Senior Data Scientist, Applied ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the complete development cycle of sophisticated machine learning models focused on customer lifetime value, conversion likelihood, lead quality, and revenue enhancement.

• Convert model outputs into actionable insights that refine marketing investment strategies, boost customer acquisition efficiency, and enhance long-term profitability.

• Create recommendation and ranking systems to pinpoint suitable financial products for consumers.

• Execute propensity modeling, learning-to-rank techniques, and next-best-product suggestions.

• Infuse predictive intelligence into consumer interactions and tailored communications in collaboration with Product and Marketing teams.

• Leverage Databricks and MLflow for the development, training, deployment, monitoring, and management of models at scale.

• Set up experiment tracking, model versioning, feature engineering, automated training pipelines, model monitoring, and reproducibility protocols.

• Establish criteria for model performance, dependability, retraining, production readiness, data drift, and model deterioration.

• Design and assess experiments that gauge incremental impacts on business outcomes.

• Act as a technical leader, mentoring practitioners, influencing architectural choices, and raising engineering and modeling standards.

• Collaborate with Data Engineering, Product, Marketing, and Analytics teams to transform business challenges into scalable machine learning solutions.

⛳️ Requirements

• A minimum of 5 years of professional experience in Data Science, Applied Machine Learning, or a related area.

• Proficient hands-on experience with Databricks, specifically in building and managing production machine learning workflows using MLflow and the Databricks ML ecosystem.

• Advanced skills in Python and SQL.

• Extensive familiarity with scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.

• Solid understanding of supervised learning, predictive modeling, classification, regression, ranking, and evaluation methodologies.

• Experience in designing scalable batch and/or real-time inference systems.

• Knowledge of latency, reliability, and performance trade-offs.

• Strong software engineering principles, including version control, testing, modular code architecture, and CI/CD practices for machine learning.

• Capability to independently lead complex, ambiguous technical projects from problem identification to deployment and evaluation of business impact.

• Strong business insight connecting technical solutions to quantifiable results.

• Excellent communication and teamwork abilities.

• Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a comparable quantitative field, or equivalent practical experience.

• Must reside in the U.S.

• Must have legal authorization to work in the United States.

🏝️ Benefits

• Comprehensive medical, dental, and vision healthcare plans for employees and their dependents.

• Flexible Vacation Time Off plus 11 holidays and a holiday company shutdown.

• New Parent Leave for employees welcoming a newborn child or a child placed with them for adoption or foster care.

• Access to mental health support.

• Paid sabbatical after five years of service.

• Health and Dependent Care FSA and HSA Plan with monthly contributions from NerdWallet.

• Monthly Wellness Stipend.

• Cell Phone Stipend.

• Wifi Stipend for remote employees.

• Equipment stipend for remote employees to work from home.

• Co-working space subsidy for remote employees.

• Employee Resource Groups.

• Hackathons and team-building events.

• Company-wide events.

• 8 hours of volunteer time off each quarter, with a company match.

• 401K plan with a 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 premiums covered by the employer.

• Equity opportunities available.