Posted:2 days ago|
Platform:
Remote
Part Time
📢 Opening: Data Scientist (Equity-Based Role) Type: Remote Strategic Contributor Part-Time (20-25 hours/week) Compensation: Equity-only (until funding/revenue stage) Start Date: Immediate 🎯 Role Overview We’re looking for a Data Scientist who can work closely with product, marketing, and business teams to extract insights, build data pipelines, and design experiments — helping drive product-market fit, user understanding, and strategic decisions. This is an equity-only role intended for someone who thrives in early-stage environments, enjoys solving ambiguous problems, and wants to build long-term ownership in ventures that scale. 🔧 Key Responsibilities Analyze user behavior, product usage, and marketing data to uncover insights Design and implement data models for growth, funnel, churn, and cohort analysis Build dashboards, KPIs, and lightweight reporting infrastructure Support MVP and pilot testing with data-backed decision frameworks Run experiments and measure the impact of changes across marketing, product, and GTM Work with product/tech team to set up event tracking, data flow, and integrations Translate raw data into clear, actionable narratives for decision-makers Assist in preparing data-backed stories for investors or early traction decks ✅ You’re a Great Fit If You have 5+ years experience in data science, analytics, or BI roles You’re comfortable working with SQL, Python, Excel, and BI tools (Tableau, Looker, etc.) You’ve worked in early-stage or resource-lean environments You can move fast, iterate quickly, and prioritize signal over noise You enjoy the ownership and freedom that comes with equity-first roles You can commit 15–20 hours/week on a flexible remote schedule 📈 What You’ll Get Equity in a high-impact early-stage venture (vesting post onboarding) A key role in shaping the company’s product and growth strategies Visibility in leadership and investor-facing decisions Opportunity to transition into a long-term Head of Data / Strategy role post-funding The chance to work on real-world data problems from day zero Skills: bi tools (tableau, looker),sql,analytics,aiml,excel,dashboards,python,funding,data Show more Show less
PD Consulting
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Salary: Not disclosed
Salary: Not disclosed