Data Scientist

Role & responsibilities

Purpose of the Role

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 senior leadership teams and help Tata Motors achieve its strategic priorities.

Job Responsibility

• 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; ability to tell the story and develop executive level presentations with guidance

Preferred candidate profile

Desired Candidate Profile

• Education: Degree in Statistics, Applied Mathematics, Computer Science or other technical discipline
• >2 years of relevant work experience as a data scientist and solving business challenges is preferred.

Skills & Competencies

• Strong Proficiency in programming in R, Python
• 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