Data Science Lead â Business Intelligence
3 weeks ago
- Develop and implement BI models to enhance decision-making.
- Use Python & ML techniques to analyze big data and optimize business performance.
- Build scalable data infrastructure for real-time analytics.
- Collaborate across teams to integrate data-driven insights.
- Define best practices for data governance, quality, and compliance.
- Present actionable insights to senior stakeholders.
What You Need:
- 5+ years of experience in data science, BI, or analytics.
- Proficiency in Python (Pandas, NumPy, Scikit-Learn) & data visualization.
- Experience with large datasets & databases (SQL, Snowflake, BigQuery).
- Strong statistical analysis, ML, and data modeling skills.
- Leadership experience or a drive to build and lead a team.
- Excellent communication skills to translate data into business impact.
Bonus Points for:
- Experience in credit risk modeling & alternative credit scoring.
- Knowledge of cloud platforms (AWS, GCP, Azure).
- Familiarity with BI tools (Power BI, Tableau, Looker).
- Hands-on experience with A/B testing & experimentation frameworks.
Why Join?:
- Be the driving force behind a fintechs data science transformation.
- Leadership role in a rapidly growing, innovative company.
- A collaborative, fast-paced, and exciting work environment.
- Competitive salary + the opportunity to make a real impact.
Ready to take the lead?
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