Education B.Tech./B.E./Master's Degree from reputed institute(s)
Requirements :
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
- 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
- Basic understanding of cloud operations with experience in working on platforms like AWS, Azure(Preferred), GCP
- Experience or understanding of developer tools like Docker, Kubernetes, Git, Ansible, Jenkins among others and
- Familiarity with Linux environment and shell scripting
- Ability to mentor and train junior team members
Roles and Responsibilities :
- Build analytics and engineering workflows 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 in the intersection space of analytics and technology 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
- Develop and maintain process improvement workflows for the platform with hands on exposure to companies internal big data platform
- Work as part of a specialized team focusing on successful project delivery and assisting in troubleshooting
- Advice and implement project best practices for data science and analytics across various engagements
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