Primary Responsibilities:

• Work on complex and extremely diverse data sets to solve real world problems.
• Write highly optimized code to deliver scalable data science solutions for our client’s problems.
• Work seamlessly in a collaborative environment with specialists in machine learning, engineering, and design.
• Create efficient steady state inference generation pipelines using best practices of MLOps.
• Add real-world impact to your data science expertise and develop story boards for explaining business benefits of data science outputs to business users.
• Work with data science teams of large organizations, understand their methodologies and create solutions which works well with their frameworks.

Job Requirements:

• Minimum 5 years’ experience of end-to-end data science implementations.
• Excellent knowledge of SQL (any database) is a must.
• Familiarity with statistical, data-mining, and exploratory data analysis techniques.
• Strong knowledge of programming languages, with a focus on machine learning and advanced analytics (such as R, Python, and Scala).
• Experience working with large data sets which include relational databases, streaming data, object data and unstructured data.
• Good team player with the ability to communicate complex ideas effectively to both colleagues and clients.
• Excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly and optimally.
• Excellent knowledge of ML ops and Data science deployment pipelines.
• Knowledge of big data concepts Data Lakes and Data warehousing is highly desirable.
• Knowledge of visualization tools like Power BI/Tableau will be an added advantage.
• Excellent written and verbal communication skills.

Qualifications:

• B.E. / B.Tech (Computer Science, Information systems, IT).
• MCA/MCS.