onsite
Data Scientist - ThesisGrid
Data Scientist
Data Scientist focused on building predictive models and NLP solutions for investment research, leveraging Python, machine learning, and statistical techniques to drive financial insights and experiment-driven innovation.
About the role
Key Responsibilities
- Develop and deploy predictive models and algorithms for financial analysis using Python and advanced machine learning techniques.
- Conduct research on novel approaches to financial text analysis and natural language processing to extract actionable insights.
- Design, implement, and analyze A/B tests and experiments to validate hypotheses and measure model impact.
- Build robust feature engineering pipelines that transform raw financial data into high‑value inputs for machine learning models.
- Collaborate with cross‑functional teams to translate business questions into analytical solutions and communicate findings to stakeholders.
Requirements
- Strong programming skills in Python with experience in libraries such as pandas, scikit‑learn, and TensorFlow/PyTorch.
- Proven expertise in machine learning, statistical modeling, and NLP applied to financial or large‑scale text data.
- Hands‑on experience designing and running A/B tests and interpreting experimental results.
- Excellent problem‑solving abilities and a passion for data‑driven decision making.
- Effective communication skills to present complex analyses to non‑technical audiences.
Skills
pythonmachine learningnlpfinancial analysis