Description

You will apply statistical modeling and machine learning to extract insights from complex datasets and drive decision-making.

This role is on-site.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to uncover patterns and trends.
• Develop, implement, and validate statistical models and algorithms to solve business problems.
• Design, train, and deploy machine learning models to predict outcomes and automate processes.
• Collaborate with data engineers and analysts to translate business requirements into data-driven solutions.

Required Skills

• 5+ years of experience in data science or relevant quantitative roles.
• Proficiency in Python, SQL, and R.
• Hands-on experience with AWS, Azure, or Google Cloud.
• Experience with big data technologies including Hadoop and Spark.
• Strong ability to analyze complex datasets and draw actionable conclusions.
• Proven track record of managing data science projects from conception to deployment.
• Ability to communicate technical findings to non-technical stakeholders.

Key Skills

Education

Any Graduate