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02/08 Hiral Shah
Branch Manager at Pylon Management Consulting

Views:487 Applications:138 Rec. Actions:Recruiter Actions:54

Senior Consultant - Data Scientist - Big Data Platform (4-7 yrs)

Mumbai Job Code: 958646

Education B.Tech./B.E./Masters Degree from reputed institute(s)

Required Skills:

- Successful candidates will have demonstrated the following skills and characteristics:

- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale

- Prior experience of having worked in consulting/product/analytics environment

- Ability to work with various data sources and experience with big data technologies (Hadoop, Hive, PySpark) and knowledge of distributed systems for computing and data storage

- Should have experience working on Python, R, Pyspark, Spark and good to have experience in building Statistical, Machine learning and AI models

- Team player and demonstrated ability to work effectively across various internal organizations and international teams

- Ability to mentor and train a team of 3-4 junior members

Roles and Responsibilities:

- Build analytics products/accelerators using a variety of big data technologies and analytics tools as required by stakeholders and create robust documentation of solutions, underlying design decisions and operating procedures

- Work on several large scale datasets(e.g. internal client data, external public data, and new sources of data) and drive analytics path to align with overall project objective, develop and execute analytical module development on big data platform

- Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions

- Required to meet tight deadlines and manage multiple competing priorities; ability to work independently and navigate through ambiguous requirements

- Manage the continuous improvement of data science and machine learning by following industry best practices

Women-friendly workplace:

Maternity and Paternity Benefits

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