King Corporation
  • Miami, FL

Position Overview:

This person will be key in the structuring of our new Guest Insights and Intelligence area within BK North America. Burger marketing analytics has evolved substantially over the past several years, to a point where we have a very detailed understanding of our sales on a product or ticket level. Nevertheless, our understanding of who is buying our products and offers is still very limited. With an increasingly competitive market, our objective is to create a new area that will have as its core focus the understanding of our guests, which ultimately will drive our strategy across several different initiatives, including calendar, pricing, innovation, advertising/communication. With more data available than ever coming from our mobile app, kiosks, POS, credit card, and external data sources, were looking for a data scientist with strong business judgment who will be able to help us structure and develop this area, effectively transforming how we look at marketing analytics at BK and eventually RBI.


Responsibilities & Qualifications:


    • 3-5 years of professional experience, masters degree a plus
    • Expertise in data modelling, visualization, and databases
    • Proficiency with statistical packages (e.g. SAS and R), database languages (e.g. SQL Server, MySQL, Oracle Express), and media measurement tools (e.g. DoubleClick, Omniture, Google Analytics)
    • Datab
      • ase design and implementation Machi
      • ne learning Time
      • series and forecasting Data
      • mining Linea
      • r and logistic regression Decis
      • ion trees Segme
      • ntation analysis Clust
      • ering techniques Marke
      • ting mix models Data
      • visualization techniques


  • Market research and competitive analysis aimed at driving growth
  • Comprehensive data analysis and manipulation to help identify trends
  • Strong interpersonal and communication skills

Restaurant Brands International US Services LLC (RBI) is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

Accenture
  • Atlanta, GA
Come join Accenture and Innovate in a company with AI and data analytics in its DNA. Leverage our unparalleled scale, scope, investment and global footprint to solve clients business needs. Youll drive results accessing 750+ industrialized apps and solutions, 800+ analytics and 300+ AI patents/patents-pending, and the Applied Intelligence Platform (API) that combines cutting edge and advanced analytics and automated AI with an integrated suite of leading tools and technologies.
Accenture Applied Intelligence is the worlds largest team in applying data science, machine learning, and AI with deep industry experience to solve clients most sophisticated and difficult challenges. We are a team of experts in data science, data engineering, artificial intelligence and human ingenuity with industry knowledge that spans every industrialized area -- energy, health care, transportation, retail, social media, and more. By deploying AI responsibly and combining it with our deep industry and analytics expertise, we enable the digital transformation of organizations, extend human capabilities, and make intelligent products and services a reality. Follow @AccentureAI and visit accenture.com/appliedintelligence .
Role Description: Data Scientist
As a consultant working at the Accenture you will work on a team with diverse clients and industries delivering analytics solutions and help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market. This position requires in-depth understanding and use of statistical and data analysis tools.
Key Responsibilities
    • Effectively utilize statistical, data mining, machine learning, and/or deep learning techniques in delivering data science insights
    • Work closely with internal Accenture teams and clients to understand challenges and create solutions
    • Provide thought leadership within projects and leading technologies
    • Stay abreast of technology trends in artificial intelligence
Basic Qualifications
These are the minimum requirements for an aspirant to be considered for the position applying to:
    • Minimum of 2 years in Healthcare and/or Life Science industry
    • Minimum of 3 years of experience in advanced modeling environment strong understanding of statistical concepts and predictive modeling. e.g., AI neural networks, multi scalar dimensional models, logistic regression techniques, machine-based learning, etc.
    • Minimum of 3 years leveraging and synthesizing large volumes and variety of data enhancing the businesses understanding of individual population segments, propensities, outcomes, and decision points
    • Minimum of 3 years designing, implementing, and evaluating advanced statistical models and approaches for application in the businesses most complex issues
    • Minimum of 3 years building econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations
    • Minimum of 2 years working and conceptual knowledge in data structures, algorithms, statistics, machine learning, natural language processing and programming in Python, R, Scala, Julia, SAS, or other equivalent languages/tools
    • Minimum of 2 years in data mining and predictive modeling inclusive of linear and non-linear regression, logistic regression, and time series analysis models
    • Ability to travel up to 100%
    • Bachelor's Degree in any related field of study data science, mathematics, economics, statistics, engineering or information management
Preferred Qualifications
    • Demonstrated ability for designing and implementing successful data analysis solutions within a business Payer industry experience
    • Strong knowledge of data mining techniques and an ability to apply these techniques in practical real-world business issues
    • SQL and scripting languages such as Python and Perl as well as familiarity with statistical analysis, data visualization, and data cleansing tools and techniques
    • Proven ability to work independently as well as with a team.
    • Good communication skills, both written and oral.
    • Proven ability to build, manage and foster a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Excellent leadership and management skills
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Progrexion
  • Salt Lake City, UT

The product team is looking for an outstanding data analyst to join its growing organization. This person will play a central role in one of our companys most highly visible departments, pulling insights from the data warehouse to guide strategic decisions of executives and shape the way that we serve our customers.

The incumbent will work closely with the directors of product and of marketing science, as well as a variety of cross-functional teams, to elucidate how our core product offerings produce meaningful results for our clients. They will do so as part of a data science team working on a range of compelling projects, from recommendation engines to lead scoring to marketing mix modelling.

Key to success in this role will be the ability to pull data using tools such as SQL, mySQL, Google Analytics, and Adobe Analytics; build models in R, Python, or Excel; and both visualize and communicate data-driven findings to less technical colleagues. The ideal candidate will be an outstanding storyteller, with the ability to show diverse audiences what the data say. They will draw on a range of visualization strategies (e.g., heat mapping, local regression) and analytical techniques (e.g., correlation, ANOVA, logistic regression, decision trees) to do so. A background in product development and financial services will be helpful, but not a necessity.


Responsibilities:

  • Use data and analysis to find answers to business problems, recommend possible solutions, and track downstream effectiveness.
  • Communicate effectively with peers on the marketing science team, internal clients, and company leadership regarding ongoing projects and future possibilities.
  • Carry out ad-hoc data extracts and analyses as needed.

Qualifications:

  • 3-5 years of experience in data analysis or an advanced degree (MS, MBA, PhD) in a related field.
  • Fluent in English and at least one language related to statistical analysis (e.g., R, SAS, STATA) and another regarding data management (e.g., SQL).
  • Excellent communicator; able to clearly demonstrate findings and the reasons for them.
  • Attention to detail and overarching curiosity are both essential.
  • Willingness to learn new quantitative techniques and programming languages.
  • Responsible and reliable; able to set and meet deadlines.
Visa
  • Austin, TX
Company Description
Common Purpose
Everyone at Visa works with one goal in mind making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks.
We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visas sponsorships, including the Olympics and FIFA World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.
Visa customers trust us with the richest data on earth about global commerce. Working on data at Visa is unique opportunity at a time when the payments industry is undergoing a digital transformation with data as a critical differentiator.
We offer you the opportunity to be at the center of innovation in the payments industry and unleash the power of data through applying data sciences to business problems.
Job Description
The Position
As a data scientist based in Austin, this position is responsible developing and delivering predictive analytic capabilities that get incorporated into Visa products in a variety of domain such as Risk & Fraud, Commercial and Merchant areas.
This role will be part of a group that works in tight collaboration with product engineering, product management, and operations to ensure business effectiveness of products.
We desire candidates with deep expertise in machine learning or statistics and experience in delivering predictive systems on big data.
Responsibilities
The Following Are The Group Responsibilities
  • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with Risk, Commercial and Merchant product management.
  • Work with product development (engineering) to ensure implementability of solutions. Deliver prototypes and production code based on need.
  • Work with Data platform to drive availability of relevant data, tools, and infrastructure for group for experimental and development purposes.
  • Experiment with in-house and third party data sets to test hypotheses on relevance and value of data to business problems.
  • Build needed data transformations on structured and un-structured data.
  • Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
  • Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
  • Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
  • Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
  • Contribute to development and adoption of shared predictive analytics infrastructure
The responsibilities above are group responsibilities and specific individuals will be assigned responsibilities based on the group's needs and individual skills and preference Qualifications.
Qualifications
    Recen
    • t graduate in PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
    • Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
    • Deep learning experience with TensorFlow is a plus.
    • Strong understanding of algorithms and data structures.
    • Strong analytic and problem solving capability combined with ambition to solve real-world problems.
    • Results orientation with ability to plan work and work in a team
    • Strong verbal and written communication skills.
    • Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus.
    • Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++ or C#.
    • Experience with one or more common statistical tools such SAS, R, KNIME, Matlab.
    • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15519A
Burger King Corporation
  • Miami, FL

Position Overview:

This person will be key in the structuring of our new Guest Insights and Intelligence area within BK North America. Burger marketing analytics has evolved substantially over the past several years, to a point where we have a very detailed understanding of our sales on a product or ticket level. Nevertheless, our understanding of who is buying our products and offers is still very limited. With an increasingly competitive market, our objective is to create a new area that will have as its core focus the understanding of our guests, which ultimately will drive our strategy across several different initiatives, including calendar, pricing, innovation, advertising/communication. With more data available than ever coming from our mobile app, kiosks, POS, credit card, and external data sources, were looking for a data scientist with strong business judgment who will be able to help us structure and develop this area, effectively transforming how we look at marketing analytics at BK and eventually RBI.


Responsibilities & Qualifications:


    • 3-5 years of professional experience, masters degree a plus
    • Expertise in data modelling, visualization, and databases
    • Proficiency with statistical packages (e.g. SAS and R), database languages (e.g. SQL Server, MySQL, Oracle Express), and media measurement tools (e.g. DoubleClick, Omniture, Google Analytics)
    • Datab
      • ase design and implementation Machi
      • ne learning Time
      • series and forecasting Data
      • mining Linea
      • r and logistic regression Decis
      • ion trees Segme
      • ntation analysis Clust
      • ering techniques Marke
      • ting mix models Data
      • visualization techniques


  • Market research and competitive analysis aimed at driving growth
  • Comprehensive data analysis and manipulation to help identify trends
  • Strong interpersonal and communication skills

Restaurant Brands International US Services LLC (RBI) is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

Expedia, Inc.
  • Bellevue, WA
Expedia Group, within Enterprise Risk & Security, is looking for a Senior Director, Data Science. This role enables one of the world’s largest eCommerce travel companies, Expedia Group, to leverage valuable insights and best in class innovative fraud and security detection technologies based on advanced data science. This leader leads an organization of talented Data Scientists and Business Intelligence professionals


Responsibilities



  • Apply Data Discovery, Data Mining and Machine Learning techniques to make new business cases and drive them from concept to production

  • Leverage traditional and emerging analytics frameworks including DB2, Hadoop, Mahout, R, SAS, etc. and lead the evolution of the analytic framework and its adoption across Expedia

  • Provide and consult with various partners and leaders across Expedia Group regarding data science & business intelligence solutions

  • Build and manage a high performing team

  • Provide thought leadership to both data scientists and BI analysts as well as leaders across the group.

  • Develops and implements strategies to attract and maintain a highly skilled and engaged workforce

  • Lead and strengthen a team of data scientists, analysts and data engineers who inform strategy, investment, and design and build solutions for machine learning, AI, journey analytics, orchestration and personalization

  • Work with internal partners to define requirements, guide product and architectural vision, and prioritize efforts

  • Advance and actualize the team’s vision, starting with roadmap development and prioritization, which may include items like a strategic critical metric framework, customer portfolio optimization and planning, strategic site analysis (segments and pathing), measurement and attribution, AI platform evaluation and journey analytics

  • Continuously innovate by staying abreast of and bringing recommendations on the latest tools and techniques (and evaluate options) associated with consumer personalization, AI/Machine learning, deep learning, real time decisioning, and digital analytics

  • Iterate quickly in an agile development process

  • Design, plan, and manage projects from start to finish & produce data driven results with appropriate techniques to answer key business questions

  • Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value to your internal stakeholders/partners

  • Create and execute analytic solutions to improve and optimize business performance and minimize risk

  • Deliver on time current production models and systems including regular refresh and update

  • Design, build and launch the next generation of the modeling platform

  • Oversee the automation and data accuracy of BI


Person Profile



  • PhD in Computer Science is required, MBA preferred

  • 5+ years of experience of managing a data science team

  • 10+ years of data science experience

  • Think strategically and results driven

  • Self-starter that has superb communication skills and experience working in fast paced environments

  • Experience with big data technologies: Hadoop, Hive, HBase Spark etc.

  • Experience in using Machine Learning algorithms like Logistic Regression, Gradient Boosted Decision Tress, Deep Neural Networks, etc. and with ML toolkits/frameworks like R and TensorFlow on-premise and in the Cloud

  • Prior experience in data quality control, data validation, data cleansing, data pipeline and data analytics

  • Experience of partnering with technology or data engineering team for pushing models into production

  • Experience leading teams building and delivering advanced analytics projects including predictive models

  • Experience of fraud and risk is desired


Why join us?


Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them to tools to do so.  


Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.


If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

Quicken Loans
  • Detroit, MI

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We’re united by our culture – a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job – it’s about having the opportunity to become the best version of yourself. 


Who We Are


We’re America’s largest mortgage lender, closing loans in all 50 states. J.D Power ranked Quicken Loans “Highest in Customer Satisfaction in Primary Mortgage Origination” for the past eight consecutive years, 2010 – 2017. The company was also ranked highest in the nation for client satisfaction among mortgage servicers by J.D. Power for four consecutive years, 2014 through 2017, each year the company was eligible. There’s a simple reason we’ve been so successful: We care about the people we work with.


If you’re tired of stuffy, bureaucratic workplaces, then you’ll be delighted to find something different here. We strive to make a creative, fun and collaborative environment you simply won’t find anywhere else. Quicken Loans was named #1 in ESSENCE Magazine’s first ever list of “Best Places to Work for African Americans” in 2015. We've been on Computerworld's "Best Places to Work in IT" list for 13 years running, hitting #1 the last five years. We were also ranked #14 in FORTUNE Magazine’s list of "100 Best Companies to Work For" in 2018, remaining in the top-30 for the past 15 years.


What You’ll Do/Need


The Data Scientist at Quicken Loans delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business. The successful candidate combines strengths in mathematics and applied statics, computer science, visualization capabilities and a healthy sense of exploration and knowledge acquisition.



Responsibilities



  • Leverage your knowledge of programming, mathematics and computer science to transform the way our company does business

  • Translate business opportunities into data-driven machine learning, big data and modeling solutions that revamp our processes or produce data products

  • Develop and collect data for ad hoc and statistical analyses

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Maintain relationships between business area clients, Business Intelligence and Technology so all teams are aligned to meet team objectives

  • Work with Project Managers to develop detailed project timelines

  • Summarize and present conclusions and solutions

  • Communicate complex analyses clearly to all audiences


Requirements



  • Master’s degree or above in a STEM field, including but not limited to: computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences, physics, chemistry

  • 4 years of experience providing advanced analytics within a business setting

  • 1 year of data science implementation experience within a business setting

  • Experience working with raw and missing data

  • Understanding of programming fundamentals

  • Understanding of statistics

  • Excellent communication skills


 What’ll Make You Special



  • Experience with data visualization tools and time series

  • Working knowledge of relational databases and standard SQL query methods

  • Proficiency in at least one general programming language such as Python, Java or C/C++

  • Experience working with big data within a Hadoop environment

  • Experience working with R, SAS or other statistical packages

  • Advanced experience with statistical, econometric or data-mining tools and methods

  • Experience with linear models (linear regression, generalized linear regression, logistic regression), and nonlinear modeling techniques

  • Knowledge of advanced nonlinear techniques, including smoothing and ensemble methods


What You’ll Get



  • Excellent benefits package that includes a 401(k) match, medical/dental/vision insurance and much more

  • Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training

  • Other incentives, contests and rewards, including trips, event tickets, cash prizes and more


Why We're Different 


Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.






The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team, The Pulse, at 1-800-411-JOBS. 

Sprouts Farmers Market
  • Phoenix, AZ

The manager of marketing data science for Sprouts will enable Sprouts Marketing to extend and leverage its behavioral data assets to make more informed decisions for marketing with a focus on marketing tactics and loyalty to empower, educate and inspire Sprouts customers.


Essential Functions
  • Develop and implement a proactive program of processes, and deliverables to improve data gathering, analysis, and intelligence dissemination.
  • Design and implement timely marketing campaign and promotional measurement that measures ROI and incrementality.
  • Apply design of experiments (DOE)techniques for A/B and multi-dimensional testing to drive data driven business decisions.
  • Design and execute customer targeting models that drive incremental response for the business (CRM development) as related to acquisition, retention, and customer recovery.
  • Design and leverage various types of customer segmentation models to enhance targeting efforts and to drive measurable results.
  • Provide timely and accurate profiles of the customers within and across brands to identify opportunity for growth and assess overall customer health.
  • Integration of marketing performance and impact within the sales funnel to drive coordination between Marketing and Operational initiatives.


Knowledge, Skills, Abilities and Physical Requirements
  • Bachelors Degree in Computer Science, Statistics, Advanced Analytics, Mathematics or relevant field.
  • Preferred 2-5 years of relevant work experience.
  • Able to work well with people across multiple functions.
  • Experience helping an organization aspiring to a big data environment.
  • Familiarity with various data modeling techniques (linear/logistic regression, ANOVA, ARIMA, Clustering, time series, machine learning).
  • Strong command of advanced data analysis tools and software (R, Python, SAS, etc.), and querying languages (SQL).
  • Advanced skills to work with large, complex, and disparate data (accessing, connecting, and analyzing).
  • Highest standards of accuracy and precision; highly organized.
  • Strong analytical and problem-solving skills.
  • Ability to handle multiple priorities against multiple deadlines.
  • Ability to communicate/present to senior level managers.
Capgemini
  • Atlanta, GA

 Data Science Senior Manager:

The Data Science & Analytics practice group at Capgemini is expanding its footprintrapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries ranging from Media & Entertainment to Life Sciences and everywhere in-between. Our team has worked with geospatial data, on social media sentiment analysis, built recommendation systems, created image classification algorithms, solved large-scale optimization problems, and harnessed the massive influx of data generated by the IoT.


The Data Science & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the Data Science & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the Data Science & Analytics practice group at Capgemini is the best place to grow your career.


Role & Responsibilities:
     Develop
    • analytics practice including consulting management, practice and business development with a strong of broad-based experience in diverse industries
  • Generate and execute the Data Science roadmap strategy for practice
  • Develop internal industry solutions with management for practice
  • Provide guidance on overall practice to ensure successful delivery while balancing internal initiatives
  • Quickly understand client needs, assemble teams, manage delivery, and articulate findings to client executives
  • Prospect, generate, and deliver new business opportunities in given sector to meet revenue targets
  • Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources
  • Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility.
  • Mentor and develop team
  • Grow data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts
  • Participate in client discussions, interact with CxOs at client organization to articulate the value of data science approaches, different service offerings and guide them on implementation of the same
  • Collaborate with client managers in a broad range of sectors to identify business use cases and develop solutions in driving impact through data science and analytics, communicate results, and inform practice group through reports and presentations
  • Develop, enhance, and maintain client relations while ensuring client satisfaction
  • Ability to successfully deliver and manage multiple client engagements globally


Requirements:

  • 10+ years professional work experience as a data scientist or on advanced analytics / statistics projects  
  • MUST POSSESS CONSULTING EXPERIENCE
  • Masters degree or PhD in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field.  
  • Strong understanding and application of statistical methods and skills: distributions, experimental design, variance analysis, A/B testing, and regression.
  • Possess executive presence and ability to drive senior executive thinking
  • Value engineering (distilling a business case)
  • Consulting engagement management / economics
  • Skilled with practice / business development
  • Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and non-linear regression, hierarchical mixed models/multi-level modeling, and ability to answer questions about underlying algorithms and processes.
  • Experience with both Bayesian and frequentist methodologies.
  • Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, ect.).
  • Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)
  • Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, ect.)
  • Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering, NMF).
  • Preferred experience with NLP, Graph Theory, Neural Networks (RNNs/CNNs), sentiment analysis, and Azure ML..
  • Experience building scalable data pipelines and with data engineering/ feature engineering.
  • Preferred experience with web-scrapping.
  • Experience building and deploying predictive models.
  • Expertise using PowerPoint and clearly articulating findings/ presenting solutions.
  • Excellent team-oriented interpersonal skills and demonstrated leadership.
  • Track record delivering successful data science projects and managing global teams.
  • Demonstrated leadership by building Data Science teams and fostering growth.
  • Proven success generating growth and hitting revenue targets.
Quicken Loans
  • Detroit, MI

Who We Are





We’re America’s largest mortgage lender, closing loans in all 50 states. J.D Power ranked Quicken Loans “Highest in Customer Satisfaction in Primary Mortgage Origination” for the past eight consecutive years, 2010 – 2017. The company was also ranked highest in the nation for client satisfaction among mortgage servicers by J.D. Power for four consecutive years, 2014 through 2017, each year the company was eligible. There’s a simple reason we’ve been so successful: We care about the people we work with.



If you’re tired of stuffy, bureaucratic workplaces, then you’ll be delighted to find something different here. We strive to make a creative, fun and collaborative environment you simply won’t find anywhere else. Quicken Loans was named #1 in ESSENCE Magazine’s first ever list of “Best Places to Work for African Americans” in 2015. We've been on Computerworld's "Best Places to Work in IT" list for 13 years running, hitting #1 the last five years. We were also ranked #14 in FORTUNE Magazine’s list of "100 Best Companies to Work For" in 2018, remaining in the top-30 for the past 15 years.





What You'll Do/Need





The Data Scientist at Quicken Loans delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business. The successful candidate combines strengths in mathematics and applied statics, computer science, visualization capabilities and a healthy sense of exploration and knowledge acquisition.



Responsibilities



  • Leverage your knowledge of programming, mathematics and computer science to transform the way our company does business

  • Translate business opportunities into data-driven machine learning, big data and modeling solutions that revamp our processes or produce data products

  • Develop and collect data for ad hoc and statistical analyses

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Maintain relationships between business area clients, Business Intelligence and Technology so all teams are aligned to meet team objectives

  • Work with Project Managers to develop detailed project timelines

  • Summarize and present conclusions and solutions

  • Communicate complex analyses clearly to all audiences


Requirements



  • Master’s degree or above in a STEM field, including but not limited to: computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences, physics, chemistry

  • 4 years of experience providing advanced analytics within a business setting

  • 1 year of data science implementation experience within a business setting

  • Experience working with raw and missing data

  • Understanding of programming fundamentals

  • Understanding of statistics

  • Excellent communication skills


What’ll Make You Special



  • Experience with data visualization tools and time series

  • Working knowledge of relational databases and standard SQL query methods

  • Proficiency in at least one general programming language such as Python, Java or C/C++

  • Experience working with big data within a Hadoop environment

  • Experience working with R, SAS or other statistical packages

  • Advanced experience with statistical, econometric or data-mining tools and methods

  • Experience with linear models (linear regression, generalized linear regression, logistic regression), and nonlinear modeling techniques

  • Knowledge of advanced nonlinear techniques, including smoothing and ensemble methods





What You'll Get






  • Excellent benefits package that includes a 401(k) match, medical/dental/vision insurance and much more

  • Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training

  • Other incentives, contests and rewards, including trips, event tickets, cash prizes and more



Why We're Different



Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.



Quicken Loans is an equal opportunity employer.



Disclaimer: Quicken Loans received the highest numerical score in the proprietary J.D. Power 2010 – 2016 Primary Mortgage Origination studies and the 2014 – 2017 Primary Mortgage Servicer studies. 2016 Origination (or Sales) based on 5,182 total responses and measures the opinions of customers who originated a new mortgage or refinanced within the past 12 months, surveyed in July – August 2016. 2017 Servicing based on 7,374 total responses and measures the opinions of homeowners on their mortgage servicing company, surveyed in March – April 2017. Your experiences may vary. Visit JDPower.com.


Quicken Loans is the #1 online lender based on the ranking of Quicken Loans in comparison to online residential mortgage lenders included in the Inside Mortgage Finance "Top 50 Mortgage Lenders" report from Q2 2017.

Amica Insurance
  • Headquarters: Lincoln, RI URL
Headquarters: Lincoln, RI URL: https://www.amica.com/en.html [https://www.amica.com/en.html] Are you looking for a job in a growing industry with new products, new markets and new technology? With locations across the country, Amica Mutual Insurance Company offers opportunities to join this dynamic field with a financially strong and respected insurance provider. Amica, based in Lincoln, RI, is a national writer of auto, home, marine and umbrella insurance. Amica Life Insurance Company, a wholly owned subsidiary, offers a full line of life insurance products. We are recognized as a leader in customer service and credit this success to our 3,800 employees in 44 offices across the country. Our benefits package includes high-quality medical, dental and vision coverage, short-term and long-term disability insurance and more. Our office located in Lincoln, RI is seeking an Associate Modeling Research Analyst to help further our data science and analytics capabilities. The Claims Business Intelligence team’s mission is to provide current, comprehensive, and accurate information empowering Amica to make the best business decisions possible. The 37.5 hour schedule is Monday through Friday and is not a remote position. The selected candidate will combine insightful data analysis and algorithm development with exceptional communication skills in order to drive business value from structured and unstructured data. Will be responsible for shaping and executing analyses, and preparing clear and concise presentations. Job Functions and Responsibilities: •Use machine learning, hypothesis testing, and other data science techniques to develop solutions and positively impact the Company •Determine requirements, evaluating analytical approaches, and producing predictive models using appropriate software •Create useful insights and compelling stories from structured and unstructured data •Communicate and document statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers •Provide technical leadership, mentoring, and training to staff in statistical modeling and data analyses •Assist with supervision of all processes involved with the development of multivariate models •Collaborate on the development and planning of analytic projects in response to business needs •Contribute to the development of data models for mining production databases •Participate in development of the analytics roadmap by evaluating and incorporating emerging standards, best practices, and new technologies •Make recommendations on products and services to support structured and unstructured data mining •Demonstrate strong business acumen and understanding of insurance concepts •Ensure accuracy of results and analytic methods •Perform other job-related duties as necessary Job Requirements: •Bachelor’s degree in Statistics, Mathematics, Economics or similar discipline (Master's degree preferred) •3+ years recent, hands-on experience working with data mining tools (SAS, SPSS, R Studio, Python, or an equivalent analytics package) •Proficiency with logistic regression, time series, neural networks, forecasting, optimization, and other predictive modeling techniques •Expertise in text and sentiment analysis •Experience manipulating large amounts of data using SQL •Exceptional communication and presentation skills •Ability to translate business needs into technical requirements •Superior analytical, mathematical, and problem solving skills •Ability to work with a reasonable degree of independence and with a team •Effectively manage time to handle competing high priority projects •Experience using Business Intelligence tools (MicroStrategy) and creating data visualizations is a plus •Knowledge of Claims Processing systems (Guidewire ClaimCenter) is a plus Equal Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, religion, sex, color, national origin, ethnicity, age, genetic information, disability or sexual orientation. The Age Discrimination in Employment Act prohibits discrimination on the basis of age with respect to individuals who are 40 years of age or older. Employees are subject to the provisions of the Workers' Compensation Act. To apply: https://re22.ultipro.com/AMI1002/JobBoard/JobDetails.aspx?__ID=*6EFA0C018EA2DC42 [https://re22.ultipro.com/AMI1002/JobBoard/JobDetails.aspx?__ID=*6EFA0C018EA2DC42]
DeepCure
  • Boston, MA

A stellar opportunity to join the core team of a nifty startup: join DeepCure and have a massive impact on redefining drug-discovery. As a Deep Learning Engineer at DeepCure you will be at the heart of designing our transformative AI platform, work on the biggest challenges in the pharma industry, apply cutting-edge technologies, and help us shape the companys scientific vision ensuring we are constantly pushing the bar of what is possible.


ABOUT DEEPCURE:

DeepCure, founded by a team of researchers from the MIT Media Lab, develops disruptive Artificial Intelligence to revolutionize pharmaceutical development. We reimagine drug development as if it was designed today, with access to the latest breakthroughs in Deep Learning, Cloud Computing, and our proprietary database of one trillion chemistries, and without the existing biases. Our goal is to redefine the way we discover new drugs by improving the breadth and accuracy of pre-clinical drug development and saving up to 80% of the pre-clinical time and cost. More importantly, we save lives by designing algorithms that can find highly effective drugs which do not exist in any current drug library and are extremely unlikely to be discovered by any existing conventional drug discovery pipeline.


IN THIS ROLE YOU WILL:

  • Design, develop, and maintain the core machine learning and data infrastructure solutions that power DeepCure.
  • Introduce technology innovations concerning performance, reliability, and scalability in our end-to-end machine learning pipeline.
  • Perform research to design, implement, and validate novel Deep Learning models to expand our product capabilities.
  • Collaborate closely with DeepCures Computational Chemistry and Drug Development teams to maximize the impact of our AI capabilities.


A PERFECT CANDIDATE HAS:

  • Deep passion for Artificial Intelligence and the future of drug development.
  • A degree in Computer Science or related discipline preferably with a focus on machine learning.
  • Familiarity with evolving approaches and technologies in Deep Learning.
  • Strong understanding of statistical concepts and predictive modeling (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, etc.).
  • Demonstrated Deep Learning software development experience, preferably in Tensorflow.
  • A mission-driven attitude and natural problem-solving ability.
  • Ability to work at a fast pace and readily adopt new technologies and ways of thinking.
  • Ability to function within strong multi-disciplinary project teams.
  • Excellent communication skills. Ability to communicate in an open, clear, timely and consistent manner.
PREFERRED SKILLS:
  • Working experience with advanced statistical tools such as R, Python, Scala, Spark.
  • Specific working experience and conceptual knowledge of cloud (e.g. AWS, GCloud, Azure, etc.) and DevOps (e.g. Git, Jenkins, Docker, etc.) technologies.
  • Comfort with modern software development practices (code review, CI/CD, etc).
  • Experience with large data sets and distributed computing frameworks (e.g. Hadoop HDFS, AWS EMR).


BENEFITS:

  • Well-funded startup with exceptional ambitions, competitive salary, and generous stock options.
  • Have a huge impact in a small entrepreneurial team.
  • Access to comprehensive medical insurance for employees and their dependents.
  • Work in a cool and vibrant space at the heart of Back Bay.
Tech Mahindra
  • Headquarters: Irvine, CA URL:
Headquarters: Irvine, CA URL: https://www.techmahindra.com/DAVID.html [https://www.techmahindra.com/DAVID.html] Responsibilities ·Develop data-driven algorithms for ecommerce solutions.·Create real-time system prototypes for demonstration.·Design algorithm validation and performance tests.·Compare the cost and performance of different machine learning methods such as kernel methods, random forest, and logistic regression models.·Adapt commonly used machine learning algorithms to our specific problems, and implement modified algorithms from scratch as needed.·Analyze raw data to discern a set of rules and the factors influencing those rules to achieve organizational goals.·Apply machine learning in large data environments.·Complete data mining, predictive modeling, clustering, and classification.·Independently write reports detailing methods, results, and impacts of assigned issues. Education: Bachelor's degree in Computer Science, Engineering, Statistic, Science and Math or related technical discipline is required (M.S. preferred).·10 years of relevant professional experience and proven record of original contribution in relevant ecommerce solutions such as: search relevancy/ranking, pricing and inventory management.·Strong experience programming in C/C++/Java/R/C# and ability to write clean and concise code. Familiarity with Python.·Experience creatingMachine Learning/Algorithm related reportsbased upon the resulting work/accomplishments.·Published machine learning /algorithm reports and/or authored new procedures and methods to create innovative approaches to solve complex machine learning/algorithm issues.·Experience with natural language processing techniques.·Significant current experience (i.e., within last 5 years) in machine learning /algorithm-related work.·Ability to work in a very dynamic environment and to adjust to changing requirements and challenges.·Mastery of core computer science concepts, data structures and algorithms.·Production experience with data management, storage and pipeline.·Production experience with cloud environments.·Keen eye for detail and thoughtful investigation of data before relying upon it.·Steadfast focus on creating impactful change and ability to prioritize between many tasks to maximize the improvement of the business. JOB REQUIREMENTS Education:Bachelor's degree in Computer Science, Engineering, Statistic, Science and Math or related technical discipline is required (M.S. preferred). ·10 years of relevant professional experience and proven record of original contribution in relevant eCommerce solutions such as: search relevancy/ranking, pricing and inventory management.·Strong experience programming in C/C++/Java/R/C# and ability to write clean and concise code. Familiarity with Python.·Experience creatingMachine Learning/Algorithm related reportsbased upon the resulting work/accomplishments. ·Published machine learning /algorithm reports and/or authored new procedures and methods to create innovative approaches to solve complex machine learning/algorithm issues.·Experience with natural language processing techniques.·Significant current experience (i.e., within last 5 years) in machine learning /algorithm-related work.·Ability to work in a very dynamic environment and to adjust to changing requirements and challenges.·Mastery of core computer science concepts, data structures and algorithms.·Production experience with data management, storage and pipeline.·Production experience with cloud environments.·Keen eye for detail and thoughtful investigation of data before relying upon it.·Steadfast focus on creating impactful change and ability to prioritize between many tasks to maximize the improvement of the business. To apply: https://www.techmahindra.com/DAVID.html [https://www.techmahindra.com/DAVID.html]
Booking.com
  • Tel Aviv-Yafo, Israel

Data Scientist – Machine Learning (Tel Aviv)


Would you like to translate terabytes of data into unforgettable holidays for millions of people around the globe? We are looking for rock star Data Scientists!


This group of experts crunches endless amounts of data to provide Booking.com users with the best possible experience. It works on all parts of the business: ranking and personalized recommendations, fraud prediction, return prediction in marketing, image understanding, machine translation, and voice and dialogue systems.


The Data Scientists at Booking.com support all areas of the business: Customer Service, our Hotel Partners, Front End, Security… Even Booking.com’s newer products like Booking Home and Business Bookers. Your challenge will be utilizing the petabyte scale data to support business decisions and improve products. Joining a cross functional team of developers, designers, and product owners, we invite you to help us crunch the data to ensure Booking.com as the planet’s #1 accommodation site. You will have full ownership of your work – supporting the initial idea-generation phase to the implementation of the final product on our website. Our ideal candidate is result- focused, innovative and has solid quantitative background and a good business understanding.


B.responsible



  • Work in a multi-disciplined team where you take ownership of the modelling part of turning data into customer experience improvements. This means using data to generate or validate hypotheses about improvement opportunities, building the models that make these improvements happen and following up on feedback generated by millions of customers.

  • Use the autonomy teams have and test hypotheses early and often on suitable parts of our traffic.

  • Actively contribute to taking Data Science at Booking.com to the next level


B.skilled – Required



  • Minimum four years of relevant work experience as a Data scientist / Machine learning from the industry. 

  • Masters, PhD, or equivalent experience in a quantitative field (Computer

  • Science, Mathematics, Engineering, Artificial Intelligence, etc.)

  • An all-around data scientist: strong statistics background, experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data

  • Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java

  • Exposure to SQL and relational databases 

  • Being able to train elementary machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose

  • Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all stakeholder levels


B.skilled – Preferred



  • Experience implementing a real-world Recommender or Ranking system

  •  Worked with the Hadoop Ecosystem

  •  Implemented multi-core/distributed software, preferably in a Linux environment

  • Experience solving real problems using machine learning techniques and with statistical rigor

  • Prior practical experience with the elementary machine learning models such as logistic regression and random forests, and experience with one more other areas such as: (Deep) Neural Networks, Natural language processing Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design, Latent Dirichlet Allocation.


B.offered


We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with other competitive perks and benefits. Technology has regular hackathons or what we call “exploration days”, trainings and attends/speaks at global conferences.


This position is open only to candidates that are already based in Israel.