Description

You will apply advanced analytics and machine learning techniques to extract insights from large, complex datasets.

Responsibilities

• Develop and deploy predictive models to solve business problems and support decision-making.
• Perform exploratory data analysis and large-scale experimentation.
• Translate business requirements into analytical solutions and data-driven recommendations.
• Present insights and findings to stakeholders, including senior leadership.
• Research and implement modern machine learning, AI, and data science methodologies.

Required Skills

• Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related STEM field.
• 5+ years of relevant professional experience.
• Hands-on experience with Python or R.
• Strong proficiency in SQL and working with large datasets.
• Experience with statistical modeling and machine learning techniques.
• Familiarity with tools such as SAS or NoSQL databases.
• Ability to work with structured and unstructured data.
• Experience with AWS.
• Proficiency in Data Science practices.

Preferred Skills

• Experience with machine learning frameworks like TensorFlow or scikit-learn.
• Familiarity with data visualization tools such as Tableau.
• Understanding of building scalable data pipelines and model deployment.

Key Skills

Education

Master's degree