Job description

The job function involves the activities related to building Machine Learning on Deep Learning Models in Automotive domain


Data Scientist responsible for data analysis and ML/ DL model development


· Provide oversight and guidance to other data scientists/analysts on projects and ensure quality of deliverables

· Build methodologies and standards to prepare, extract, and analyze different data variety of data sources

· Participate in all aspect’s requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data driven solution

· Be able to organize, manage, and analyze varied and large data sets, then connect dots and identify solutions and suggestions that can help our team reach its goals

· Conduct open-ended data exploration to evaluate and solve business/science problem or create new opportunities

· Write and speak about technical concepts to business, technical, and high-level audiences and giving data-driven presentations

· Timely deliveries while working on projects

· Use data science toolkit (Supervised, unsupervised models, reinforcement, and probabilistic machine learning models) & data visualization techniques


· Should have experience of at least 5+ years with Data Science

· Should have a 4+ years’ experience in Python

· Should have experience in pandas, numpy, sklearn, pyspark, tensorflow, keras etc.

· Should have hands-on experience with one of Tableau, Power BI, Redash, Plotly etc.

· Should have hand-on experience working on Cloud (AWS/Azure/GCP)

· Should have hand-on experience working on data bases - structured, semi-structured and unstructured

· Should have Basic Knowledge of CI/CD Pipeline

· Should have excellent communication and written skills

· Sound familiarity in Versioning tools (Git, SVN etc.)

· Experience Mentoring students is desirables

· Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain.

· Open minded approach to explore multiple algorithms to design optimal solution.

· History of contribution to articles/blogs/whitepapers etc. in Analytics

· History of contribution to Open Source e.g., contributed to sklearn, pandas etc.


· Bachelor's Degree in Engineering or Master’s degree in mathematics or Statistics

· Python programming knowledge

· Hands on experience on Machine Learning or Deep Learning projects or products

· Excellent time-management skills

· Outstanding interpersonal skills, excellent problem-solving skills, self-motivation


· Python, Git

Data Science, AI, ML, Python
BI, Cloud

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