Salary
💰 $114,900 - $154,100 per year
Tech Stack
NumpyPandasPySparkPythonScikit-LearnSparkSQL
About the role
- Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction
- Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation
- Collaborate with Product and Engineering to deploy models in to production environments and monitor performance
- Design and analyze A/B tests and other experiments to assess model impact
- Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights
- Partner with stakeholders to translate business needs into machine learning problems
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 3+ years of experience developing and deploying machine learning models in production
- Proficiency in SQL, Python (e.g. Pandas, NumPy, Scikit-learn, LightGBM)
- Experience with distributed computing tools such as Spark or PySpark
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- full range of medical, financial and/or other benefits, dependent on the level and position offered
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel developmentfeature engineeringA/B testingSQLPythonPandasNumPyScikit-learnLightGBM
Soft skills
collaborationcommunicationstakeholder engagementanalytical thinkingproblem-solving