Job Role Responsibilities:
- Analyze and interpret data to identify trends and insights.
- Develop and implement data-driven solutions to address business challenges.
- Collect, clean, and transform data from various sources.
- Work with big data, unstructured data
- Build and train machine learning models for prediction, classification, and other tasks.
- Communicate findings and recommendations to stakeholders clearly and concisely.
- Stay up-to-date with the latest trends and technologies in data science.
- Should be able to perform EDA of raw data and feature engineering wherever applicable
- Acquainted with know-how of JIRA or equivalent project tracking tool
Competency Requirement
Technical/Functional:
- Excellent project management skills, including planning, budgeting, resource allocation, and risk management.
- Proficiency in Python or R programming languages.
- Should have basic knowledge about cloud platforms such as AWS, and Azure.
- Proficiency in Advanced Excel (Power Query, Pivots, Charts) and PowerBI
- Should have basic working experience with Spark for big-data analytics
Others:
- Experience working in manufacturing/process-based industry.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Excellent presentation and communication skills, both written and verbal, ability to problem solve in an environment with unclear requirements.
- Experience of working using Agile methodologies
Eligibility Criteria:
- Bachelor of Technology (B.Tech) or equivalent
- Certifications / courses in Data Science/Data Engineering preferred
