Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically - backed natural bone - loss solution. Transforming data into strategies that improve efficiency, sales, and profitability.
About the role
- Senior Data Scientist building KPI frameworks and analytical models for Fetch’s consumer rewards and advertising platform. Connecting product drivers to retention, monetization, revenue, and margin.
Responsibilities
- Independently own a company-wide KPI, modeling, or measurement workstream through delivery and adoption
- Contribute to the core company KPI framework, including its driver tree and sensitivity model
- Contribute analysis to planning and points allocation
- Define certified metrics and resolve conflicting definitions with partners
- Build KPI trees and decompositions connecting product and business drivers to MAU, retention, ARPU, revenue, and margin
- Model KPI drivers and quantify direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships
- Distinguish arithmetic identities, predictive associations, and causal effects
- Build scenarios and translate company goals into workstream targets
- Apply established observational causal methods with diagnostics and robustness checks, making identification assumptions explicit
- Build reproducible diagnostics and analytical tools grounded in certified data
- Evaluate the accuracy, adoption, and sustained value of deliverables
- Build reproducible, tested analytical workflows in SQL and Python
- Partner with Data Engineering on gold tables, data marts, and semantic layers
- Partner cross-functionally with Product and Engineering teams to drive adoption
- Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty clearly
- Document and share reusable methods
Requirements
- 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
- Experience working with multiple stakeholders to define KPIs and their hierarchy
- Ability to structure a complex space into a tackle-able project plan
- Track record of establishing trusted metric definitions and driving adoption across Product, Finance, Commercial, and Engineering
- Experience building and validating models connecting user behavior and business drivers to retention, monetization, or company outcomes
- Ability to show sensitivity estimates, leading indicators, time horizons, and out-of-sample predictive performance
- Experience using models in target setting or scenario planning while distinguishing prediction from causal impact
- Experience with ML modeling, including regression, causal inference methodology, and graph models
- Experience modeling multi-metric relationships
- Strong skills in SQL, Python, statistics, causal inference, and forecasting
- Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with evidence of accuracy, adoption, and decision impact
- Experience building robust SQL/Python analytical assets and partnering on productionization
- Track record of documenting and sharing reusable methods
- Understanding of experimentation methodology sufficient to identify patterns, concerns, and frameworks that support product data scientists
- Appropriate work authorization for the United States or Canada, as applicable
Benefits
- Equity for full-time employees
- 401(k) with dollar-for-dollar matching up to 4% of eligible pay
- Comprehensive medical, dental, and vision plans, including pets
- Ten thousand per year in education reimbursement
- Employee Resource Groups
- Flexible PTO
- 9 paid holidays (holidays vary for Canada-based roles)
- Year-end week-long break
- 14 weeks of fully paid parental leave
- 6 additional weeks of paid childbirth recovery leave for birthing parents
- Flexible return-to-work schedule
- One-time $2,000 incentive for employees welcoming new family members to assist with childcare and related costs
- Flexible Work Environment
- Hardware and software provided for remote work
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