Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
About the role
- Principal Product Data Analyst at Adobe focusing on product analytics and decision support. Integrating data products that enhance user experience and drive product innovation.
Responsibilities
- Own measurement and instrumentation for key product journeys (activation → engagement → retention → monetization)
- Lead deep-dive analyses (funnels, cohorts, segmentation, lifecycle, causal inference where appropriate) to identify opportunities, quantify impact, and recommend product changes
- Design and analyze experiments (A/B, holdouts, quasi-experimental methods) and ensure learnings translate into roadmap decisions
- Build dashboards and reporting frameworks that enable leaders and teams to self-serve insights and move faster
- Partner with engineering and data teams to translate product/business questions into clear requirements for data products, features, and enhancements
- Improve data quality and trust (definition alignment, anomaly detection, reconciliation, lineage awareness) so metrics are reliable in exec and operational workflows
Requirements
- 8+ years in product analytics, data science, growth analytics, or applied analytics roles
- Expert-level SQL and strong proficiency in Python (or R) for analysis and modeling
- Experience building analytics solutions on modern data platforms (e.g., Databricks/Spark, Amplitude, Looker, and common BI tools)
- Proven ability to convert ambiguous questions into technical specs + analytical answers , with excellent requirements writing and stakeholder alignment
- Strong product intuition: you understand user behavior, product levers, and how teams make tradeoffs under uncertainty
- Outstanding communication and influence skills—able to drive decisions with data.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Professional development opportunities
- Flexible work hours
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