?? Senior data Scientist
Join a team building ML-driven products that outperform the investment market
Were looking for an experienced Senior data Scientist to join a strong data Science team and make a real impact by designing and deploying advanced Machine Learning solutions in a production environment.
What Youll Do
Design, research, develop, and implement predictive ML models for complex business problems
Serve as a focal point for classical ML algorithms, LLM implementation, and statistical methodologies
Build and maintain scalable data pipelines and ML infrastructure
Collaborate closely with backend, data Engineering, DevOps, frontend teams, and investment portfolio managers
Stay up to date with advancements in MLOps, time-series prediction, and Gen-AI
Requirements
B.Sc. in Machine Learning, Computer Science, Software Engineering, Statistics, or a related field
5+ years of hands-on experience as a data Scientist in a startup environment
Proven experience with time-series prediction and tabular data, including ML model productization
Strong coding skills in Python and SQL (efficient, scalable ML code)
Experience deploying ML models to production (scalability, reliability, Real-Time processing)
Strong communication skills and ability to present actionable insights
Proactive, innovative, and independent mindset
Passion for continuous learning and adaptability
Preferred Qualifications
M.Sc. or Ph.D. in a quantitative field
Experience fine-tuning and deploying LLMs (Hugging Face, vLLM, SageMaker)
Experience with AWS, Airflow, Docker, Kubernetes, MLflow
Join a team building ML-driven products that outperform the investment market
Were looking for an experienced Senior data Scientist to join a strong data Science team and make a real impact by designing and deploying advanced Machine Learning solutions in a production environment.
What Youll Do
Design, research, develop, and implement predictive ML models for complex business problems
Serve as a focal point for classical ML algorithms, LLM implementation, and statistical methodologies
Build and maintain scalable data pipelines and ML infrastructure
Collaborate closely with backend, data Engineering, DevOps, frontend teams, and investment portfolio managers
Stay up to date with advancements in MLOps, time-series prediction, and Gen-AI
Requirements
B.Sc. in Machine Learning, Computer Science, Software Engineering, Statistics, or a related field
5+ years of hands-on experience as a data Scientist in a startup environment
Proven experience with time-series prediction and tabular data, including ML model productization
Strong coding skills in Python and SQL (efficient, scalable ML code)
Experience deploying ML models to production (scalability, reliability, Real-Time processing)
Strong communication skills and ability to present actionable insights
Proactive, innovative, and independent mindset
Passion for continuous learning and adaptability
Preferred Qualifications
M.Sc. or Ph.D. in a quantitative field
Experience fine-tuning and deploying LLMs (Hugging Face, vLLM, SageMaker)
Experience with AWS, Airflow, Docker, Kubernetes, MLflow
This position is open to all candidates.
