Principal Data Scientist (Sam's Club)

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, TensorFlow, Scikit-learn, R Programming, SPARK Programming

Job Description

Position Summary...

What you'll do...

Position Summary…

This position will support new program/product innovation, cross-functional strategic decision making, and provide methodology consultation and development at Sam’s Club.

What you will do…..

Technical Leadership: 70% individual projects and 30% on elevating the team productivity and state-of-art data science development. Lead portfolios of data science projects; serve as a subject matter expert on statistical analysis, causal and predicative modeling, and economics related topics; assess feasibility of applying scientific concepts to business problems; mentor junior data scientists and drive technical development and innovation.

Data Source identification: Define data requirements to solve business problems / develop data solution, across all different types of data that can address business, including but not limited to: business operation data, member profile, member / consumer behavior, member listening / feedback, 3rd party data, source from both brick-and-mortar and digital business / systems. Direct usage of appropriate internal and external data sources based on business and technical requirements. Define data quality guideline and align data governance.

Analytic solution / business insights development: Create, modify, adopt new or existing analytic solutions / insights to solve business problem / address business need. Assemble or influence required resources, whether they are within his/her control or in other teams, to develop analytic / data solutions and / or to analyze / manipulate data. Analytic solutions include but not limited to analytic modeling, analytic algorithm, data visualization, scorecard, dashboard, adhoc analysis.

Business Thought Partnership: provide thought leadership and counsel to stakeholders in exploring possible data solutions to address business questions and business needs. Define problem statement. Translate business requirements into data / analytic strategies, initiatives and projects, align them to business team’s strategy and objectives. Synthesize data from different sources, provide actionable business insights and / or analytic solution to stakeholders.

Competencies….

• Critical Thinking: Excellent in dismantling business problem/ question, complex or simple, into required information / analysis and action that can address the problem / question.
• Business Acumen: Has strong business mindset, understand how business is operated, how business decision is made in the business area that this role supports. Think like a business owner running the business when deriving actionable insights / recommendation from analytic solutions / data.
• Tech Skills: Expert knowledge on quantitative analysis; extensive experience with SQL and data manipulation/modeling in Python or R; deep understanding of probability, statistical analysis, and causal inference; production or non-production level experience on machine learning modeling.
• Communication Skills: Ability to turn scientific insights into data storytelling to impact business partners decision making; effective communication when working with cross-functional teams.

Travel…

Travel could be required from time to time to support business activities

Minimum qualification….

• PhD in statistics, economics, analytics, mathematics, quantitative marketing, or related field 
• 5+ years’ experience in analytic modeling, with minimum 3 years in working with large data sets
• Successful completion of assessments in Python/R

Preferred qualification….

• Successful completion of assessments in SQL
• Experience in field experiments, quasi-experiment analysis, causal inference, business and policy analysis;
• Experience in modeling and solving ambiguous business problems under tight timelines;
• Savvy to navigate through a large and complex corporate environment.
• Having a growth mindset: “Stay hungry. Stay foolish. ”

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)