Job/Position Summary

Responsibilities:

• 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

Must Have Skills:

• 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)

 Good To Have Skills:

• 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

Requirement

ESSENTIAL SKILLS /COMPETENCIES

• Data Science
• Python
• Tableau
• Power BI
• Cloud (AWS/Azure/GCP)