Senior, Data Scientist - Performance Measurement & Insights

Walmart • Bentonville, AR

1d • $90,000 - $180,000

About The Position

At Sam’s Club, we are member obsessed. We look to add value to Sam’s Club membership, and we partner with suppliers to bring unique and exciting values to our members. Sam’s Club Member Access Platform (MAP) is the nexus of the Supplier -Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with measurable insights. Why the MAP MINDS Team? The MAP Measurement, Insights and Data Strategy (MINDS) team is part of the Sam’s Club Member & Insights Center of Excellence org that is dedicated to supporting the retail media MAP business unit. It is comprised of two key workstreams - Performance Measurement & Insights team and Media Science & Experimentation team. MAP MINDS plays a critical role in MAP’s accelerated growth by bringing the power of 1st party deterministic membership data and advanced data science and innovative measurement approaches together to offer trusted data and insights to MAP advertisers and MAP internal teams. What you'll do... Business Measurement & Reporting Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders Partner cross-functionally to identify automation opportunities and improve reporting efficiency Analyze performance trends and translate findings into actionable insights Strategy & Analytics Support business case development and evaluate new initiatives through data-driven analysis Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement Contribute to experimentation design (A/B testing) and measurement frameworks Build quick automaton tools to drive quick data synthesis Work with product on robust data analytical asks Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights. Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations. Operate independently as the go-to analytics expert for day-to-day business needs. This role requires strong stakeholder management, comfort with ambiguity, attention to detail, and the ability to operate in a fast-paced, entrepreneurial environment. As a staff data scientist, you will uphold high technical standards, deliver consistently, and lead by example.

Requirements

• Minimum 2+ years of experience in data science
• Strong executive presence and communication skills, with the ability to adapt messaging for different audiences
• Strong SQL skills and proficiency in Python (PySpark preferred)
• Experience with large data sets and cloud-based data platforms
• Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
• Exposure to experimentation, A/B testing, or performance measurement frameworks
• Ability to translate business problems into analytical approaches
• Strong communication skills and ability to work with cross-functional teams
• Proven ability to manage multiple priorities independently in a cross-functional environment
• Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)
• Experience in retail media, advertising, or ad tech is a plus
• MS (or equivalent experience) in Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field
• Strong knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
• Experience working cross-functionally with product and technical teams
• Familiarity with machine learning libraries and big data tools (e.g., Spark)
• Sound knowledge of Ad tech and prior Retail Media working knowledge is a plus
• Comfort working in a fast-paced, evolving environment
• Comfortable with ambiguity and thrive in an environment with rapid change
• Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• Option 3 - 5 years' experience in an analytics or related field.

Nice To Haves

• Data science, machine learning, optimization models
• Master’s degree 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
• Using open source frameworks (for example, scikit learn, tensorflow, torch)
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders
• Partner cross-functionally to identify automation opportunities and improve reporting efficiency
• Analyze performance trends and translate findings into actionable insights
• Support business case development and evaluate new initiatives through data-driven analysis
• Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement
• Contribute to experimentation design (A/B testing) and measurement frameworks
• Build quick automaton tools to drive quick data synthesis
• Work with product on robust data analytical asks
• Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights.
• Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations.
• Operate independently as the go-to analytics expert for day-to-day business needs.

Benefits

• At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
• -Health benefits include medical, vision and dental coverage
• -Financial benefits include 401(k), stock purchase and company-paid life insurance
• -Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices.
• - Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.
• The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees