NerdWallet

3 months ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Staff Data Scientist leads machine learning, causal inference, and personalization modeling across NerdWallet’s marketplaces, driving real-time decisioning and revenue impact. You will design scalable measurement frameworks, mentor other data scientists, and partner with Product, Engineering, Marketing, and Finance to align data investments with business strategy while shaping AI-driven growth and experimentation practices.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure 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

Pay and Benefits

Salary: USD 152,000 - 282,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRemote WorkLearning BudgetWifi StipendCell PhoneHome OfficeParental Leave

Key Requirements

•8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields
•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

Experience:8+ yearsFintechMarketplaces

Skills:Communication

Languages:English

Tech Stack:PythonPandasNumpyScikit-learnLightGBMXGBoostPySparkSQLSnowflakeDatabricksSparkMLflowGit

Company Brief

NerdWallet

NerdWallet provides personal finance guidance, comparison tools, and financial product recommendations (credit cards, mortgages, insurance, loans) to help consumers and small businesses make informed money decisions via content, calculators, and advisory services.

Industry: Publishing

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Glassdoor: 3.5

Website LinkedIn Glassdoor

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NerdWallet

3 months ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure 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

Pay and Benefits

Salary: USD 152,000 - 282,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRemote WorkLearning BudgetWifi StipendCell PhoneHome OfficeParental Leave

Key Requirements

•8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields
•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

Experience:8+ yearsFintechMarketplaces

Skills:Communication

Languages:English

Tech Stack:PythonPandasNumpyScikit-learnLightGBMXGBoostPySparkSQLSnowflakeDatabricksSparkMLflowGit

Company Brief

NerdWallet

Industry: Publishing

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Glassdoor: 3.5

Website LinkedIn Glassdoor