Description

Analyze large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making.

This role is on-site.

Responsibilities

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

Required Skills

• 5+ years of experience in data science.
• Proficiency in Python and SQL.
• Experience with cloud platforms including Azure and AWS.
• Working knowledge of data warehousing solutions like Snowflake.
• Expertise in data manipulation libraries such as Pandas.
• Familiarity with machine learning libraries including Scikit-learn.
• Experience implementing deep learning with TensorFlow.
• Bachelor's degree required.

Key Skills

Education

Bachelor's degree