Data Scientist (Innovel)

Sears Hoffman Estates , IL 60179

Posted 2 months ago

Job Description: Req/Job ID: 973874BR

Employing Entity: Transform SR LLC

Employment Category: Regular, Full-time

Job Function: Supply Chain Management

Store ID: 58491: Sears Holdings Management Corp

JOB SUMMARY:

The Data Scientist I is responsible for developing, maintaining and enhancing statistical models and algorithms to create strategic

business opportunities across the organization. This position is constantly challenged to tap into advanced mathematical and

statistical techniques to develop optimal solutions. This position is expected to communicate complex concepts clearly.

Job Requirements JOB DUTIES/RESPONSIBILITIES:

  • Produces concise conclusions from raw data in a clean, well-structured and easily maintainable format as well as understand

complex business requirements, business goals, and drivers and drive solutions aligning to SHC technology strategy.

  • Designs, implements and automates modeling and analysis procedures on existing and experimentally created data using open

source programs including but not limited to Python and R.

  • Provides leadership in developing robust solutions for Analytics, Predictive Analytics, Pattern Recognition, Data Mining, Reporting,

Web Analytics, and Metadata Management.

  • Establishes reporting and tracking to continuously monitor and report out impact

  • Increases pace and confidence of learning by combining state of the art technology and statistical methods (parametric and nonparametric

econometrics and machine learning); provides expertise in integrating advanced analytics into ongoing business

processes (combine data mining techniques with structure approaches to avoid spurious correlations). Maintains awareness of

modeling and analytics best practices from a wide range of industries

JOB REQUIREMENTS:

  • Bachelors Degree
  • 1-2 years of related experience
  • 18 years of age or older

REQUIRED SKILLS:

  • Bachelor's Degree or higher in Mathematics, Statistics or related Disciplines

  • Ability to build statistical Models in either R or Python

  • Ability to write Database queries in SQL

  • Knowledge of various programming software and languages such as, but not limited to R, Stata, Matlab, Python, SQL, and Excel

  • Familiarity with version control, especially Git

  • Experience in Hadoop-based data tools and languages (e.g. Mahout, Hive, Pig) a plus.

  • Sound technical and analytical skills, concise and clean analytic graphics

  • Desire and willingness to work in a collaborative, innovative, flexible and team-oriented environment, welcoming push back on

conclusions and inferences

PREFERRED SKILLS:

  • MS/PhD. degree in Statistics, Mathematics, Physics, Operations Research, CS, Econometrics strongly preferred, or equivalent/

related degree with emphasis in quantitative methods preferred

  • Experience with AWS Databases (Redshift, RDS e.g.) and tools is a plus.

#Corporate
58491


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Sr Data Scientist

General Electric

Posted 1 week ago

VIEW JOBS 6/10/2019 12:00:00 AM 2019-09-08T00:00 Role Summary:Sr Data Scientist position will be working on building data science based analytics in customer backed solutions. One of the initial programs would be the Wall of Analytics. This position will be responsible for participating in all aspects of data science tasks required for synthesizing data, reporting insights, designing and implementing analytical solutions. She/he will work independently and contribute to the immediate team and to other teams across business. Essential Responsibilities: Build an understanding of the business needs that enables the team to identify data needs and address critical data issues. Identify data analysis and visualization needs. Process, analyze and synthesize customer data from multiple sources. Explore data and discover patterns, meaningful relationships, anomalies, and trends. Store structured analytical information in data-warehouse and ensure information is cataloged and easily available to users for direct consumption or integration with analytical systems. Research methodology, tools and frameworks for data analytics. Assist team members and stake holders to deliver value added solutions through advanced analytics and modeling techniques. Write good quality reports and presentations on analytical projects. Collaborate with internal and external customers on all stages of the analytical project. Interact with data scientists, present technical ideas, seek feedback and participate in technical design with other members of the project team. Engage in technical discussions; participate in technical designs and present technical ideas. Be an expert in core analytical structures as well as advanced analytic algorithms and implement them using language of choice. Maintain code quality through best practices, unit testing and code quality automation. Demonstrate the understanding of Agile software development lifecycle and be able to distinguish the core inputs and outputs in each cycle. Identify the scope of the work, provide initial estimate and justify the estimate with facts. Capture analytical system requirements by brainstorming with Architects/Product Managers. Demonstrate the ability to make informed technology choices after due diligence and impact assessment. Location: 2800 West Higgins Road Hoffman Estates IL 60169 Qualifications/Requirements: Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) OR PhD. in a "STEM" major (Science, Technology, Engineering, Mathematics) Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets Eligibility Requirements: Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills. Must be willing to work out of an office located in Hoffman Estates, IL Desired Characteristics: Good knowledge of medical datasets and predictive analytics in healthcare domain Experience with Apache Spark and Storm technologies Experience with n-tier, SaaS or cloud based products Experience using tools like Eclipse, Intellij Strong understanding of relational database structures, principles and practices with ability to write SQL queries Passionate about data and working through complex details of data collection, processing and transformations Must understand how data is turned into information to enable key business process. Experience creating analytical datasets A strong mathematical foundation, excellent analytical capabilities with experience in a range of machine learning techniques Creative Problem solver and Open to learning new technologies Excellent Analytical and Problem solving skills Work collaboratively as part of a self-organizing scrum team with minimal supervision Participate in testing efforts as needed Excellent communication and Interpersonal skills About Us: GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE's mission and deliver for our customers. www.ge.com GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law. Additional Eligibility Qualifications:GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).Additional Locations:United States;Illinois;Hoffman Estates; General Electric Hoffman Estates IL

Data Scientist (Innovel)

Sears