Senior Data Science Engineer
- Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.
- Develop and implement statistical models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to integrate data science solutions into production systems.
- Mentor junior data scientists and provide guidance on best practices and methodologies.
- Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.
- Assist with the adoption of data-driven strategies into the trading processes
- Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives
- Proven experience in data science, with a strong foundation in machine learning and statistical modeling.
- Experience developing LSTM-based models for sequential forecasting or behavioral modeling.
- Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.
- Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Experience in developing and implementing automated trading or decision-making systems is highly desirable
- Experience with Kubernetes and Kafka are desirable
- Experience with Databricks is desirable
- Experience with experimentation is desirable
- A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
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