Senior Data Scientist - Algorithms
September 12
Description
•Build and Deploy ML Models: Design, develop, and deploy machine learning models to enhance Risk and Fraud detection systems. •Lead Technical Efforts: Provide technical direction and help shape team’s strategy in Risk/Fraud area. •Data Manipulation: Use SQL to efficiently fetch, transform, and manipulate data for model development. •Code Development: Write production-grade code for robust machine learning solutions. •Design Experiments: Apply statistics to guide experiments and evaluate model performance. •Cross-Function Partnership: Partner with Operations Team for rapid response to evolving events.
Requirements
•5+ years experience in Data Science or ML Engineering. •A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field. •Proficiency in SQL and Python. •Ability to communicate clearly with both technical and non-technical audiences. •Excellent data analysis skills. •Experience developing and deploying machine learning models. •Experience, but not required, in working in financial systems, including lending or risk/fraud.
Benefits
•Competitive salary based on experience, with full medical and dental benefits 💸 •High potential for growth 📈 •Stock in an early-stage startup 🤩 •Flexible WFH and vacation policy 🏝 •Paid parental Leave 🐣 •Employee referral program 👯♀️👯 •401K plan 💪🏻
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