Consumer Product Data Scientist

Role overview Senior data scientist embedded with a highly visible online consumer product, using the Databricks platform to turn large, complex datasets into actionable insights. The role emphasizes consumer and retail analytics, statistical rigor, and the integration of AI-driven solutions into the analytics workflow.

Responsibilities - Analyze complex datasets to surface trends, anomalies, and meaningful patterns for the product team. - Apply statistical tests and models to validate hypotheses and identify significant drivers of customer retention and churn. - Build and maintain analytics and dashboards within Databricks to support client decision-making. - Design and execute big data collection, cleaning, and exploratory analysis workflows. - Develop anomaly detection and relationship analyses using statistical methods and visualization techniques. - Incorporate AI-driven solutions into analytics projects to enhance insight generation. - Communicate findings with quantifiable success metrics tied to business outcomes.

Requirements - U.S. citizenship and Public Trust eligibility. - 10+ years of experience in data analytics driving impactful insights and solutions. - Hands-on experience working within the Databricks environment. - Hands-on experience developing and maintaining analytics and dashboards that inform decision-making. - Demonstrated background in consumer research and retail analytics. - Track record of successful outcomes backed by quantifiable metrics.

Nice to have - Experience integrating AI-driven solutions into analytics projects.