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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in decision science and product data analytics, with a strong focus on causal inference methods, statistical analysis, and data-driven decision-making. Proficient in translating complex analytical findings into actionable insights and recommendations.
Highest-signal resume keywords
Causal Inference MethodsProduction-Grade SQL SkillsFluency In PythonData Modeling ExperienceA/B Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Causal InferenceA/B TestingRegression AnalysisDifference-In-DifferencesData AnalysisStatistical AnalysisData InterpretationExperimental DesignDecision ToolsOutcome Measurement
Soft Skills
AutonomyOwnershipCommunicationProblem-SolvingStatistical Literacy
Tools & Technologies
DatabricksDbt
Industry Keywords
B2B SaaSMarketplace ProductsProduct AnalyticsEvidence-Based PrioritizationExposure Tracking
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Estimate the potential impact of roadmap bets to support evidence-based product prioritization
- Partner with product and engineering to make launches measurable through progressive rollouts, exposure tracking, and predefined success metrics
- Own analyses from planning through execution, including eligibility, exposure, and outcomes datasets
- Measure the impact of product features on studio retention, revenue, and activation
- Select appropriate experimental or observational causal-inference methods
- Investigate unexpected movements in key metrics, identify root causes, and recommend actions
- Translate analytical findings into recommendations, decision tools, and guardrails
- Raise statistical literacy across the company and communicate when data cannot answer a question
- Build the decision-science function and shape its methods and tools
Requirements
What you’ll need- 4+ years in decision science, product data analytics or a similar role
- Hands-on experience with causal inference in a business setting, including A/B tests, geo experiments, difference-in-differences, and regression analysis
- Production-grade SQL skills
- Solid data modeling experience
- Fluency in Python for statistical analysis
- Experience delivering analyses that changed real decisions
- Ability to select the simplest method that is good enough
- Ability to explain uncertainty in plain language and turn confidence intervals into actionable recommendations
- Autonomy and ownership
- Bonus: experience in B2B SaaS or marketplace products
- Bonus: experience with Databricks and dbt
Benefits
Comp & perks- Competitive salary packages based on your experience and role
- Hybrid model with 3 days per week in the office
- Up to 15 days of remote work from abroad each year
- Specially discounted HelloCSE membership
- Multicultural colleagues, after-work events, team-building & more