Data Science Lead
2 weeks ago
What Youll Do:
- Develop & implement business intelligence models to enhance decision-making.
- Analyze large datasets using Python & machine learning techniques to uncover insights.
- Design & maintain scalable data infrastructure for real-time analytics.
- Collaborate with engineering, product, and operations teams to integrate data-driven insights.
- Translate complex data into actionable strategies for senior stakeholders.
- Define best practices for data governance, quality, and compliance.
What You Bring:
- 5+ years of experience in data science, with a focus on BI, analytics, or operational decision-making.
- Expertise in Python (Pandas, NumPy, Scikit-Learn) and data visualization tools.
- Experience with large datasets and databases (SQL, Snowflake, BigQuery, or similar).
- Strong statistical & machine learning knowledge.
- Leadership experience or a strong desire to build and manage a team.
- Excellent communication skillsable to translate data insights for non-technical stakeholders.
Nice to Have
- Experience in credit risk modeling, alternative credit scoring, or financial data analysis.
- Familiarity with cloud-based data platforms (AWS, GCP, or Azure).
- Knowledge of BI tools (Power BI, Tableau, Looker).
- Experience with A/B testing & experimentation frameworks.
How to Apply:
If you meet the above requirements, please send your resume DIRECTLY to
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