(USA) Data Scientist III

About the role

We are looking for a passionate, creative Senior Data Analyst to join the Inkiru Data Science team at Walmart Global Tech. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.

What you'll do

• Partner strategically with product development and business teams, delivering insights and recommendations of fraud trends and patterns through effective data storytelling and visualization.
• Analyze high-dimensional, fast-moving real-time datasets to identify trends, anomalies, and opportunities for fraud detection.
• Build and maintain dashboards and reports to monitor key business metrics and share insights with stakeholders.
• Ensure data quality and integrity through rigorous validation and documentation.
• Research and apply new analytical methods, tools, and techniques to solve complex business problems.

Requirements

• Technical expertise in data analysis, statistical methods, and data visualization.
• Strong knowledge of data modeling and data engineering best practices.
• Proficiency in SQL and data analysis packages in Python or R.
• Experience working with large datasets and distributed computing tools (BigQuery, Hive, or Spark).
• Bachelor’s degree in a STEM or related field plus three years of related experience or Master’s degree in a STEM or related field plus one year of related experience.
• Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) is preferred.
• Strong communication skills with the ability to present complex findings to both technical and non-technical audiences.

Qualifications

• Outlined below are the required minimum qualifications for this position.
• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Option 3: 4 years' experience in an analytics or related field.
• Outlined below are the optional preferred qualifications for this position.
• 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.

Skills

• Technical expertise in data analysis, statistical methods, and data visualization.
• Strong knowledge of data modeling and data engineering best practices.
• Proficiency in SQL and data analysis packages in Python or R.
• Experience working with large datasets and distributed computing tools (BigQuery, Hive, or Spark).
• Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) is preferred.
• Strong communication skills with the ability to present complex findings to both technical and non-technical audiences.

Benefits

• 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.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Pay

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).

Schedule

This position offers a flexible, hybrid work schedule with primary in-office presence coupled with an optimal mix of virtual presence.