Roles & Responsibilities :-
The Senior Data Scientist owns the ML part of the solutions delivered to clients. The role requires the individual to bring together data science knowledge and business understanding to solve real world business problems and work in a collaborative team environment. Proficiency in verbal and written communication skills in English is important. Candidate should be research oriented and passionate to learn new technologies and adapt.
An ideal candidate will be/have:
- Designed, developed and delivered multiple machine learning projects including implementation in production
- Worked on a variety of Data Science projects
- Experience converting a business problem into a Data Science problem
- Strong grasp of ML and Time Series fundamentals and their applications in business
- Proficiency in Python (including pandas/scikit-learn)
- Experience in leading or guiding a team of data scientists/ML engineers
- Familiarity with relational databases and intermediate level knowledge of SQL
- A team player who can deliver under pressure
- An eye for detail, quick learner and can think out of the box
- Familiarity with cloud platforms
- Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, etc. is a plus
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