Analyzes complex data to extract insights build predictive models and support data-driven decision-making.
Key Responsibilities:
- Perform exploratory data analysis and feature engineering.
- Build statistical and machine learning models.
- Present insights through visualizations and reports.
- Collaborate with cross-functional teams to define data strategies.
- Research and apply new data science methods.
Required Skills:
- Proficiency in Python R or Scala.
- Strong statistical and mathematical skills.
- Knowledge of ML algorithms and data wrangling.
- Experience with big data tools (Spark Hadoop).
- Data visualization skills (Tableau Power BI).
Experience:
36 years in data science or analytics.
Summary: Designs end-to-end AI systems, integrating machine learning, automation, and data engineering into scalable enterprise solutions. Key Responsibilities: - Define AI architecture aligned with business goals. - Lead solution design for AI/ML projects. - Evaluate AI tools, frame ... View more