Lead: Data Science
5 days ago
What Youll Do:
- Develop & implement advanced business intelligence models to enhance decision-making and drive strategy.
- Uncover deep insights by analyzing massive datasets using Python & machine learning techniques.
- Build scalable infrastructure for real-time analytics, ensuring efficiency and accuracy in data processing.
- Collaborate cross-functionally with engineering, product, and operations teams to embed data-driven insights into key business decisions.
- Translate complex data into clear, actionable strategies for senior leadership.
- Set data standards by defining best practices for data governance, quality, and compliance.
What You Bring:
- 5+ years experience in data science, specializing in business intelligence, analytics, or operational decision-making.
- Proficiency in Python (Pandas, NumPy, Scikit-Learn) and expertise in data visualization tools.
- Experience working with large datasets and databases (SQL, Snowflake, BigQuery, or similar).
- Strong foundation in statistical analysis & machine learning methodologies.
- Leadership experience or a strong desire to build and manage a data science team.
- Excellent communication skills, with the ability to simplify complex data for non-technical stakeholders.
Bonus Points For:
- Experience in credit risk modeling, alternative credit scoring, or financial data analysis.
- Familiarity with cloud-based data platforms (AWS, GCP, and Azure).
- Knowledge of BI tools (Power BI, Tableau, and Looker).
- Hands-on experience with A/B testing & experimentation frameworks.
Why Join Us?:
- A high-growth fintech environment where data drives real-world impact.
- The opportunity to lead and shape the future of a world-class analytics team.
- Work with top talent in an innovative, fast-paced setting.
- Competitive compensation, career growth, and cutting-edge projects to challenge and inspire you.
If youre ready to push the boundaries of data science and make a tangible impact in fintech, apply today
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