(USA) Director, Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

This position will support new program/product innovation, cross-functional strategic decision making, and lead a central data science team to provide methodology consultation and development at Sam’s Club.

What you will do…..

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.

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.

Technical leadership for analytic community: Develop expertise of the data domains that are owned and / or related to the business function that this role supports. Train and coach analytic staffs in mastering technical knowledge of the respective data domains to deliver analytic solutions / insights for business stakeholders.

Coaching and developing high-performance team: Train, develop and coach staffs on technical and professional skills. Conduct on-the-job training for staffs. Guide and coach staffs on career development. Perform other duties required for people manager.

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.

People Leadership: Has track record of being good coach in helping other develop professional skills on the job.

Tech Skills: experience of quantitative analysis; experience with SQL and data manipulation/modeling in Python or R; deep understanding of probability, statistical analysis, and causal inference; work knowledge of machine learning.

Communication Skills: Has experience in communicating and presenting results of analysis to senior leadership; track record of working with cross functional teams and delivering impact.

Travel…

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

Minimum qualification….

• Option 1: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field and 7 years’ experience in analytics related field. Option 2: PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field and 5 years’ experience in analytics related field
• 5 years’ experience in analytic modeling, with minimum 3 years in working with big data
• 3 years’ experience of supervising analytic professionals
• Successful completion of assessments in Python/R and SQL

Preferred qualification….

• Experience in field experiments and quasi-experiment analysis;
• Experience in modeling and solving ambiguous problems;
• Savvy to navigate through a large and complex corporate environment.

Minimum Qualifications...

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

As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)