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Data Science Manager
Skills
Computer ScienceContinuous ImprovementEvent-DrivenManagementMicrostructureModelingPrediction Markets
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years of experience in Data Science Quantitative Research Machine Learning Quantitative Finance Market Making Sports Betting Prediction Markets or related fields
- 3+ years of experience managing technical teams
- Strong background in statistical modeling machine learning optimization and experimentation
- Experience developing quantitative models for trading forecasting recommendation systems or market operations
- Demonstrated ability to bring models from research into production environments
- Strong proficiency in Python SQL Pytorch and modern data science tooling
- Experience working with large-scale datasets and real-time systems
- Excellent communication and cross-functional leadership skills
- Experience deploying machine learning systems at scale
Nice to have
- Prediction markets
- Sports betting
- Algorithmic trading
- Market microstructure
- Liquidity dynamics
- Startup leadership
- Bayesian modeling
- Reinforcement learning
Day to day
- Lead the Quantitative Research team and shape the technical vision for market making market taking and market curation systems
- Develop and productionize models for pricing liquidity provision execution forecasting and risk management in live market environments
- Partner closely with engineering product and market operations to build scalable reliable low-latency systems that improve market efficiency and profitability