Staff Data Scientist

Nerd Wallet

Actively hiring
Remote (US) Posted 50 days ago $152,000$282,000 / year

At a glance

AI generated

TL;DR

As a Staff Data Scientist at NerdWallet, you will lead the design and implementation of causal inference frameworks to measure incremental impact across personalization and marketing initiatives. You’ll build and scale LTV models for real-time decisioning, develop personalization systems that influence user intent, and deploy production-grade machine learning models driving revenue outcomes. This role involves partnering with Data Engineering teams to define data instrumentation and model monitoring frameworks while providing technical leadership by setting best practices across modern data platforms like Snowflake and Databricks. You will mentor senior data scientists and communicate complex insights to executive stakeholders, shaping long-term AI-driven growth strategies for the company’s marketplaces and personalization efforts.

Skills

Python pandas numpy scikit-learn LightGBM XGBoost PySpark SQL Snowflake Databricks Spark AWS Git MLflow A/B testing Power analysis Bias detection Kafka Kinesis Airflow DBT Feast

What you'll do

  • Lead the design and implementation of causal inference frameworks to measure true incremental impact.
  • Establish standardized methodologies for incrementality, experimentation, and measurement across channels.
  • Build and scale LTV models for real-time decisioning, including churn-adjusted approaches.
  • Develop personalization models influencing ranking, offer selection, content sequencing, and monetization strategies.
  • Mentor senior and mid-level data scientists to raise the overall technical bar in the organization.
  • Influence architectural decisions on modern data and ML platforms like Snowflake, Databricks, and Spark.

What we're looking for

  • Over 8 years of experience in applied machine learning and causal inference.
  • Expertise in designing and implementing causal measurement frameworks like uplift modeling, DML, IVs.
  • Proven track record of building and scaling LTV models for real-time applications.
  • Strong software engineering skills with Python (pandas, numpy, scikit-learn) and PySpark.
  • Experience with distributed systems and modern data platforms such as Snowflake, Databricks.
  • Hands-on experience deploying machine learning models that significantly impact business outcomes.

Market check

Salary context

This $152,000–$282,000 range sits above 91% of similar postings on FindRole.

Peer median band

$99,000$215,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800$184,912

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nerd Wallet

NerdWallet is a personal finance platform that helps consumers make smarter financial decisions by comparing financial products like credit cards, loans, mortgages, insurance, and investment accounts. Industry: Financial Technology & Personal Finance

Nerd Wallet currently has 5 open roles on FindRole.

Listed pay typically runs $152,000–$282,000 across 5 roles with salary data.

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View all roles at Nerd Wallet

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