Description

Build predictive models and extract actionable insights from large datasets to drive business decisions.

This role is on-site.

Responsibilities

• Develop predictive models and machine learning algorithms to solve specific business problems.
• Design and implement pipelines for data preprocessing, feature engineering, and model training.
• Analyze large datasets to extract actionable insights.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions.
• Communicate findings and recommendations to stakeholders using data visualization and storytelling.

Required Skills

• 3-4 years of hands-on experience in data analysis and machine learning.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Strong understanding of statistical concepts and techniques.
• Experience with data visualization tools like Tableau, Matplotlib, or Seaborn.
• Familiarity with SQL and relational databases for querying and manipulation.
• Any Graduate degree.

Preferred Skills

• Experience with TensorFlow or scikit-learn.

Key Skills

Education

Any Graduate