OnlyDataJobs.com

DISYS
  • Minneapolis, MN

Client: Large Bank/Financial Services

Work Location: 100% Remote/Telecommute (Preferred Location: Minneapolis, MN) 

Duration: 12 month contract, extendable to 24 months, and eligible for conversion to FTE.

Position Title: People Analytics Consultant

Description:

  • Role requires project management and research experience.
  • Intermediate to Expert level of experience with R strongly desired.
  • Must be extremely comfortable with the following:   Interacting with dashboards --- Working with large datasets of structured and unstructured data ---- Data Reporting ---- Using Tableau ---- Understanding reporting requirements and structural hierarchies for reporting in a collaborative environment ---- Working independently ---- Working on multiple projects
  • Experience with graphic and visuals for storytelling with data/data reporting for executives and senior leaders is a huge plus

Key things that I am looking for:

  • Comfort with data- structured and unstructured
  • Survey design experience
  • experience with hands on deploying and managing survey/measurement related projects people/employee data analysis/modeling experience people analytics experience is a plus
  • Data visualization /graphic design for data reporting/storytelling experience is a HUGE plus
  • Comfort/experience with data analysis tools/programming languages such as SPSS, R, and/or Python


Desired Qualifications:

  • 1+ years of experience with R (Programming Language) and RStudio
  • 6+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters Degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 
  • 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  • 2+ years of Experience with Tableau -must be comfortable building out dashboards, creating visualizations, working with complex structured and unstructured data in Tableau
  • 2+ years creating dashboards and reporting data in a clear and structured way using tools/code such as R, SQL, Python
FPC of Three Rivers PA
  • Dallas, TX

Summary

FPC of Three Rivers is happy to present Senior Data Scientist role in the healthcare industry. You will be part of a team working to build next gen data analytics / Machine Learning empowered products.    

Day to Day

  • As part of a team of data scientists, software developers, and architects; engage business users to understand and solve complex problems using data analytics and insights.
  • Prototype / develop new Artificial Intelligence / Machine Learning based products, as well as enhancements/upgrades to existing products all of which provide business value.
  • Maintain a passion for innovation, specifically at the nexus of abstract mathematics, analytics, and computer science.
  • Be a multiplier, increasing group expertise through exploration of emerging domains, toolsets, and methodologies.

Required Qualifications

  • Masters degree in statistics, analytics, mathematics, machine learning or related field.
  • 4+ years of experience using Machine Learning and/or Artificial Intelligence to solve tangible business problems within an established organization.
  • Demonstrated success in translating unstructured business problems into analytical models.
  • Experience with a subset of the following tools / libraries: Python, R, Jupyter, Zeppelin, SparkML, H20, and/or TensorFlow.
  • Experience with cloud computing environments.


Preferred Qualifications

  • Experience with healthcare data analytics.
  • Experience with healthcare industry processes, trends, and standards.
WorldLink US
  • Dallas, TX

Business Analyst

Dallas, TX

Full time, direct hire position

Seeking a bright, motivated individual with a unique, wide range of skills and the ability to process large data sets while communicating findings clearly and concisely.

Responsibilities

  • Analyze data from a myriad of sources and generate valuable insights
  • Interface with our sales team and clients to discuss issues related to data availability and customer targeting
  • Execute marketing list processing for mail, email and integrated multi-channel campaigns
  • Assist in development of tools to optimize and automate internal systems and processes
  • Assist in conceptualization and maintenance of business intelligence tools

Requirements

  • Bachelors degree in math, economics, statistics or related quantitative field
  • An ability to deal and thrive with imperfect, mixed, varied and inconsistent data from multiple sources
  • Must possess rigorous analytical disciplined approach, as well as dynamic, abstract problem solving skills (get to the answer via both inspiration and perspiration)
  • Proven ability to work in a fast-paced environment and to meet changing deadlines / priorities on multiple simultaneous projects
  • Extensive experience writing queries for large, complex data sets in SQL (MySQL, PostgreSQL, Oracle, other SQL/RDBMS)
  • Highly proficient with Excel (or an alternate spreadsheet application like OpenOffice Calc) including macros, pivot tables, vlookups, charts and graphs
  • Solid knowledge of statistics and able to perform analysis in R SAS or SPSS proficiently
  • Strong interpersonal skills as a team leader and team player
  • Self-learning attitude, constantly pushing towards new opportunities, approaches, ideas and perspectives
  • Bonus points for experience with high-level, dynamically compiled programming languages: Python, Ruby, Perl, Lisp or PHP

  **No VISA Sponsorship available

Glocomms
  • Dallas, TX

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000

(Unlimited PTO, Remote Work Options, Daily Catered Lunches)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing and integrating state-of-the-art technical solutions? A position as a Security Analyst on our Threat Management Center
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proficient coding capability in at least one of the major programming languages such as Python, R, Java
Proficient in data analysis, model building and data mining
Solid foundation in natural language processing and machine learning
Significant experience with deep learning

Preferred Qualifications
Strong interpersonal, communication and communication skills
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Experience with knowledge management best practices
Penchant to learn about new technology innovation and creativity in applying to business problems

BlueGranite
  • Houston, TX

BlueGranite is looking for a Data & Analytics Staff Consultant to join our team of data architects, engineers, analysts, and data scientists. 


We're looking for individuals with full-time work experience in a professional, project-based setting. Candidates should have experience with data and analytics solutions and workloads, which may include processing and combining data from disparate sources, collecting data from internal systems and preparing it for analysis, or building data visualizations to make the analytical results available to business users and decision makers.


Our consultants work side-by-side with other team members on client projects involving modern platforms and technologies such as SQL Server, Azure data services, Spark, Python, and Power BI.


This full-time position is for individuals who enjoy a hands-on, development role on client-facing project teams with up to 25% travel on an annual basis, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months for training and onboarding (as needed).


At a minimum, were looking for:


  • Experience processing and combining data from disparate sources such as relational databases, spreadsheets, delimited files, flat files or various user created documents
  • Strong skills and experience with Microsoft SQL Server, Azure, and/or Power BI for data warehousing, data lakes, reporting, and analytics solutions
  • Strong interest in building solutions for analytics and data manipulation with languages and tools including Spark, Python, R, SQL, or Hadoop
  • Knowledge of database languages, concepts, and environments
  • Passion for both business and technology
  • Curiosity about data and the ability to translate data-driven insights into decisions and actions
  • Self-starter, self-managed, quick learner, problem-solver with a positive, collaborative, and team-based attitude
  • Excellent communication skills, ability to engage with other project team members and clients
  • Degree in information technology, computer science, business, statistics, mathematics, or engineering
  • Ability to travel on average of 25% per year, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months
  • Authorization to work in the U.S., without the requirement for an employment visa


Although not required of applicants, these are sought-after abilities:


  • Demonstration of thought leadership, community volunteering, recognition or awards
  • Professional work experience with SQL, Hadoop, Python, Spark, or R for data and analytics
  • Experience with the development of data warehouse and business intelligence solutions
  • Ability to implement on-premises or cloud-based data ingestion (ETL vs ELT) solutions
  • Aptitude and experience with SQL queries for analytics and data manipulation


Your primary responsibilities would include:


  • Developing and supporting data and analytics solutions using Microsoft SQL, Power BI, and Azure as part of BlueGranite's project delivery teams
  • Creating informative and interactive data visualizations/models
  • Writing relational and multidimensional database queries, flows and movements
  • Obtaining and maintaining technical certifications in these core areas of expertise


BlueGranite is the driving force of data innovation for our customers. We are strategic trusted advisers who use our aptitude and experience to deliver value to our clients. We invest in our team to become better at who we are and what we do. Our core strategy is to lead with offers for data, insights, and analytics that deliver business value on the Microsoft platform.

This position is for U.S. based applicants located in the following states: Michigan, Indiana, Illinois, Ohio, Minnesota, Texas, Florida, Georgia, North Carolina, South Carolina, New York, Massachusetts, or New Hampshire. We are not able to provide sponsorship for student or other employment work visas at this time.


The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Turnberry Solutions
  • Philadelphia, PA

TITLE:  Data Scientist

Years of Experience: 7+
Education Required: Bachelors Degree or Equivalent Work Experience

Interview Details:
- Phone Interview
- Face to Face Mandatory - Video Call is not an option


Purpose:
Looking for a Data Scientist who will support operations and data architecture teams with insights gained from analyzing company data. You must be that person who can create value out of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs. Additionally, they can utilize AI tools to automate certain processes
 
This person must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. This Data Scientist must possess the skill-sets necessary to hit the ground running and must be willing to learn about the mobile phone business while solving problems quickly and efficiently.
 
See Yourself:

  • Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Position Requirements

Minimum Requirements:
  • Four-year degree in a related Computer Science, Math or Statistical field of study.
  • 7+ continuous years' of professional experience as a Data Scientist.
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A drive to learn and master new technologies and techniques.
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
  • SUPERB communication skills with an emphasis on writing and interpreting abilities
  • Excellent presentation skills. Must have the ability to confirm complex data into digestible formats for non-technical business teams.
Extended Requirements:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience using web services: Redshift, S3, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders.
Physical Environment and Working Conditions:
Agile open floor plan
Onsite 5 days a week
U.S. Bank
  • Minneapolis, MN

SUMMARY

The successful candidate for this Data Analyst position will be responsible for day-to-day reporting of mobile app voice capability function. This is a business line support function that will provide reporting of voice adoption and performance metrics used in communication plans with development and data science groups for targeting enhancements. The successful candidate should be able to provide and communicate reporting findings to peers and senior stakeholders.

RESPONSIBILITIES

This position's job functions will include:

- Reporting/KPIs: Agile reporting dashboards, Capex and Epic and tactical performance measurement.

- Raw data requests: active customers and customers by age, duration, income, etc.

- Adoption/Engagement: user metric tracking, engagement frequency, volume measurement, segmentation reporting and geo-location reporting.

- Digital voice funnel insights: success rates, processing and response timing and engagement and fallout.

- A/B testing: front-end test design with technical partners and test performance measurement (quality tacking, e.g., fall out, success rates, usage rates and response time, and conversion (tracking to goal).

- Satisfaction tracking: CSAT, sentiment and leading satisfaction indicator identification.

- Visualization: self-service dashboard development and proven ability to develop in Excel and Tableau.

This position will help drive and contribute to the overall team success measures and goals related to:

- KPI Metrics (LOB Dashboards)

- Descriptive Statistics

 -Raw Data Requests

- CapEx Planning / Forecasting

- Benchmarking

- Funnel Analysis

- Forecasting (Plan)

- Optimization (Operational)

REQUIRED

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

- 6+ years of statistics or analytics experience.

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

PREFERRED

- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and others to perform analysis and interpret data.

- Mastery of Microsoft Excel.

- Experience in report development, automation, and visualization.

- Strong reporting skills with the ability to extract, collect, organize, and interpret trends or patterns in complex data sets.

- Basic understanding of data science capabilities and language.

- Demonstrated project management skills.

- Demonstrated leadership and pro-activity skills.

- Effective interpersonal, verbal and written communication skills.

- Considerable knowledge of assigned business line or functional area.

- Working knowledge of customer self-service technology capabilities.

- Basic understanding of data architecture and development concepts.
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!

PrimeRevenue
  • Atlanta, GA

ARE YOU READY TO WORK AT PRIMEREVENUE?

Do you want to work for a high growth, FinTech company helping other companies innovate, grow and create jobs? Do you enjoy working within an entrepreneurial environment that is mission-driven, results-driven and community oriented? Were looking for a Director of Data Architecture to continue the impressive development of our data enterprise, exposing our customers to the wealth of insights and predictive analytics. The Director will be responsible for design, development, and execution of data product initiatives. This individual will be part of multi-disciplinary team including data architects, BI developers, technical architects, data scientist, engineering, and operational teams for data products.  

WHAT YOU GET TO DO:

    • Design, create, deploy and manage our organization's data architecture
    • Develop and own our Data Product Roadmap
    • Map the systems and interfaces used to manage data, set standards for data management, analyze current state and conceive desired future state, and conceive projects needed to close the gap between current state and future goals
    • Provide a standard common business vocabulary, express strategic data requirements, outline high level integrated designs to meet these requirements, and align with enterprise strategy and related business architecture
    • Set data architecture principles, create models of data that enable the implementation of the intended business architecture
    • Create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision
    • Drive all phases of data modelling, from conceptualization to database optimization, including SQL development and any database administration
    • Design ETL architecture



WHAT ARE WE LOOKING FOR?

  • Bachelor's degree in Computer Science or related discipline
  • Minimum 10 years working in data products organization
  • Knowledge of relational and dimensional data modelling
  • Knowledge of RDBMS solution (DB2, Oracle)
  • Excellent SQL skills
  • Experienced in Agile methodologies
  • Deep understanding of Data Management principles
  • Strong oral and written communication skills
  • Strong leadership skills
  • BI tools (Tableau, MicroStrategy)
  • Experience architecting enterprise data lakes in AWS
  • Hands-on experience with Hadoop frameworks/tools such as Kinesis, Glue, Redshift, Spark, Hive, Pig etc
  • Experience with distributions in Amazon EMR
  • Previous work with NoSQL databases such as PostgreSQL, MongoDB


WHO ARE YOU?

SMART, HUNGRY, & HUMBLE PERSONALITY IS A MUST!


WORKING AT PRIMEREVENUE BENEFITS:

    • Professional growth within our company
    • Monthly fun TEAM events
    • Generous benefits package
    • Community Service-Oriented Culture
FlixBus
  • München, Germany

We're looking for a motivated and driven Data Scientist (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.


Your Tasks – Paint the world green



  • You analyse our data and prototype systems and algorithms for customer relationship management and customer behaviour modelling

  • You use statistical models to answer real-life questions such as

    • “Is departure time more important than trip duration?”

    • “What are the effects of a marketing campaign on customer demand?”

    • “Are robots better at making advertisement texts than human?”



  • You work closely with our marketing department, business intelligence and product development teams on solutions for data-driven decision making

  • You solve our complex business challenges with creative insights


Your Profile – Ready to hop on board



  • Experience as a Data Scientist or a relevant role

  • Hands-on experience with various machine learning algorithms, statistics and algorithm design

  • Fluency in at least one high-level programming language (Python, Scala, R, etc)

  • Data visualization skills

  • Working knowledge of relational and NoSQL databases, Big data tools (Spark, Hadoop, etc) 

  • Experience with deep learning is a plus

  • Working knowledge of search engine optimization and marketing, web analytics, customer relationship management is a plus

KI labs GmbH
  • München, Germany
  • Salary: €70k - 95k

About Us


At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today. We believe in open-source and independent teams, follow Agile practices, lean startup method and aim to share this culture with our clients. We are mainly located in Munich and recently Lisbon.


Your Responsibilities



  • Lead and manage a team of talented Data Engineers and Data Scientists in a diverse environment.

  • Ensure success of your team members and foster their career growth.

  • Ensure that the technology stacks, infrastructure, software architecture and development methods we use provide for an efficient project delivery and sustainable company growth.

  • Use your extensive practical expertise to help teams design, build and scale efficient and elegant data products on cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

  • Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insights;


Skills and qualifications



  • Advanced degree in Computer Science, Engineering, Data Science, Applied Mathematics, Statistics or related fields;

  • Substantial practical experience in software and data engineering.

  • You are an authentic leader, keen on leading by example rather than by direct top-down management;

  • You are committed to operational excellence and to facilitating team communication and collaboration on a daily basis.

  • You like to see the big picture and you have a deep understanding of the building blocks of large-scale data architectures and pipelines.

  • You have passion for data, be it at crunching, transforming or visualising large data streams;

  • You have working knowledge of programming languages such as Python, Java, Scala, or Go

  • You have working knowledge of modern big data tooling and frameworks (Hadoop, Spark, Flink, Kafka, etc.), data storage systems, analytics tools, and ideally machine learning platforms.


Why work with us



  • You will have an opportunity to be at the frontline of innovation together with our prominent clients, influencing the car you drive in five years, the services you have on your flight, and the way you pay for your morning coffee.

  • Working closely with our leadership team, you will have a real chance to influence what our quickly growing company looks like in 3 years.

  • You get a challenging working environment located in the center of Munich and Lisbon and an ambitious team of individuals with unique backgrounds and expertise.

  • You get the chance to work on various interesting projects in short time frames; we do not do work on maintenance or linear projects.

  • We have an open-door work culture where ideas and initiatives are encouraged.

  • We offer a performance-based competitive salary.

TomTom
  • Amsterdam, Netherlands
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • Have a direct impact on our solutions for automated HD mapping, closely interacting with R&D engineers

  • Design, implement and extend our large-scale codebase in Python & TensorFlow, containing both prototyping and production code

  • Implement internal tools and services to make our machine learning solutions work in production



What you’ll need



  • Expert knowledge of Python

  • Hands-on experience with Cloud Computing (AWS, Azure), Microservices, Containers, CI/CD (Jenkins)

  • Experience with writing clean, elegant and maintainable production-level code

  • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

  • Good understanding of mathematics, geometry, statistics, and software design principles



What’s nice to have



  • Experience with modern C++

  • Experience with deep learning frameworks, e.g., TensorFlow or PyTorch

  • High motivation for getting research products and prototypes into production

  • Being technically proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial

  • Creative problem solver and team player; TomTom is a collaborative environment



Meet your team



We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom HD Map at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.




Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?

Brooksource
  • Atlanta, GA

Senior Business Intelligence Analyst

Vinings area of Atlanta, GA

Contract-to-Hire

As a BI Analyst III, you will be developing data solutions in conjunction with key initiatives driven by the different business groups within the organization. You'll be joining a Data Analytics team and working directly with SQL, Tableau, statistical modeling, predictive modeling, machine learning, and other tools that are being used in conjunction to make data and spreadsheets understandable to non-IT colleagues.

Qualifications:

  • Minimum of 3 years of advanced SQL development and troubleshooting experience
  • Bachelor of Science in Computer Science, Computer Information Systems, Management Information Systems, Information Technology, Applied Statistics, or closely-related degree
  • Proven track record of business analysis, requirement definition and solution delivery (examples will be requested during interview)
  • Data Visualization experience (Tableau / Cognos / SSRS) strongly preferred
  • Good organizational and interpersonal skills with the ability to work with various functional areas, including Tech Ops, Care, Marketing, and Finance
  • Great attention to detail
  • Ability to work well in a fast-paced environment
  • Flexibility and a positive attitude

Objectives:

  • Functions as a liaison between the client, community, and internal IT and/or external software vendors to develop system solutions to processing systems or business problems.
  • Develop data solutions in conjunction with key initiatives within the organization.
  • Analyze and revise existing system logic difficulties and documentation, as necessary.
  • Reviews project proposals, including gathering facts, analyzing data, and preparing project overview which compares alternatives in terms of cost, time, availability of equipment, and personnel, etc. Recommends course of action.
  • Prepare detailed specifications from which programs will be written.
  • Identifies and assesses probable interactions of related computer systems and predicts impact of a change in assigned system.
  • Ensures data quality and integrity across data-specific application implementations.
  • Supports the testing team and business users in validating that the programs meet the requirements.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Other duties and responsibilities as assigned.

Perks of the Opportunity:

  • Grow a longterm career with a highly reputable Fortune Top 50 global media and technology company leading in innovation
  • Work out of a brand-new office building in a great location in the Battery of SunTrust Park (includes onsite Starbucks, gym, and cafeteria)
  • Free parking with convenient access to a wide variety of restaurants and shops
  • 1 work-from-home day each week

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Aspirent
  • Atlanta, GA

MUST BE A US CITIZEN


Responsibilities

·       Help to create and deliver project proposals and guide our strategic thinking on offering analytics consulting services to our clients

·       Consult with clients to gain an understanding of the current state of the business area(s), their immediate and long term needs, any KPI goals, and to determine what success looks like

·       Consult heavily with business users and stakeholders to 1) identify, capture and leverage appropriate data sources across areas of the business, and 2) ensure that analytical solutions are tailored to business needs and will support or result in actionable customer strategies, and 3) determine delivery & implementation options

·       Develop & help implement strategic analytical and data mining solutions to understand key business behaviors such as customer acquisition, product up-sell, customer retention, lifetime value, channel preferences, customer satisfaction, and loyalty drivers, etc.

·       Lead analytics and strategy engagements; Provide project-specific guidance to our team members in performing analyses and delivering strategic recommendations; Create and maintain project plans, project schedules, and other project documentation

·       Provide statistical methodology and project management support for commercial deliverables as well as custom studies

Qualifications:  

·       5+ years experience in any of the following areas:

·       Statistical/Data Model development leveraging SAS, Python, and R.

·       Data Mining/Financial Analysis

·       Programming strength in a variety of languages: SQL, C/C++, Java, Python, Perl

  • Optional programming strength in the following Hadoop tools: MapReduce, Pig, Hive, Hbase

Knowledge, Skills, & Abilities:  

·       Strong written/verbal communication and presentation skills

·       The ability to work with all levels of staff & leadership

·       Ability to self-motivate, adapt, and multi-task in a fast-paced environment

·       Regression (linear, multiplicative, logistic, censored, Cox, etc)

·       Test Design/Design of Experiments

·       Segmentation and clustering

·       Decision tree analysis

·       Neural networks, genetic algorithms and other computational methods

·       Mathematical programming and optimization

·       Structural equations modeling

·       Conjoint analysis

·       Time series analysis and forecasting, smoothing techniques

·       Information design, info-graphics, scorecard/dashboard/presentation development

EDUCATION REQUIREMENTS:

·       BA or BS required; MS, MBA or PhD preferred

·       Formal training Economics/Econometrics, Statistics, Operations Research, Finance or Mathematics is a plus, familiarity is necessary.

JHU Applied Physics Laboratory
  • Laurel, MD
  • Salary: $100k - 140k

The Johns Hopkins Applied Physics Laboratory (APL) is a national leader in scientific research and development. APL is actively seeking a Senior Data Scientist for the Health Data Sciences & Analytics Group. The Senior Data Scientist will support the National Health Mission Area, whose aim is to revolutionize health through science and engineering. JHU/APL is located midway between Baltimore and Washington, DC.


The Health Data Science and Analytics Group provides cutting edge analytics contributions to national and global publichealth and healthcare challenges, developing solutions in Health Informatics, Population Health, Precision Medicine, Digital Health, Analytics and Software Systems. Our multidisciplinary team of engineers and scientists develop statistical and machine learning algorithms and incorporate visual analytics into software systems that process large and complex data sets. We are looking for data scientists, computer scientists, applied mathematicians, statisticians and software developers that are creative problem solvers and team players dedicated to building world class expertise to provide
solutions for health and healthcare systems around the globe.


Job Summary:
Design and develop novel computational algorithms and statistical methods and design corresponding data architectures to analyze large and complex data for a variety of challenging health and healthcare problems.
Duties:
1. Develop advanced algorithms and create software applications to perform analytics on large-scale and complex data for real-world health and healthcare applications. Promote a climate conducive to intellectual curiosity, creativity, innovation, collaboration, growth, life-long learning, productivity, and respect for others.
2. Be a leader in data science and analytics efforts. Provide input to team leads and other analysts to help define the team’s vision, design and execute analytic projects from start-to-finish, inform technical direction, and support reporting of accomplishments. Assure milestones are met on time and be responsive to sponsor needs. Build collaboration among health stakeholders, working across organizations to bring consensus to achieve objectives. Become a sought out resource by consistently producing high-quality results.
3. Document and present papers to communicate impact of research and engage with sponsor and stakeholder community.
4. Communicate often and effectively with team, sponsors and JHU/APL leadership. Participate in the data science, analytics and APL community. Take advantage of collaboration and innovation opportunities to help ensure success of APL’s mission.


Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.


Qualifications - External
Required Qualifications:
• M.S. in Computer Science, Information Science, Mathematics, Statistics, Data Science, or related field.
• 5-10+ years of experience.
• Demonstrated ability in selecting, developing, and applying machine learning and data mining algorithms.
• Working knowledge of modern large-scale data systems and architectures; ability to manage and manipulate large disparate data sets.
• Experience with graph analytics.
• Experience with pattern recognition, statistical analysis and machine learning; fluent, with hands-on experience with some of the following implementation languages: Python, R, Matlab, JAVA, or C++/C;
• Excellent interpersonal skills and outstanding written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for a wide range of audiences.
• Strong problem solving skills strong analytical and organizational skills; ability to work independently or within a group.
• Must be eligible for Secret clearance requiring background investigation.


Desired Qualifications:
• Ph.D. in the disciplines listed above.
• Demonstrated capability to carry out original machine learning research beyond incremental application of existing techniques, as evidenced by publications in premier conferences.
• Research records that illustrate in-depth understanding of underlying theory necessary to develop novel algorithms to address unique real-world challenges.
• Extensive experience in developing and applying machine learning algorithms in health and healthcare application settings.
• Research experience with advanced machine learning research topics.
• Experience with data–driven predictive model development, unstructured text mining, natural language processing, and anomaly and novelty detection.
• A strong technical writing background.
• Experience in medicine, emergency response, or public health applications and/or exposure to clinical information systems and medical data standards.


Special Working Conditions: Some travel to local sponsor sites and support for field testing may be required.



Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.


Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Equinor ASA
  • Stavanger, Norway

We’re Equinor, an international energy company with a proud history. Formerly Statoil, we are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our Nordic urge to explore beyond the horizon, and our dedication to safety, equality and sustainability, we’re building a global business on our values and the energy needs of the future.


The Chief Financial Officer’s (CFO) organisation is a driving force behind the creation of greater value in the company. We are responsible for the financial and legal functions, providing professional support and advice, and for representing the group in financial markets. A key task for us is to ensure high levels of ethical and financial compliance with corporate and external requirements. By means of active stakeholder management, CFO will manage the market perception of Equinor in Norwegian and international financial markets.


At Equinor we develop software for every aspect of our business and as a developer at Equinor you will have the opportunity to work with a multitude of technologies and domains. These range from simple tools that create an efficient workday, to complex systems that are essential to keep Equinor at the forefront of the energy business.

At Equinor we have built a culture centered around software craftsmanship, open source and sharing knowledge. Additionally we value security, test driven development, continuous integration/deploy and agile work methodologies.

This ad is part of an ongoing recruitment. Applications will be looked into and handled on a continuous basis.


Job Description


We are looking for junior or experienced developers to design and create tools, libraries, applications, platforms and solutions which solve the challenges the largest energy company in Norway face in the age of digitalization.

Do you like implementing libraries and creating tools for other developers?

Do you like to solve complex problems and build large systems?

We develop a wide range of systems towards research and various business units.

Work location:
Stavanger, Bergen or Trondheim


Qualifications


We frequently use Python, C/C++, C#, Java and NodeJS (and many others)

Good knowledge with algorithms, mathematics or physics

Experience with open source is a plus

Experience with statistics, mathematics, physics, visualization [and|or] machine learning is beneficial.

We prefer candidates with a Computer Science, Engineering or equivalent education at least at bachelor’s or master’s level. However, relevant experience may compensate for any missing degrees.


Personal Qualities


Continuous learning and development attitude

Innovative and creative combined with result orientation and commercialism

Strong interest in understanding of external digital opportunities and how that can contribute to improve Equinor’s performance

A positive “can do” attitude

High integrity and ability to role model our values

Ability to live by «I am safety» expectations


We Offer


We offer competitive salaries, a general bonus scheme, good pension and insurance schemes and a comprehensive welfare package. Equinor wants to ensure diversity in terms of gender, age and culture.

If you are eager to innovate or learn new programming languages and new technologies we provide you with the possibility to use up to 20% of your time on innovation and competence building.

Please check our commitment to open source at GitHub.com/Equinor.


General Information


Make sure that we are able to give your application consideration: Please attach copies of your diplomas, certificates and grades in English or Norwegian (or another Scandinavian language). Applications submitted without such attachments will unfortunately not be evaluated. If you are in the process of completing a degree, please upload an official temporary transcript or other document describing subjects and grades completed to this point.

Our values are to be courageous, open, collaborative and caring. We believe in these qualities, which are essential for building an even stronger Equinor. If you can identify with them, you could be the one to strengthen our team.

Candidates are expected to openly offer all relevant information about themselves during the recruitment process.

 All hires will be screened against relevant sanctions lists to ensure compliance with sanctions law and increase security.

If you have questions about the position or the process please send an email to gm_equinoremea@equinor.com.

Please be aware that no applications or attachments to applications will be accepted via email.

Title and discipline band will be decided based on the candidate's experience.

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 

Pandora
  • Atlanta, GA

Music and data are at the heart of Pandora. As a member of the User Engagement data science team, you will help us build models and design experiments that impact the listening experience of millions of people every day.  We are looking for enthusiastic data scientists with experience in machine learning, statistical modeling and analysis, combined with strong CS fundamentals and coding abilities. Scientists on our team partner with engineers, product managers, and other key stakeholders in the product and marketing teams. You'll interact regularly with senior leadership to directly guide and shape Pandora's efforts in one or more of the following areas:


  • Building ML models and improving the core recommendation system that helps serve music to millions of listeners

  • Developing new ways to model user behavior using cutting-edge techniques

  • Optimizing models to drive user growth and engagement

  • Exploring new opportunities to integrate SiriusXM and Pandora radio programming



Successful candidates will have outstanding communication skills, demonstrated ability to work effectively in a small team, and a natural sense of curiosity and drive to experiment. We welcome diverse perspectives and a collaborative spirit.


Relocation and visa programs available.


Requirements:

  • PhD degree in quantitative field (for example: Computer Science, Machine Learning, Statistics, Biology, Neuroscience, Physics, or Mathematics)

  • Demonstrated background in machine learning and applied statistics

  • 2+ years of industry experience in a data science role

  • Strong Python programming skills

  • Experience with Hive or SQL databases

  • Experience implementing ML models at a large scale in a production environment

  • Experimental design and A/B testing


Plus Requirements:

  • Experience with the Hadoop technology stack
  • Experience with AWS (Amazon Web Services) or GCP (Google Cloud Platform) tools
  • Experience with deep learning APIs such as TensorFlow or PyTorch


Pandora is committed to diversity in its workforce. Pandora is an equal employment employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, race, ethnicity, veteran or disability status. Women and people of color are encouraged to apply.

Pandora is also a VEVRAA federal contractor. Pandora requests priority referrals of protected veterans from each ESDS, as required by regulation.

If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to disability@pandora.com. This email box is designed to assist job seekers who require a reasonable accommodation to the application process. A response to your request may take up to two business days.

In Your Email, Please Include The Following

The specific accommodation requested to complete the employment application process.

The location or office to which you would like to apply.

The subject of the email should read "Request for Reasonable Accommodation".
LPL Financial
  • San Diego, CA

As a Development Manager for Digital Experience Technology, responsible for strategy, analysis, design and implementation of modern, scalable, cloud native digital and artificial intelligence solutions. This role primarily will lead Intelligent Content Delivery program with focus on improving content search engine, implementing personalization engine and AI driven content ranking engine to deliver relevant and personalized intelligent content across Web, Mobile and AI Chat channels.  This role requires a successful and experienced digital, data and artificial intelligence practitioner, able to lead discussions with business and technology partners to identify business problems and delivering breakthrough solutions.

The successful candidate will have excellent verbal and written communication skills along with a demonstrated ability to mentor and manage a digital team. You must possess a unique blend of business and technical savvy; a big-picture vision, and the drive to make a vision a reality.


Key Responsibilities:
 

·       Define innovative Digital Content, AI and Automation offerings solving business problems with inputs from customers, business and product teams

·       Partner with business, product and technology teams to define problems, develop business case, build prototypes and create new offerings.

·       Evangelize and promote Cloud based micro-services architecture and Digital Technology capabilities adoption across organization

·       Lead and own technical design and development aspects of knowledge graphs, search engines, personalization engine and intelligent content engine platforms by applying digital technologies, machine learning and deep learning frameworks

·       Responsible for research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems

·       Manage onsite and offshore development teams implementing products and platforms in Agile

·       Collaborate with business, product , enterprise architecture and cross-functional teams to ensure strategic and tactical goals of project efforts are met

·       Work collaboratively with QA, DevOPS teams to adopt CI/CD tool chain and develop automation

·       Work with technical teams to ensure overall support and stability of platforms and assist with troubleshooting when production incidents arise

·       Be a mentor and leader on the team and within the organization



Basic Qualifications:

·       Overall 10+ years of experience, with 6+ years of development experience in implementing Digital and Artificial Intelligence (NPU-NLP-ML) platforms.

·       Solid working experience of Python, R and knowledge graphs

·       Expertise in any one AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensor flow)

·       Experience with platforms Cloud Platforms and products including Amazon AWS, LEX Bots, Lambda , Microsoft Azure or similar cloud technologies

·       Solid working experience of implementing Solr search engine, SQL, Elastic Search,  Neo4J

·       Experience in data analysis , modelling, reporting using Power BI / similar tools

·       Experience with Enterprise Content Management systems like Adobe AEM / Any Enterprise CMS

·       Experience in implementing knowledge graphs using Schema.org, Facebook Open graph, Google AMP pages is added advantage

·       Excellent collaboration and negotiation skills

·       Results driven with a positive can do attitude

·       Experience in implementing Intelligent Automation tools like Work fusion , UIPath / Automation Anywhere is added advantage

Qualifications:

·       Ms or Ph.D degree in Computer Science / Statistics / Mathematics / Data Science / Any

·       Previous industry experience or research experience in solving business problems applying machine learning and deep learning algorithms

·       Must be hands on technologist with prior experience in similar role

·       Good experience in practicing and executing projects in Agile Scrum or Agile Safe iterative methodologies