Data Scientist

Key Responsibilities

• Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization.
• Design and implement analytical frameworks to solve business challenges.
• Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Continuously improve model performance and scalability.
• Collaborate with data engineering teams to ensure the availability and quality of data pipelines.
• Implement data preprocessing, transformation, and feature engineering processes.
• Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals.
• Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders.
• Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization.
• Stay updated on emerging technologies and incorporate best practices in data science workflows.
• Define and track key metrics to measure the success of models and business impact.
• Conduct A/B testing and experiments to validate hypotheses and model effectiveness.

Key Skills:

• Python
• R
• Java 
• SQL
• NoSQL