
501 - 1000 employees
Founded 2009
💰 Secondary Market on 2021-05
NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. We work hard to cultivate an award-winning culture in which our Nerds can realize this mission, and we pride ourselves on the programs we’ve created to positively impact the lives of our consumers, our Nerds, and our wider world.
🕒 April 9
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 2009
💰 Secondary Market on 2021-05
NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. We work hard to cultivate an award-winning culture in which our Nerds can realize this mission, and we pride ourselves on the programs we’ve created to positively impact the lives of our consumers, our Nerds, and our wider world.
• 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
• 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
• 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)
Apply Now🕒 April 1
Staff Data Scientist at ClassDojo supporting district growth through data analysis and insights. Collaborating with leadership to build systems and inform key business decisions.
🇺🇸 United States – Remote
💵 $205k - $245k / year
💰 $125M Series D on 2022-07
⏰ Full Time
🔴 Lead
📊 Data Scientist
🕒 April 1
Staff Data Scientist uncovering insights and driving recommendations at PandaDoc. Leading experimentation capabilities and providing actionable insights and solutions across teams.
🇺🇸 United States – Remote
💵 $190k - $210k / year
💰 Series C on 2021-09
⏰ Full Time
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 April 1
Head of Data leading Data Science and Analytics Engineering teams at ClassDojo. Building data organization to drive product decisions and improvements.
🇺🇸 United States – Remote
💵 $240k - $321k / year
💰 $125M Series D on 2022-07
⏰ Full Time
🔴 Lead
📊 Data Scientist
🕒 April 1
Staff Data Scientist at Volkswagen Financial Services drives data analysis and AI model deployment. Collaborates with teams to transform business problems into impactful solutions.
🕒 March 31
Head of Data leading data practices for a scaling ML product at HomeSight. Overseeing data architecture and managing a diverse, world-class team.