Senior Data Scientist, Applied ML

NerdWallet

. Lead end-to-end development of advanced machine learning models for customer lifetime value, conversion propensity, lead quality, and revenue optimization .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $136,000 - $252,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced machine learning models, with a strong focus on customer lifetime value and marketing optimization. Proficient in leveraging tools like Databricks and MLflow to enhance predictive intelligence and drive measurable business outcomes.

Highest-signal resume keywords

Machine Learning Model DevelopmentDatabricks and MLflow ProficiencyAdvanced Python and SQL SkillsExperience with Scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlowStrong Business Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive ModelingSupervised LearningClassificationRegressionRankingModel EvaluationFeature EngineeringAutomated Training PipelinesCI/CD Practices

Soft Skills

Excellent CommunicationCollaborationTechnical LeadershipMentoringProblem-Solving

Tools & Technologies

DatabricksMLflowPythonSQLScikit-learnXGBoostLightGBMPyTorchTensorFlow

Industry Keywords

Data ScienceApplied Machine LearningCustomer AcquisitionMarketing Investment DecisionsBusiness Impact Measurement

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Lead end-to-end development of advanced machine learning models for customer lifetime value, conversion propensity, lead quality, and revenue optimization
Translate model predictions into signals that improve marketing investment decisions, customer acquisition efficiency, and long-term profitability
Develop recommendation and ranking models to identify relevant financial products for consumers
Implement propensity modeling, learning-to-rank, and next-best-product recommendations
Integrate predictive intelligence into consumer experiences and personalized communications with Product and Marketing
Use Databricks and MLflow to develop, train, deploy, monitor, and manage models at scale
Establish experiment tracking, model versioning, feature engineering, automated training pipelines, model monitoring, and reproducibility practices
Define standards for model performance, reliability, retraining, production readiness, data drift, and model degradation
Design and evaluate experiments measuring incremental business impact
Serve as a technical leader, mentor practitioners, influence architectural decisions, and elevate engineering and modeling standards
Partner with Data Engineering, Product, Marketing, and Analytics to translate business problems into scalable ML solutions

Requirements

What you’ll need

5+ years of professional experience in Data Science, Applied Machine Learning, or a related field
Hands-on Databricks experience, including building and managing production machine learning workflows using MLflow and the Databricks ML ecosystem
Advanced proficiency in Python and SQL
Extensive experience with scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow
Strong understanding of supervised learning, predictive modeling, classification, regression, ranking, and model evaluation techniques
Experience designing scalable batch and/or real-time inference systems
Understanding of latency, reliability, and performance trade-offs
Strong software engineering fundamentals, including version control, testing, modular code design, and CI/CD practices for machine learning
Ability to independently lead complex, ambiguous technical initiatives from problem definition through deployment and business impact measurement
Strong business acumen connecting technical solutions to measurable outcomes
Excellent communication and collaboration skills
Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical experience
Must be based in the U.S.
Must be legally authorized to work in the United States

Benefits

Comp & perks

Industry-leading medical, dental, and vision health care plans for employees and their dependents
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
Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
Monthly Wellness Stipend
Cell Phone Stipend
Wifi Stipend for remote Nerds
Work from home equipment stipend for remote Nerds
Co-working space subsidy for remote Nerds
Employee Resource Groups
Hackathons and team events
Company-wide events
8 hours of volunteer time off per quarter with a company match
401K with 4% company match
Early access to new financial products and tools
Financial wellness guidance and unlimited access to a Certified Financial Planner through Northstar
Disability and Life Insurance with employer-paid premiums
Equity offered