Data Analytics Architect / Senior Data Scientist

Roles and responsibilities

• Understand business requirements for the given Data Analytics project and build high-quality data processing/transformation programs.
• Perform Data profiling and produce an outcome in business terms.
• Do data story telling bringing out top insights from the given data.
• Write complex logics in python programs and construct complex SQLs for achieving the required business logics
• Create optimization algorithm, ML models at ease.
• Architect and draw data flow diagrams for complex data transformations
• Speak with customers and prospects in high degree of technical depth and bring trust
• Design, develop and optimise the program by analysing bottlenecks and resolving those in a timely
• Proactively surface the challenges or data quality issues and work to resolve the same in the right way
• To contribute as an individual contributor as well as module lead with a very high degree of commitment and integrity.
• Bring innovation in every step. Follow test-driven development.
• Ability to make effective communication within the team and with the customers.

Skills and experience

• Highly skilled in Python (Pandas, Ray, Arrow).
• Analytical problem solving skills.
• Highly skilled in Advanced SQL
• Stong in Data modelling and Dimensional Modelling
• Experience working in cloud based solutions
• Very strong in both row level and bulk data processing approaches
• Ability to arrive at design quickly without any external support

Added Advantage for the right candidate

• Understand challenge statements quickly
• Exceptional Customer handling
• Ability to do detailed EDA and Feature Engineering
• Ability to work with Geo Special data
• Ability to explain ML programs (Clustering, Regression, Classification)
• Has certification/Master’s degree in relevant area.

Eligibility

• Minimum of Bachelors degree.
• 5+ Years of relevant experience
• 5 – 15 years of overall experience.
• Certification or advanced courses in ML/Cloud/NN