Key Responsibilities
- Analyze complex datasets to extract actionable insights and trends
- Develop predictive models and statistical algorithms for business applications
- Design and implement data pipelines for ETL and feature engineering
- Collaborate with stakeholders to define data-driven solutions
- Create visualizations and reports to communicate findings effectively
- Optimize models for performance, accuracy, and scalability
Requirements
- 3+ years of experience in data science or analytics
- Proficiency in Python, SQL, and statistical modeling tools
- Experience with machine learning and data visualization libraries
- Strong problem-solving and analytical skills
- Knowledge of big data technologies (Spark, Hadoop) is a plus