Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects.
Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence.
Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value.
Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams.
Design and analyze experiments to guide product decisions and optimize feature launches.
Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.
Requirements
5–7 years of experience as a Data Scientist or in a related analytics or data-focused role
Strong track record of turning complex data into strategic insights and measurable business impact
Proven ability to use experimentation, advanced analytics, and data storytelling to uncover opportunities that drive key product and business outcomes
Strong technical foundation in SQL and Python for large-scale analysis, data modeling, and ML prototyping
Experience developing and maintaining data pipelines and metrics frameworks using tools such as Airflow and dbt
Background working with complex backend systems, ensuring data integrity, scalability, and operational reliability across platforms
Skilled at partnering cross-functionally with product, engineering, and business teams to influence prioritization and strategy through clear, data-driven communication
Benefits
Comprehensive benefit plan, including medical, dental, vision, and 401(k).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata modelingmachine learningSQLPythondata storytellingexperimentationadvanced analyticsmetrics frameworksdata pipelines