Senior Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Fintech): Building predictive models across critical business domains including LTV, churn, retention, and customer quality assessment with an accent on business impact and experimentation infrastructure. Focus on defining core metrics, partnering with GTM, Sales, Finance, Product to deliver actionable insights, and mentoring junior data scientists.
Location: Hybrid environment, collaborate in the office three days a week (Tuesday–Thursday)
Salary: $144,000 - $176,000 annually (typical starting $160,000)
Company
Digital banking platform giving self-made business owners tools for financial clarity, confidence, and control.
What you will do
- Own predictive modeling for LTV, churn, retention, and early-signal customer quality
- Support rollout of experiment infrastructure and establish A/B testing standards
- Partner with GTM, Sales, Finance, Product to frame analytical problems
- Define and improve core metric definitions
- Deliver stakeholder insights and presentations that drive decisions
- Contribute to roadmap planning and mentor junior data scientists
Requirements
- Hands-on experience building and deploying predictive models like LTV, churn, lead scoring
- Deep comfort with SQL and Python for statistical analyses
- Strong business instincts and experience with A/B testing
- Thrive in ambiguous environments and ramp quickly
- Clear communicator bridging technical and business needs
- Comfort with modern analytics stack; Snowflake and dbt strong plus
Culture & Benefits
- Compensation tied to impact with no annual review limits
- Autonomy, ownership, and feedback-driven growth
- Push for reinvention in fast-moving environment
- Inclusive culture prioritizing diversity and accommodations
- Mission-focused on helping small businesses thrive
Hiring process
- Stage 1: 45-min video call with People Team
- Stage 2: 60-min video call with Hiring Manager
- Stage 3: 45-min in-person with Leadership
- Stage 4: Take-home case study + 60-min Data team call
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