Description

You will analyze large volumes of structured and unstructured data to extract insights, build predictive models, and support data-driven decisions.

This role is on-site.

Responsibilities

• Gather, clean, and validate data from various sources for quality assurance.
• Conduct exploratory data analysis to identify trends, anomalies, and patterns in large datasets.
• Design and implement machine learning models (regression, classification, clustering, NLP) for forecasting.
• Create dashboards and reports using tools like Power BI to communicate findings.
• Develop scripts and tools to automate data processing and model deployment.

Required Skills

• 5+ years of experience in data science.
• Proficiency in Python, Pandas, and Scikit-learn.
• Experience with cloud platforms, specifically Azure and AWS.
• Strong SQL skills and experience with Snowflake.
• Ability to perform Data Modeling.
• Familiarity with deep learning frameworks like TensorFlow.
• Experience working cross-functionally with engineering and product teams.

Preferred Skills

• Bachelor's degree in a quantitative field.

Key Skills

Education

Bachelor's degree