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
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:
complex business requirements, business goals, and drivers and drive solutions aligning to SHC technology strategy.
source programs including but not limited to Python and R.
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
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
related degree with emphasis in quantitative methods preferred