Data Scientist

We have multiple positions open for Data Scientist at different levels -

• Level III – 6+ years
• Level IV – 8+ years

Applicable Work Locations are – Bengaluru / Chennai (these are Hybrid roles)

• Seeking a Data Scientist for GADS (Global Analytics & Data Science) team who is enthusiastic about problem-solving, adept at generating actionable insights from data through deep dive analysis.
• Become a domain expert in business unit space and conduct rigorous data analysis to drive meaningful financial benefit for Client without jeopardizing customer experience.
• Challenge the status quo, and drive data backed decision making.
• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features.
• Identify key metrics, conduct rigorous exploration data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
• Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization.
• Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
• Define and cultivate best practices in analytics instrumentation and experimentation Support multiple projects at the same time in a fast-paced, results-oriented environment

Responsibilities:

• Become a domain expert and conduct rigorous data analysis to drive meaningful financial benefit for clients without jeopardizing customer experience.
• Challenge the status quo, and drive data backed decision making. Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features.
• Identify key metrics, conduct rigorous exploitative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
• Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization.
• Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment

Requirements

• At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• B.S. in a quantitative field, advanced degrees preferred
• Experience with a statistical programming language like Python or R.
• Comfortable working with large, complex, and potentially messy datasets Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
• Fluent in SQL and Excel, and visualization tools such as Tableau or Looker;
• Exceptional communication skills - both written and verbal, strong interpersonal skills and experience leading cross-functional teams
• Strong organizational, multi-tasking, and prioritizing skills, sets and meets deadlines A passion for problem-solving and comfort with ambiguity

Must have skills are -

Analytics Experience, SQL and Data virtualization (tableau, looker, etc.) with statistical (Python/R).