- Analyze complex datasets to generate actionable insights.
- Develop predictive and machine learning models.
- Collaborate with data engineering teams to ensure data quality and scalability.
- Partner with cross-functional teams to identify opportunities for data science applications.
- Stay updated on emerging tools and industry trends.
Qualifications:
Required:
Bachelor's degree in data science, Computer Science, Statistics, or related fields with 5-8 years on experiance.
Proficiency in Python, R, SQL, and visualization tools (e.g., Tableau, Power BI).
Strong knowledge of data manipulation and statistical methods