Senior Data Scientist, Applied ML

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $136k - $252k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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NerdWallet

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

💸 Finance

💳 Fintech

💰 Secondary Market on 2021-05

Finance • Fintech

NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. The company prides itself on cultivating an award-winning culture that fosters equity and inclusivity, allowing its employees, known as 'Nerds', to thrive. It invests heavily in its workforce through professional development and community engagement, focusing on helping the underserved and unbanked populations through its Corporate Social Responsibility programs. NerdWallet has been recognized for its positive workplace culture and commitment to making a tangible difference in the lives of consumers.

📋 Description

• 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

• 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

• 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

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