(USA) Senior Manager, Data Science

Description

The company+ data strategy and analytics team turns complex data into insights that grow membership. It works across acquisition, engagement and benefit design, partnering closely with business units on strategy and execution.

The team supports work from opportunity sizing and test design through post-launch evaluation, and values accountability and clear communication in delivering measurable results for the company+.

Responsibilities

• Lead the assessment, validation and tuning of advanced data science models so they are accurate, robust and relevant to the business.
• Oversee deployment of models into production and track their performance and scalability over time.
• Build visualization strategies with Python libraries and Tableau to communicate findings clearly.
• Work with cross-functional teams to turn business requirements into scalable data science solutions that match company goals.
• Guide and mentor team members on advanced modeling, feature engineering and data analysis practices.
• Lead exploratory data analysis and statistical modeling to surface trends that inform decisions.

Requirements

• Deep experience in data science, machine learning and advanced statistical modeling.
• Proficiency in Python, SQL and a visualization tool such as Matplotlib, Plotly, Tableau or PowerBI.
• Solid grasp of model assessment, validation and tuning methods that keep results accurate and robust.
• Skill at converting complex business needs into data science work aligned with strategy.
• Experience with exploratory analysis, feature engineering and running scalable models in production.
• Proven record of mentoring teams and guiding technical growth with an eye on business impact.
• Strong communication skills for presenting insights and winning stakeholder support.
• Minimum qualifications, any one of: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or a related field plus 5 years' experience in an analytics-related field; or a master's degree in one of those fields plus 3 years' experience in an analytics-related field; or 7 years' experience in analytics or a related field.
• Preferred qualifications: a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics or Econometrics; experience in data science, machine learning or optimization models; completion of one or more assessments in Python, Spark, Scala or R; supervisory experience; experience with open source frameworks such as scikit-learn, TensorFlow or PyTorch; a background in inclusive digital experiences, including WCAG 2.2 AA standards, assistive technologies and accessibility best practices, in line with the company's accessibility standards.

Conditions

Annual base salary range is $110,000.00 to $220,000.00.

Performance bonuses are paid annually or quarterly.

Stock may be offered for certain positions.

Primary location is 1601 SE 10th St, Bentonville, AR 72716, United States.

The company maintains a drug-free workplace with a zero-tolerance policy on illegal drugs and alcohol at work.

Benefits

• Competitive pay and performance bonuses.
• Health coverage: medical, vision and dental.
• Financial benefits: 401(k), stock purchase and company-paid life insurance.
• Paid time off: PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting.
• Other benefits: short-term and long-term disability, company discounts, Military Leave Pay, and adoption and surrogacy expense reimbursement.
• PTO and/or PPTO for vacation, sick leave, holidays or other uses, based on job classification and length of employment, meeting or exceeding paid sick leave laws where they apply.
• Live Better U: the company-paid tuition, books and fees for education from high school completion through bachelor's degrees, English Language Learning and short certificates, for eligible full-time and part-time associates in the company and Sam's Club facilities.
• Some benefits have eligibility rules and may be subject to plan terms, which can change.