Rain

4 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build self-serve analytics by creating dashboards and trusted data sources, running weekly insight loops, and turning messy operational signals into clear priorities. Drive metric correctness and adoption by reconciling definitions, running acceptance tests, and closing instrumentation gaps so teams can self-serve. Partner with Product and Engineering to improve reliability and quality while supporting leaders with actionable insights.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build dashboards and data sources that enable self-serve, trusted views to drive operating cadence and day-to-day decisions.
•Run insights discovery by establishing a rhythm that surfaces what matters most to the right stakeholders.
•Own metric quality by partnering with Product and Engineering to ensure reliability and answer key questions.
•Turn messy signals (logs, events, operational workflows, partner escalations) into clear priorities and actions.
•Reconcile definitions, run acceptance tests, and close instrumentation gaps so teams can self-serve.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquity PlanGym Membership

Key Requirements

•5–8+ years in data analytics, business analytics, data science, product analytics, consulting, or related roles.
•Advanced SQL skills, including complex joins, edge cases, and working with messy schemas.
•Advanced experience with BI tools (Metabase, Mode, Lightdash, Hex or similar) and designing dashboards for self-serve analytics.
•A structured approach to problem solving and the ability to turn fuzzy questions into clear analysis and actions.
•Excellent communication skills and cross-functional collaboration with both technical and non-technical audiences.

Experience:FintechPaymentsProduct analyticsConsulting

Skills:CommunicationCross-functional collaborationProblem-solvingBias for action

Tech Stack:SQLMetabaseModeLightdashHexPythonPandasNotebooksDbtDimensional modelingMetrics layersLLM tools

Company Brief

Rain

Website

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Rain

4 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build dashboards and data sources that enable self-serve, trusted views to drive operating cadence and day-to-day decisions.
•Run insights discovery by establishing a rhythm that surfaces what matters most to the right stakeholders.
•Own metric quality by partnering with Product and Engineering to ensure reliability and answer key questions.
•Turn messy signals (logs, events, operational workflows, partner escalations) into clear priorities and actions.
•Reconcile definitions, run acceptance tests, and close instrumentation gaps so teams can self-serve.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kEquity PlanGym Membership

Key Requirements

•5–8+ years in data analytics, business analytics, data science, product analytics, consulting, or related roles.
•Advanced SQL skills, including complex joins, edge cases, and working with messy schemas.
•Advanced experience with BI tools (Metabase, Mode, Lightdash, Hex or similar) and designing dashboards for self-serve analytics.
•A structured approach to problem solving and the ability to turn fuzzy questions into clear analysis and actions.
•Excellent communication skills and cross-functional collaboration with both technical and non-technical audiences.

Experience:FintechPaymentsProduct analyticsConsulting

Skills:CommunicationCross-functional collaborationProblem-solvingBias for action

Tech Stack:SQLMetabaseModeLightdashHexPythonPandasNotebooksDbtDimensional modelingMetrics layersLLM tools

Company Brief

Rain

Website