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RM Dayton Analytics
  • Dallas, TX
Job Summary & Responsibilities

RM Dayton Analytics premiere retail client has an immediate opening for a Web Analytics & Measurements Analyst.  

Overview:

 

The Analytics & Measurement Specialist position will identify data driven insights, inform test design and measure test results for various pilot test initiatives.

 

Responsibilities:

  • Proposes, executes and communicates discovery analytics to identify new tests or inform test design/sizing
  • Determine relevant metrics to effectively measure the performance of each test
  • Evaluates test performance against KPIs (including deep dives/segment cuts) according to measurement playbook, helps apply learnings to future tests and assists with making scaling decisions
  • Assists in sizing annualized impact of winning tests
  • Receive discovery analysis requests and turn them into concrete analysis plans
  • Perform relevant analytics to support test execution results and deep dives
  • Provide accurate and timely reporting of entire portfolio of active tests results

Requirements:

  • At least 2 years of experience in a business analytics role, preferably in testing or web analytics
  • Experience with A/B, multivariate and/or incremental test design and implementation
  • Experience in data manipulation and analysis using SQL, SAS, R, or Python
  • Bachelors degree in a quantitative discipline (Statistics, Applied Mathematics, Economics, etc) or sufficient on the job use of related skills
  • Exceptional standards for quality and strong attention to detail
  • Experience working in an Agile/Scrum environment
  • Exposure to big data tools such as Hadoop/Hive a plus
  • Experience developing various types of predictive models with a targeted result of increasing revenue is a plus

Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race. color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information or any other consideration prohibited by law or contract.

U.S. Bank
  • Minneapolis, MN

U.S. Bank is currently seeking three Agile Studio Analysts and two Executive Insights Analysts. Descriptions are as follows:


U.S. Bank is currently seeking an Agile Studio Analyst, who will report to an Analytics Manager. This individual will provide advanced analytics and support within U.S. Banks Agile Studios, and he/she will feel at ease querying databases, integrating data from multiple/disparate sources, conducting sophisticated quantitative analyses, and presenting their findings as clear, actionable insights and recommendations that enable revenue growth, channel adoption and customer acquisition, and retention in an Agile team environment. The ideal candidate will be a motivated professional, who is passionate about data and data visualization. He/she must have strong technical and analytical skills, with the ability to understand the business goals/needs, have experience with Agile methodologies and or processes, and be committed to delivering data-driven insights that lead to actionable recommendations.

This individual will also work to build strong and effective relationships across ERA, the Agile Studios, and the enterprise to determine analytic needs, predict trends, and ensure business questions are being answered in the most appropriate manner, in service of acquiring, deepening, and retaining precious U.S. Bank Customer and client relationships.

He/she will also possess a strong willingness to learn and teach and will aid in leading change across a matrixed organization and driving employee engagement. He/she will simplify complexity by successfully utilizing data and analytics tools and techniques to enable better, more customer-centered decisions. This role will be an expert in advanced analytical tools and statistical techniques to separate signal from noise to derive insights that will help answer key business questions.

Basic Qualifications

  • Bachelors degree in a quantitative field such as applied mathematics, economics, statistics, engineering or related field required, or equivalent, relevant work experience
  • Five to seven years of experience in analytics, demonstrating a progressive increase in responsibility and scope, including:  
    • Expert user of advanced analytics tools and techniques to perform analysis and interpret data some examples are: SQL, SAS, Python, Excel, Alteryx, etc.
    • Expert user of analytics data visualization tools, such as Tableau
    • Expert in analytic storytelling and presentation, including PowerPoint and other tools
    • Demonstrated project management, organization skills, and Agile experience

Preferred Qualifications

  • Advanced degree attainment
  • Experience in financial services with knowledge of products, customers, and transaction and interaction data, including source systems
  • Demonstrated understanding of statistical analyses methodologies
  • Ability to work and thrive in a collaborative work environment, as well as independently, to drive results
  • Impeccable attention to detail, while being comfortable with data ambiguity
  • Proven track record of driving analytics into actionable business outcomes
  • Demonstrated ability to influence change across a complex organization


U.S. Bank is currently seeking an Executive Insights Analyst, who will report to an Analytics Manager. This individual will provide advanced analytics and support for the Executive Insights team, and he/she will feel at ease querying databases, integrating data from multiple/disparate sources, conducting sophisticated quantitative analyses, and presenting their findings to executives as clear, actionable insights and recommendations that enable revenue growth, channel adoption and customer acquisition, and retention. The ideal candidate will be a motivated professional, who is passionate about data and data visualization. He/she must have strong technical and analytical skills, with the ability to understand the business goals, needs, and strategy and have experience interacting with executive-level employees, and be committed to delivering data-driven insights that lead to actionable recommendations.

This individual will also work to build strong and effective relationships across ERA, the management committee, and the enterprise to determine analytic needs and definitions, predict trends, and ensure business questions are being answered swiftly and in the most appropriate manner, in service of acquiring, deepening, and retaining precious U.S. Bank Customer and client relationships.

He/she will also possess a strong willingness to learn and teach and will aid in leading change across a matrixed organization and driving employee engagement. He/she will simplify complexity by successfully utilizing data and analytics tools and techniques to enable better, more customer-centered decisions. This role will be an expert in advanced analytical tools and statistical techniques to separate signal from noise to derive insights that will help answer key business questions.

Basic Qualifications

  • Bachelors degree in a quantitative field such as applied mathematics, economics, statistics, engineering or related field required, or equivalent, relevant work experience
  • Five to seven years of experience in analytics, demonstrating a progressive increase in responsibility and scope, including:  
    • Expert user of advanced analytics tools and techniques to perform analysis and interpret data some examples are: SQL, SAS, Python, Excel, Alteryx, etc.
    • Expert user of analytics data visualization tools, such as Tableau
    • Expert in analytic storytelling and presentation, including PowerPoint and other tools
    • Demonstrated project management and organization skills

Preferred Qualifications

  • Advanced degree attainment
  • Experience in financial services with knowledge of products, customers, and transaction and interaction data, including source systems
  • Demonstrated understanding of statistical analyses methodologies
  • Ability to work and thrive in a collaborative work environment, as well as independently, to drive results
  • Impeccable attention to detail, while being comfortable with data ambiguity
  • Proven track record of driving analytics into actionable business outcomes
  • Demonstrated ability to influence change across a complex organization
Indeed - Tokyo, JP
  • Tokyo, Japan

Your job.



The role of Data Science at Indeed is to follow the data. We log, analyze, visualize, and model terabytes of job search data. Our Data Scientists build and implement machine learning models to make timely decisions. Each of us is a mixture of a statistician, scientist, machine learning expert, and engineer. We have a passion for building and improving Internet-scale products. We seek to understand human behavior via careful experimentation and analysis, to “help people get jobs”.

You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality Data Science solutions and lead others to do the same.


You understand that the best managers serve their teams by removing roadblocks and giving individual contributors autonomy and ownership. You have high standards and will take pride in Indeed like we do as well as push us to be better. You have delivered challenging technical solutions at scale. You have led Data Science or engineering teams, and earned the respect of talented practitioners. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.


About you.


Requirements   



  • Significant prior success as a Data Scientist working on challenging problems at scale

  • 5+ years of industrial Data Science experience, with expertise in machine learning and statistical modeling

  • The ability to guide a team to achieve important goals together

  • Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of Data Science products

  • Strong desire to solve tough problems with scientific rigour at scale

  • An understanding of the value derived from getting results early and iterating

  • Strong ability to coach Data Scientists, helping them improve their skills and grow their careers

  • Ph.D. or M.S. in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics

  • Passion to answer Product/Engineering questions with data

  • Proficiency with the English language 


We get excited about candidates who



  • Can do small data modeling work: R, Python, Julia, Octave

  • Can do big data modeling work: Hadoop, Pig, Scala, Spark

  • Can fish for data: SQL, Pandas, MongoDB

  • Can deploy Data Science solutions: Java, Python, C++

  • Can communicate concisely and persuasively with engineers and product managers



Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.


View our bounty of perks: http://indeedhi.re/IndeedBenefits  

IBM
  • Austin, TX

IBM Global Business Services: Join a Leader. Consult with us. IBM Global Business Services helps top-tier clients solve their most complex business and technical issues. As the Advanced Analytics Leader, you will deliver innovative business consulting, business process design, systems integration, and application design and management to leading commercial and public-sector organizations in 17 industries worldwide. With access to resources that only a global leader can provide, as a consultant you will learn valuable skills, gain access to a vast and diverse network of talented professionals, and enjoy unparalleled career, training, and educational opportunities.
 

As the Advanced Analytics Leader you will have an analytics background with in depth knowledge in-SAP, HANA, Big Data-Hadoop, Machine learning . The responsibilities include delivery on consulting engagements, sales activities, and thought leadership. You will also have strong leadership acumen, an ability to operate in positions requiring significant self-direction and motivation, and a proven track record in Analytics consultative selling solutions to senior business and IT leaders. You will be empowered to manage multiple priorities and capable of developing strong relationships at assigned accounts and must be able to:
 

  • Lead and manage data science projects. Support machine learning offerings and be a thought leader in machine learning initiatives across analytics
  • Have a proven track record of drawing insights from data and translating those insights into tangible business outcomes
  • Ability to implement new technologies with cutting-edge machine learning and statistical modeling techniques
  • Establish and maintain deal focused trusted relationships with clients and partners to scope, solution, propose, close and deliver complex projects
  • Identify, notice, validate, and qualify opportunities and help close them on an as needed basis. Maintain a strong pipeline of opportunities and progress them during the quarter
  • Recruit, motivate, mentor and develop team members

Bottom Line? We outthink ordinary. Discover what you can do at IBM.


Required Professional and Technical Expertise :

  • At least 5 years experience in professional services consulting, and sales at a national, or global management consulting firm
  • At least 3 years experience leading and delivering SAP HANA solutions - calculation view modeling, PAL, SQL scripting and performance tuning
  • At least 3 years experience working on full life cycle implementation projects with SAP
  • Strong understanding of SAP data SAP ERP/CRM/APO across modules SD, MM, PP, FI and SAP processes O2C, R2R, P2P
  • At least 2 years experience working on data science projects with of a variety of machine learning and data mining techniques (clustering, decision tree learning, GLM, Bayesian modeling artificial neural networks, etc.)
  • Expertise using statistical computer languages (R, Python, HANA PAL etc.) to manipulate data and draw insights from large data sets
  • Knowledge of working with HANA studio/web ide with calculation views, store procedures, flowgraphs, XS applications

Preferred Professional and Technical Expertise :

  • At least 5 years experience in applying predictive analytic methodologies in a commercial environment
  • At least 5 years experience in professional SAP services consulting, and sales at a national, or global management consulting firm
  • At least 5 years experience working with SAP HANA solution in areas of calculation view modeling, PAL, SQL scripting and performance tuning
  • At least 5 years experience working on full life cycle implementation projects with SAP
  • Strong understanding of SAP data SAP ERP/CRM/APO across modules SD, MM, PP,FI  and SAP processes O2C, R2R, P2P
  • At least 5 years deployment experience on data science projects with a variety of machine learning and data mining techniques (clustering, decision tree learning, artificial neural networks, etc.)
  • Masters in Mathematics, Statistics, Computer Science or similar degree

BENEFITS
Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population.
  • http://www-01.ibm.com/employment/us/benefits/
  • https://www-03.ibm.com/press/us/en/pressrelease/50744.wss
 
CAREER GROWTH
Our goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:
 
  • Skill development: helping our employees grow their foundational skills
  • Finding the dream job at IBM: navigating our company with the potential for many careers by channeling an employees strengths and career aspirations
  • Diversity of people: Diversity of thought driving collective innovation
 
In 2015, Go Organic filled approximately 50% of our open positions with internal talent that were promoted into the role.


CORPORATE CITIZENSHIP
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!
  • http://www.ibm.com/ibm/responsibility/initiatives.html
  • http://www.ibm.com/ibm/responsibility/corporateservicecorps
State Farm
  • Dallas, TX

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.


Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.


Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus


Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ


Remote work option is not available.


There is no sponsorship for an employment visa for the position at this time.


Competencies desired:
Critical Thinking
Leadership
Initiative
Resourcefulness
Relationship Building
Grubhub
  • Philadelphia, PA

More About the Role:

Grubhub is looking for a experienced Director of Data Engineering to build and lead all our Data Warehouse and Data Pipeline efforts. You will be heading multiple teams of passionate and skilled database engineers responsible for building and owning batch and streaming data pipelines that process tens of terabytes of data daily and support all of the analytics, business intelligence, data science and reporting data needs across the organization.

Grubhub Big data platforms are cutting edge and built primarily around a few core technologies including AWS EMR, Hive, Cassandra, S3 and Redshift for data storage. Apache Spark, python and Scala for data processing, Presto query engine and Azkaban for workflow management. You will also be interacting with several other technologies in the ecosystem primarily from acquisitions, partners or affiliates including Mysql, Postgress, SQL Server, Salesforce etc.


The Director of Web Engineering is responsible for the overall planning, organizing, and execution of the consumer-facing web applications. This includes directing all engineering efforts to meet product requirements, support, monitoring, and iterative improvement of existing web applications, strategic development of new application solutions when necessary and the high-level architecture and detailed design on the implementation and delivery of web application components. The role requires proven experience in planning, designing, developing and deploying performant, scalable and resilient web application systems.


Some Challenges Youll Tackle :

  • Understand and manage the data needs of different stakeholders across multiple business verticals including Finance, Marketing, Logistics, Product etc. Develop the vision and map strategy to provide proactive solutions and enable stakeholders to extract insights and value from data.
  • Understand end to end data management interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions
  • Design best practices for big data processing, data modeling and warehouse development throughout the company. Design best practices for big data processing throughout the company
  • Translate from technical to business, and vice versa. You need to be able to speak with the least technically-minded client (internal or external) and make technology make sense to them. Then turn around and do it the other way
  • Evaluate new technologies and solutions to solve business problems

What's Actually Required:

  • 5+ years in a leadership/management capacity around data engineering, building data warehouse, data mart and data pipelines
  • Experience managing multiple stakeholders and managing team through multiple team leads
  • Experience with big data architectures and data modeling to efficiently process large volumes of data
  • Experience developing large data processing pipelines on Apache Spark.
  • Experience with Python or Scala programming languages
  • SQL is virtually as effortless as your native spoken language
  • Background in ETL and data processing, know how to transform data to meet business goals
  • Experience running agile projects
  • Excellent communication, adaptability and collaboration skills

 And Of Course, Perks! 

  • Flexible PTO. Its true, no strings attached and all the time you need to recharge.
  • PTO. Its true, we provide you a generous amount of time to recharge.
  • Better Benefits. Get quality insurance, flex-spending accounts, retirement options and commuter perks.  
  • Free Food. Kitchens are stocked and free Grubhub each week.
  • Stock Up. All of our employees are owners, in fact, theyre granted Restricted Stock Units, which means were all in it to win it.
  • Casual Culture. Catch rays on the rooftop or get comfy on a couch and get to know your coworkers because work, should be a place you want to be.

Grubhub is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. The EEO is the Law poster is available here: DOL Poster. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to talentacquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Blue Chip Talent
  • Ann Arbor, MI

Summary:
This position is part of the business intelligence team and will be responsible for projects including BI and Analytics but with a lot of opportunity to innovate by incorporating advanced capabilities of descriptive and predictive insights into BI Deliverables. As a dynamic and effective BI team member, you will liaise with business across all domains to understand their growing analytic data needs and develop and operationalize solutions with business impact. The ideal candidate will leverage their knowledge of business intelligence tools, statistical and data mining techniques, data warehouse and SQL to find innovative solutions utilizing data from multiple sources. We are looking for a strong team member who can communicate with the business as well as IT.

GENERAL RESPONSIBILITIES

  • Drive the utilization of new data sources for impactful business insights
  • Condense large data sets into clear and concise observations and recommendations
  • Design and develop BI/Analytics solution to facilitate end user experience and impact the business
  • Generate new ideas and execute on solutions
  • Demonstrate expert knowledge of at least one analytics tool
  • Understand and apply advanced techniques for data extraction, cleaning and preparation tasks
  • Understand dimensional modeling and data warehouse concepts
  • Able to clearly articulate findings and answers through effective data visualization approaches
  • Work with stakeholders to determine analytics data requirements and implement solutions to provide actionable business insight
  • Serve as a mentor for other team members
  • Perform BI on call duties
  • Regularly share best practices to help develop others
  • Able to effectively communicate with multiple stakeholders across the organization
  • Able to work in a team-oriented, collaborative, fast-paced and diverse environment
  • 5+ years of Experience with implementing and supporting BI/Analytics solutions
  • 5+ years of Experience with databases and querying language, particularly SQL
  • 3+ years of Experience with statistical tool such as R and SAS
  • 5+ years of experience delivering BI/DW solutions within an Agile construct
  • Experience working with large data sets; experience with distributed computing tools (Hadoop, Map/Reduce, Hive, Spark) and other emerging technologies is highly desired
  • Familiarity with statistical methods used in descriptive and inferential statistics
  •  Knowledge of statistical modeling and machine learning is preferable
  • Fluency with programming language such as Python
Booster Fuels
  • Dallas, TX

About Booster

Do you want to impact the lives of nearly all Americans by eliminating the errand of going to the gas station? Do you want to impact the lives of everyone by eliminating the errand of going to the gas station? Booster has redesigned the infrastructure to deliver gas and replaced the gas station with an app. Our technology and operational expertise enable Booster to deliver fresh gas at the same price as traditional gas stations. This is a difficult problem to master and we are making it happen. Every day, we solve incredibly hard problems to create an experience for our customers that is absolutely magical.


Booster is powered by data. We are creating the best way for consumers and businesses to get gas by applying data, algorithms and machine learning to problems in logistics, retail, personalization, pricing and more.


Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? If so, this is the job for you.


About the Role

The Booster Operations Team is looking for a passionate and solution-oriented Operations Data Analyst to develop and implement analytical solutions that deepen our collective understanding of customers, influence innovation, and deliver actionable insights to accelerate the growth and efficiency of Booster operations.


This position requires a deep quantitative domain expertise along with the ability to manage internal and external stakeholder teams. You will be responsible for delivering key insights to the operations team, the development of core KPIs and metrics, partnering to design optimized schedules and routes, balancing supply and demand, and analyzing and providing guidance on process stability and quality, with a keen focus on data quality and completeness.


You must be passionate about and undaunted by an operations engine with trucks, drivers, complex supply chains, and rapid growth. Successful candidates will be entrepreneurial, discontent with the status-quo and obsessed with improving anything they touch.


What You Will Be Doing

  • Delight customers

  • Work on a dynamic and constantly changing delivery platform

  • Ensure customer orders are planned efficiently and delivered on time

  • Come up with scalable solutions to continuously evolving logistics problems

  • Build predictive models

  • Forecast supply and demand

  • Optimize delivery network and dispatch operations

  • Forecast consumer demand

  • Estimated time of arrival

  • Partner with Operations and Technology leaders to build data-centric solutions to business impact

  • Help us realize a data-informed culture and teach people how to Think Like A Scientist

  • Find other exciting problems to solve


Requirements

  • Bachelor's degree or higher in Operations Research, Applied Mathematics or a related field

  • Comfortable with research methodologies to address abstract business and product problems with utmost precision, while staying grounded in common sense. Makes complex problems simple.

  • 4+ years of strong quantitative industry experience (2+ years with a PhD)

  • Expertise in mathematical optimization and implementing tailored solution approaches

  • Experience in data mining, predictive modeling and statistical analysis

  • Solid common sense and business acumen

  • Writing production applications using Python, R, and SQL

  • Superior analytical skills and a strong sense of ownership in your work

  • Self-motivated drive to build, launch and iterate on products

  • Comfortable giving definition to ambiguous problems, can do this independently with limited guidance


Benefits

  • Stay healthy: 100% employer paid medical, dental, vision, disability and life insurance coverage

  • Refuel: open vacation policy, take the time you need when you need it

  • Monthly team building events (yoga, safari adventures, wine blending, paint nights and bocce tournaments to name a few)

  • Early Stock Options at a fast-growing startup with a strong VC backing


Individuals seeking employment at Booster are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws.


Booster does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.


Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates 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


Booster doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Booster.

DTTS
  • Nashville, TN
Deloitte Transactions and Business Analytics LLP advises clients on managing business controversy and conflict, executing deals, and maintaining regulatory compliance. We provide services to companies throughout their lifecycle from purchasing a company to investigating potential fraud.

 

In 2008, Deloitte Transactions and Business Analytics LLP (DTBA) opened a new facility in Nashville, TN for e-discovery and computer forensics work.  DTBA's E-Discovery Solutions Center ("EDSC") continues to increase the capacity, quality, and efficiency of DTBA' s e-file processing by utilizing state-of-the-art technology in a dedicated environment. We are looking for dedicated individuals to join DTBA's Analytic & Forensic Technology practice and help drive the success of the EDSC.

 

The EDSC is a 24x7, 365 days a year operation.  The position is located in Nashville, Tennessee. Our operators perform the work as well as quality check points. Typically, each team has a 1st, second and weekend shift representative

Work youll do:

* Utilize EDSC eDiscovery applications and internal systems following documented processes and procedures
* Processes data for loading into hosted review databases
* Identify and escalate issues as encountered
* Validate data throughout processes and update processing group documents
* Assist the processing team with identifying areas for documentation and recommend improvements.
* Perform quality checks per documented processes
* Prepare client data deliverables
* Work flexible schedules to meet project deadlines
 

Qualifications:

* Bachelors Degree  preferred or commensurate work experience
* 1+ years of related E-Discovery experience
* Experience with one or more of the following preferred: SQL, SQL+, Visual Basic/VBSCRIPT, MS-Access, C++, C#,XML, Java, ASP, Windows
* Excellent verbal and written communication skills
* Working knowledge of basic PC functions and Windows environment (e.g. MS Office)
* General knowledge of databases, networking, and systems concepts
* Experience with both traditional (Term and Boolean) as well as concept-based search tools and technologies
* Hands on experience with several ESI data processing platforms (e.g. Clearwell, eCapture, etc.)
* Intermediate knowledge of several ESI data hosting platforms (e.g. Concordance, Relativity, Clearwell, etc.)
 

The Team

In todays global marketplace, organizations can become vulnerable to critical incidents that include international corruption, financial crime, enterprise fraud, cybercrime and supply chain breakdowns. Utilizing market-leading technology to uncover latent possibilities, our team advises clients on ways to mitigate exposure to these threats and turn business issues into opportunities for growth, resilience and long-term advantage. Learn more about Deloitte Advisorys Forensics and Investigations practice.

 

How youll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world.  From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career.  Explore Deloitte University, The Leadership Center.

 

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

 

Deloittes culture

Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives.  Learn more about Life at Deloitte.

 

Corporate citizenship

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities.  We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.  Learn more about Deloittes impact on the world.

 

Recruiter tips

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area youre applying to. Check out recruiting tips from Deloitte professionals.

 

 

Tinamica, S.L.
  • Madrid, Spain

Quieres trabajar en una empresa innovadora, dinámica y especializada en Big Data, Analytics, Inteligencia Artificial y BI?

No te pierdas lo que OFRECEMOS:

- Proyectos innovadores donde poder aportar y desarrollar tus conocimientos.

- Estabilidad profesional.

- Formación gratuita en una de las mejores Instituciones de Madrid.

- Trabajar con grandes profesionales que compartan la pasión por la tecnología.

- Trabajar en clientes de primer nivel en diferentes sectores.

- Ambiente laboral inmejorable.

- Salario atractivo y revisable en función del desarrollo profesional.

- Programa de mentoring para optimizar la adquisición de habilidades y conocimientos.

- Contrato indefinido.

- Estar informado de las últimas novedades del Smart Data (asistencia eventos, meetup, etc.).

- Seguro Médico gratuito.

- 26 días de vacaciones al año.

- Salario adaptable a las necesidades (cheques guardería, tickets restaurant, etc.)

- Instalaciones modernas, divertidas y confortables (futbolín/dardos, desayunos...).

SELECCIONAMOS DESARROLLADORES especializados en BIG DATA (Scala, Spark, Flume, HBase, Kafka...) con experiencia de al menos 2 años en proyectos reales y con el manejo del siguiente entorno tecnológico y herramientas:

- Plataformas ecosistema Hadoop (HortonWorks/Cloudera).

- Desarrollo/programación con Scala.

- Sistemas computacionales Apache Spark/Storm.

- Bases de Datos in-Memory: Bases de Datos no-sql, streaming programming.

- Procesamiento distribuido de datos en tiempo real.

- Componentes de Google.

- Valorable: experiencia en Metodologías Agile (Scrum).

Si te gusta lo que lees, eres una persona apasionada de este sector, con ganas de seguir creciendo y desarrollarte en el mundo de Big Data, Analytics y BI, esta es tu oportunidad, no lo dudes más y ¡únete a nuestro equipo!

Intercontinental Exchange
  • Atlanta, GA
Job Purpose
The Data Analytics team is seeing a dynamic, self-motivated Data Scientist, who is able to work independently on data analysis, datamining, report development and customer requirement gathering.
Responsibilities
    • Applies data analysis and data modeling techniques, based upon a detailed understanding of the corporate information requirements, to establish, modify, or maintain data structures and their associated components
    • Participates in the development and maintenance of corporate data standards
    • Supports stakeholders and business users to define data and analytic requirements
    • Works with the business to identify additional internal and external data sources to bring into the data environment and mesh with existing data
    • Story board, create, ad publish standard reports, data visualizations, analysis and presentations
    • Develop and implement workflows using Alteryx and/or R
    • Develop and implement various operational and sales Tableau dashboards
Knowledge And Experience
    • Bachelors degree in statistics/engineering/math/quantitative analytics/economics/finance or a related quantitative discipline required
    • Masters in engineering/physics/statistics/economics/math/science preferred
    • 1+ years of experience with data science techniques and real-world application experience
    • 2+ years of experience supporting the development of analytics solutions leveraging tools like Tableau Desktop and Tableau Online
    • 1+ years of experience working with SQL, developing complex SQL queries, and leveraging SQL in Tableau
    • 1+ years of experience in Alteryx, and R coding
    • Deep understanding of Data Governance and Data Modeling
    • Ability to actualize requirements
    • Advanced written and oral communication skills with the ability to summarize findings and present in a clear, concise manner to peers, management, and others
Additional Information
    • Job Type Standard
    • Schedule Full-time
Coolblue
  • Rotterdam, Netherlands
As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.

Pros and cons

  • Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
  • Youre able to use the right tools for every job.
  • Your job starts with a problem and ends with you monitoring your own solution.
  • You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your challenge in this sprint is improving the weekly sales forecasting models for the Christmas period. Your cross-validation strategy is ready, but before you can begin, you have to query the data from our systems and process them in a way that allows you to view the situation with clarity.

First, you have a meeting with Matthias, whos worked on this problem before. During your meeting, you conclude that Christmas has a non-linear effect on sales.  Thats why you decide to experiment with a multiplicative XGBoost in addition to your Regularised-Regression model. You make a grid with various features and parameters for both models and analyze the effects of both approaches. You notice your Regression is overfitting, which means XGBoost isnt performing and the forecast isnt high enough, so you increase the regularization and appoint the Christmas features to XGBoost alone.

Nice! You improved the precision of the Christmas forecast with an average of 2%. This will only yield results once the algorithm has been implemented, so you start thinking about how you want to implement this.

Your specifications

  • You have at least 4 years of experience in a similar function.
  • You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
  • You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
  • You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
  • You're highly knowledgeable about Python.
  • You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

  • Money.
  • Travel allowance and a retirement plan.
  • 25 leave days. As long as you promise to come back.
  • A discount on all our products.
  • A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
  • A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.

Review



'I believe I'm working in a great team of enthusiastic and smart people, with a good mix of juniors and seniors. The projects that we work on are very interesting and diverse, think of marketing, pricing and recommender systems. For each project we try to use the latest research and machine learning techniques in order to create the best solutions. I like that we are involved in the projects start to end, from researching the problem to experimenting, to putting it in production, and to creating the monitoring dashboards and delivering the outputs on a daily basis to our stakeholders. The work environment is open, relaxed and especially fun'
- Cheryl Zandvliet, Data Scientist
Railinc
  • Headquarters: Cary, NC URL: h
Headquarters: Cary, NC URL: https://www.railinc.com/rportal/web/guest/home [https://www.railinc.com/rportal/web/guest/home] Primary Accountability/Responsibility: Responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, data mining, machine learning, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences. This role is also able to recommend the most effective data science approaches for various challenges and will be able to implement these approaches independently without guidance as well as guide other data scientists in their efforts. Additionally, the lead data scientist will be able to manage data science teams and help drive the organization’s technology vision, be up to date with the state of technology, and help ensure the organization makes forward-looking strategic decisions in its data science approach. Job AccountabilityResponsibilitiesKey MeasuresEssential Functions • 35%: Conduct analytical research, develop prototypes and contribute to production-ready solutions. Business domains include but are not limited to:o Fleet Utilization for Railroads and Equipment Ownerso Miles & time between car repair incidentso Railroad yard traffic predictionso Predictive modeling of maintenance, ETAs, etc.o Internal measurement developmento Data quality evaluationso Data enrichmento Prototype reports to be included in production systems • 35%: Deliver analytical projects by:o Working with project managers to define schedule and deliver results to all customers and internal stakeholders and managing expectationso Collaborating with IT resources to develop and optimize production solutionso Creating and documenting repeatable solutions for meeting ongoing customer needso Communicating the results and methodology to internal and external stakeholders • 20%: Drive the organization’s data science and technology vision through research on the state of the art in data science technologies to ensure forward-thinking strategic decisions and recommendations • 10%: Gather, interpret, and translate customer needs into business problems that can be solved via advanced analytics methodologies by:o Working with business stakeholders and/or facilitate data analysis opportunity discussionso Leading solution analysis, definition, and requirements gathering for data serviceso Prioritizing data analysis using rail industry priorities & business cases • Collaborate with other data scientists to drive data analysis methodology, repeatable and structured • Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions • Takes the lead on analytical projects, and may lead the projects of other data scientists and analytical consultants • Work with manager to finalize priority and deadlines, and adjust & communicate as necessary • Customer feedback and delivery against commitments Non-Essential Functions • Support and improve internal decision making • Develop measurement dashboards • Conduct and report industry trend and market analysis to meet industry needs • Performs other duties as assigned • Customer feedback and delivery against commitmentsSuccess Factors: • Knowledge/Skills/Abilities Minimum Requirements • Superior analytical skills with working knowledge of basic statistical, predictive and optimization models • Experience in leading and managing data science teams • Strong programming proficiency and working experience (10+years) in a subset of Python, R, Scala, Java (Python preferred) • Strong proficiency and experience (10+ years) with data science and machine learning software stacks, e.g. NumPy, Pandas, SK-learn for Python • Programming proficiency in Spark and MLlib (3+ years) • Working experience with and understanding of large-scale data analysis systems, e.g. Hadoop or MPP databases (5+ years) • Proficiency and experience with SQL (10+ years) • Significant experience (10+ years) implementing machine learning and data science models, including through production • Strong theoretical and practical knowledge of machine learning models and algorithms (unsupervised and supervised), their use in applications, and their advantages and disadvantages • Strong knowledge of code-based data visualization tools (e.g. matplotlib) for data exploration and to present models and results to internal and external stakeholders • Experience with cloud-based systems and toolsets (3+ years) • Experience and understanding of experiment design and evaluation • Knowledge of big data engineering toolsets a plus • Superior data preparation skills; be able to access, transform and manipulate Railinc and external customer data in its base form • Superior problem-solving skills • Entrepreneurial mindset and business understanding • Up to date with the state of the art in the data science technology and related infrastructure and services space • Strong team management and leadership skills • Strong verbal and written communication skills • Ability to work effectively with clients, IT management, business management, project managers, and IT staff • Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible • Ability to work independently and jointly in unstructured environments in a self-directed way • Ability to take a leadership role on engagements and with customers • Strong teamwork skills and ability to work effectively with multiple internal customersAdditional Requirements: • Education • Experience • Certifications • Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research, business, economics) • A minimum of 10 years related work experience • Strong statistical analysis and methodology experience • Experience with analytics tools and big data platforms • Experience with business intelligence and analyticsPhysical RequirementsList physical activities and requirements, including but not limited to: • Sedentary work: assignment involves sitting at workstation (desk) most of the time (up to 8 hours) with only occasional walking and/or standing • Keyboarding: Primarily using fingers for typing • Talking: Expressing or communicating verbally through use of spoken words (accurately conveying detailed or important spoken instructions to others) • Hearing: Ability to receive detailed information through oral communication and to make discriminations in sound. • Visual: Through close visual acuity, required to perform activities such as: preparing and analyzing data and figures; transcribing; viewing computer terminal; extensive reading (with or without correction) • Environment: work is performed within an office setting and therefore no substantial exposure to adverse environmental conditions (i.e. extreme heat, cold, noise, etc.). Customer visits may be done at railroad facilities, which would require appropriate safety equipment. • Travel: Some travel may be required (up to 25%).To apply: https://recruiting.ultipro.com/RAI1006RLNC/JobBoard/d0e5b848-54f5-44c4-8878-c03cf9954c79/OpportunityDetail?opportunityId=0bf87568-7bb1-4013-97e8-cc3e72cf8194 [https://recruiting.ultipro.com/RAI1006RLNC/JobBoard/d0e5b848-54f5-44c4-8878-c03cf9954c79/OpportunityDetail?opportunityId=0bf87568-7bb1-4013-97e8-cc3e72cf8194]
NESC Staffing Corp.
  • Houston, TX

HOURS OF WORK - 8 hours minimum with flexible start before 9:00 AM

Description


NESC is seeking an experienced Data Modeler to assist in building and supporting RigSystems & Aftermarket's Data Warehouse. This resource will be responsible for separating different types of data into structures that can be easily processed by various systems. This resource will also focus on a variety of issues, such as enhancing data migration from one system to another and eliminating data redundancy. Duties and responsibilities include:

Understand and translate business needs into data models supporting long-term solutions.

Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.

Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.

Optimize and update logical and physical data models to support new and existing projects.

Maintain conceptual, logical and physical data models along with corresponding metadata.

Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.

Recommend opportunities for reuse of data models in new environments.

Perform reverse engineering of physical data models from databases and SQL scripts.

Evaluate data models and physical databases for variances and discrepancies.

Validate business data objects for accuracy and completeness.

Analyze data-related system integration challenges and propose appropriate solutions.

Develop data models according to company standards.

Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, Performance requirements and interfaces.

Review modifications to existing software to improve efficiency and performance.

Examine new application design and recommend corrections if required.

Data modeling using ERWin tool (Work Group version)

Enterprise Data Warehouse modeling skill

Business Analysis Skill

Oracle Database Skill


EXPERIENCE/SKILLS: 


3+ years experience as a Data Modeler/Data Architect

Proficient in the use of data modeling tools; Eriwin proficiency is a must.

Experience in meta data management and data integration engines such as Biztalk or Informatica

Experience in supporting as well as implementing Oracle and SQL data infrastructures

Knowledge of the entire process behind software development including design and deployment (SOA knowledge and

experience is a bonus)

Expert analytical and problem-solving traits

Knowledge of the design, development and maintenance of various data models and their components

Understand BI tools and technologies as well as the optimization of underlying databases

Education:


BS in Computer Science or IT



IT Associates
  • Ann Arbor, MI

6+ Month Contract to Hire Position

Location - Ann Arbor, MI


Our client is looking to add a Lead BI Analyst that will be part of the business intelligence team and will be responsible for projects including BI and Analytics but with a lot of opportunity to innovate by incorporating advanced capabilities of descriptive and predictive insights into BI Deliverables. As a dynamic and effective BI team member, you will liaise with business across all domains to understand their growing analytic data needs and develop and operationalize solutions with business impact. The ideal candidate will leverage their knowledge of business intelligence tools, statistical and data mining techniques, data warehouse and SQL to find innovative solutions utilizing data from multiple sources. We are looking for a strong team member who can communicate with the business as well as IT.

GENERAL RESPONSIBILITIES

             Drive the utilization of new data sources for impactful business insights

            Condense large data sets into clear and concise observations and recommendations

            Design and develop BI/Analytics solution to facilitate end user experience and impact the business

            Generate new ideas and execute on solutions

            Demonstrate expert knowledge of at least one analytics tool

            Understand and apply advanced techniques for data extraction, cleaning and preparation tasks

            Understand dimensional modeling and data warehouse concepts

            Able to clearly articulate findings and answers through effective data visualization approaches

            Able to effectively communicate with multiple stakeholders across the organization

            Able to work in a team-oriented, collaborative, fast-paced and diverse environment

QUALIFICATIONS/REQUIREMENTS

            BS/MS degree in Computer Science, Applied Statistics or related field

            5+ years of Experience with implementing and supporting BI/Analytics solutions

            5+ years of Experience with databases and querying language, particularly SQL

            Experience with statistical tool such as R and SAS

            5+ years of experience delivering BI/DW solutions within an Agile construct

            Experience working with large data sets; experience with distributed computing tools (Hadoop, Map/Reduce, Hive, Spark) and other emerging technologies is highly desired

            Familiarity with statistical methods used in descriptive and inferential statistics

            Knowledge of statistical modeling and machine learning is preferable

            Fluency with programming language such as Python

            Must have the ability to work independently and with minimal supervision

Tech Finders
  • Phoenix, AZ

In this direct hire role, you will have the opportunity of a lifetime to join a very stable and highly sought- after company in the Phoenix area.


The Business Analyst will support Executive Leadership with strategic data-oriented, actionable insights and solutions related to their complex business involving large numbers of people, properties and digital assets. You will work on projects and see them implemented and how they affect the organization, within weeks!


Requirements:

  • Bachelor's degree in Engineering, Mathematical Sciences, Finance, Economics or related or equivalent experience is required.
  • Minimum of 3 years of progressive experience conducting operations, product, and financial analysis and developing insights using regression models and statistical analysis
  • Advanced proficiency in SQL - read and write queries
  • Advanced proficiency in Microsoft Office, including Word, Excel and PowerPoint
  • Domain knowledge in retail, manufacturing, store operations, automotive, real estate, or services is helpful
  • Experience with statistical tools or languages, such as R, SAS or Python
  • Experience with front-end reporting tools such as Microstrategy is preferred
  • Excellent quantitative and problem-solving skills are vital
  • Proficient in popular modeling tool sets for cluster analysis and advanced predictive modeling is required.
  • The ability to frame solutions to complex problems is crucial
  • Ability to communicate across all levels of the organization is necessary
  • Business acumen with knowledge and understanding of business issues, priorities, goals, and strategy is necessary
  • Must be a US citizen withour restrictions or the need of sponsorship. 


If you are looking to take the next step up in your career, send your resume to kelly@the-finders.com for more information and immediate consideration.

Packsize LLC
  • Salt Lake City, UT

Data Scientist


Job Overview:

Packsize has a large software and hardware platform that is used around the world every day generating large amounts of data.  We are looking for a Data Scientist to support our product, engineering, sales, leadership, and marketing teams with insights gained from analyzing company 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.  Our customers rely on data we generate to affect their business decisions.

 
What Youll Do:

Working with product and R&D leadership you will identify opportunities for leveraging company data to affect important business decisions, objectives, and priorities.  You will need to gather and use complex data sets across domains using a range of data science methodologies combined with subject matter expertise. You will deliver artifacts on projects, define methodology, and own the analysis.  Solutions are testable, reproducible, and clearly communicated to technical and non-technical audiences.


Your analysis will drive the optimization and improvement of product development.  Additionally, you will assess the effectiveness and accuracy of new data sources and data gathering techniques, coordinate with cross-functional teams to implement models and monitor outcomes.  You know your influence with your team and peers will drive the success of Packsize.

 Qualifications:

  • Masters in Statistics, Mathematics, Computer Science with two years of experience or Bachelors with five years of experience.
  • Years of experience in R, Python, SQL, NoSQL.
  • Experience with Apache Spark, Hadoop, AWS
  • Proficiency in Data Visualization (matplotlib, ggplot, Tableau, etc.).
  • You have worked in a collaborative environment.
  • Diving into data to discover hidden patterns and conduction error/deviation analysis.
  • Knowledge of various machine learning techniques and key parameters that affect their performance.
  • Experience working with and developing experiments and analysis plans for data modeling and determining cause and effect relationships.
  • Experience working with and creating data architectures.
  • Knowledge of advanced statistical techniques and concepts such as confidence intervals, significance of error measurements, etc.
  • Excellent written and verbal communication for communicating with technical and non-technical audiences.
  • A drive to learn and master new technologies and techniques.
  • You innovate for your customer by being proactive in improvements and enhancements.
  • Are excited about solving hard problems, clearing ambiguity, and never settling.


 Competencies:

  •  Interpersonal Skills
  • Organizing
  • Problem Solving
  • Drive for Results
  • Time Management
  • Analytical Skills


 
Physical Demands and Working Conditions:

  • Typical office working conditions
  • The ability to sit for long periods
  • Travel 10%


 
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veterans status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

 

Lawrence Harvey
  • Austin, TX

Lawrence Harvey are recruiting for a top Data Engineer for one of the top Artificial Intelligence organizations in Austin. 


In this position as a Data Engineer will work on developing Machine Learning models and APIs for the companies AI Platform. Your will be involved in interaction with  multiple teams across the business to evolve their architecture as well as optime their data acquisition, selection, and pipeline.

Requirements: 


  • 5+ years of experience owning and building data pipelines
  • Extensive knowledge of data engineering tools, technologies and approaches for both batch and streaming environments
  • Proven experience building or extending data platforms from scratch for data consumption across a wide variety of use cases (e.g data science, ML, etc)
  • Experience with data transformations, API wrappers and output formats used with Machine Learning
  • Ability to absorb business problems and understand how to service required data needs
  • Demonstrated ability to build complex, scalable systems with high quality
  • Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and Columnar databases
  • Experience in one or more of Java, Scala, and Python
  • Experience with serverless technologies a plus (e.g. AWS Lambda)
  • Hands-on, in-depth experience with AWS or other cloud infrastructure technologies