Lead Data Scientist
Lead Data Scientist responsible for building, deploying, and owning ML models for credit risk, fraud detection, and payment optimization at a consumer fintech company. Requires 6+ years of data science experience, advanced degree, end-to-end modeling expertise, and strong cross-functional communication skills.
About the job
What you'll be doing
- Build, test and roll out new underwriting and risk models to better predict risk. Own the full modeling lifecycle from conception through to production.
- Build, test and roll out new or improved models related to fraud and payments.
- Contribute to building best practices for feature development, model training, model testing and monitoring.
- Analyze how our customer base is shifting as we grow and pinpoint areas we can improve.
- Help existing engineering and business teams achieve cross-functional goals.
- Mentor more junior data scientists or aspiring data scientists across the data team.
What you have
- 6+ years of experience doing data science (modeling + analysis).
- Advanced degree in data science, statistics, computer science, or related field.
- Proven expertise in machine learning principles and techniques.
- Experience in Python, using industry-standard modeling toolkits like sklearn, JupyterLab, pandas, matplotlib, statsmodels, etc.
- Experience in writing complex SQL queries and the ability to put together multiple data sources.
- Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, creating and owning performance and model monitoring.
- Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models.
- Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams).
- Experience building end-to-end data science solutions to address business needs: from ideation to deployment & AB testing.
- Strong written and verbal communication skills, with the ability to explain complex concepts to various audiences.
Who You Are
- Passionate self-starter who is always looking for ways to optimize, test, and improve.
- Ability to operate through ambiguity by asking questions and learning quickly.
- Always willing to collaborate and help your colleagues to do their best work.
- Passionate about making a difference in people's lives through your work.
Compensation
The anticipated annual base salary for this position is $185,000 - $215,000 with a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Skills
Machine Learning, Python, SQL, scikit-learn, pandas, Jupyterlab, Matplotlib, Statsmodels, A/B Testing, Model Monitoring, Classification Models, Risk Modeling, Fraud Detection
Similar jobs
Data Science jobsLeads and develops a product-focused data science team while partnering with cross-functional leaders to shape growth strategy, measurement, experimentation, and AI-powered product development. Requires 10+ years in data science or related fields, including 4+ years managing data science teams.
Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Senior Data Scientist supporting user growth by embedding with product teams, guiding experimentation and data-informed decisions, and building analyses, dashboards, and scalable models. Requires strong quantitative communication, SQL, Python or R, machine learning, and a graduate degree or equivalent expertise.
Senior Data Scientist responsible for advancing and delivering trustworthy user-growth forecasts, partnering with Product, Finance, and Strategy to influence business decisions. Requires strong forecasting experience, quantitative expertise, SQL and Python proficiency, and excellent communication skills.
Leads ads fraud measurement, detection, and automated enforcement for Reddit Safety, translating behavioral analysis into production pipelines, models, rules, and governance. Requires advanced quantitative education, substantial data science experience, and expertise in fraud evaluation, machine learning, Python, and SQL.