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Tata Motors Globa Internship for freshers and experience . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in Mumbai, India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Trainee Active Jobs For Freshers
About Company :
Tata Motors Group (Tata Motors) is a leading global automobile manufacturing company. Its diverse portfolio includes an extensive range of cars, sports utility vehicles, trucks, buses and defence vehicles. The Tata Motors Group’s over 80,000 employees are guided by the mission “to innovate mobility solutions with passion to enhance quality of life”.
Job Overview
We are looking for a customer-focused & business-oriented Data Scientist who will be responsible for conducting analyses using advanced statistics and data mining techniques to enable better decision making. This role will have exposure to leadership teams and help Tata Motors achieve its strategic priorities.
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Responsibilities
- Develop and drive complex projects using advanced analytic techniques.
- Use statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models per business need
- Comfortable with open-ended problems. Be able to frame your own hypothesis, create meaningful metrics, and select the modelling approach.
- Translate conceptual questions into data-driven analyses to allow leaders to make informed decisions
- Ability to extract and clean data from a variety of structured and unstructured sources and do data wrangling.
- Build Statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models
- Monitor the results of statistical models through the use of dashboards and ad hoc analyses.
- Effective communication skills, both written and verbal.
Desired Candidate Profile
- Education : Degree (MSc) in Statistics, Applied Mathematics, Computer Science or other technical discipline.
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Skills & Competencies
- Strong Proficiency in programming in R, Python, PySpark.
- Strong understanding of statistical analysis, predictive modelling and data engineering techniques.
- Deep understanding of statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models.
- Ability to develop analytical approaches to answer high-level questions and develop insightful recommendations.
- Exceptional attention to detail and ability to work effectively with minimal supervision.
