- Execute and lead data science & data engineering projects autonomously.
- Have a knack to organize, analyze, synthesize and/or summarize data and information using appropriate analytical methodologies and frameworks
- Develop, maintain and foster strong client relationships and lead client engagements independently
- Lead multiple projects and client assignments ensuring appropriate workflow planning, resource utilization, and quality assurance
- Guide the team in problem solving, developing analytical techniques and frameworks, and the creation of data pipeline and analytics end-products
- Recruit, train, coach and develop data scientists and data engineers.
- Experience in ETL tools like SSIS, Talend; Relational Databases like SQL Server, Oracle, MySQL, PostGRE, MongoDB; experience building data pipelines
- Expert user of Python/R and SQL
- Expertise in predictive analytics, statistical and data mining tools and techniques
- Hands-on experience in handling unstructured data and text analytics and build solutions using Machine Learning(ML) and Natural Language Processing(NLP)
- Basic understanding of Hadoop Ecosystem, Cloud technologies
- Basic understanding of NoSQL databases like MongoDB, Cassandra
- Experience extracting and working with unstructured text data
- Experience in developing machine learning and deep learning models
- Experience in Solution Design and Solution Architecture
- Experience on Big Data tools/ Hadoop Ecosystem, NoSQL databases such as NoSQL, Cassandra highly desirable
- Hands on experience in banking and financial services desirable
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