Staff Data Scientist
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Job Description
Staff Data Scientist leading machine learning initiatives for personalization and optimization at NerdWallet. Drive modeling efforts to enhance user experience and profitability across marketplaces.
Responsibilities:
- Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions
- Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces
- Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning
- Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent
- Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation
- Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems
- Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability)
- Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems)
- Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility
- Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization
- Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies
- Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet
Requirements:
- 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields
- Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series)
- Proven experience building and operationalizing LTV models for real-time or near-real-time applications
- Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL
- Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow)
- Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection)
- Demonstrated success deploying models that materially impact revenue, efficiency, or user experience
- Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders
- Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces.
- Preferred Qualifications:
- Experience with marketplace optimization, ranking systems, or auction-based environments
- Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems
- Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast)
- Domain experience in fintech, marketplaces, growth, or performance marketing
Benefits:
- Industry-leading medical, dental, and vision health care plans for employees and their dependents
- Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown
- New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care
- Mental health support
- Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests
- Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
- Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend)
- Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends)
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