Data Science Lead
3 days ago
- Develop and implement business intelligence models to drive smarter decisions.
- Use Python & machine learning to analyze large datasets, extract insights, and optimize performance.
- Design and maintain scalable data infrastructure for real-time analytics.
- Collaborate with engineering, product, and operations teams to integrate data into key business functions.
- Define best practices for data governance, quality, and compliance.
- Transform complex data into actionable strategies for senior stakeholders.
What Were Looking For:
- 5+ years of experience in data science, with a focus on BI, analytics, or decision-making.
- Proficiency in Python (Pandas, NumPy, Scikit-Learn) & data visualization tools.
- Hands-on experience with large datasets & databases (SQL, Snowflake, BigQuery, etc.).
- Expertise in statistical analysis, machine learning, and data modeling.
- Ability to build and scale a data function from scratch.
- Strong communication skills you can translate data insights for non-tech audiences.
- Leadership mindset youve led teams or are eager to build one.
- Bonus Points If You Have:
- Experience with credit risk modeling or alternative credit scoring.
- Knowledge of cloud data platforms (AWS, GCP, Azure).
- Familiarity with BI tools (Power BI, Tableau, Looker).
- Experience with A/B testing & experimentation frameworks.
Why Join Us?:
- Build the data science function from the ground up.
- Lead in a fast-growing, innovation-driven fintech environment.
- Collaborate with a dynamic team that values creativity and data-driven impact.
- Competitive salary & career growth opportunities.
- Shape the future of data science in fintech.
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