You will have the opportunity to develop data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.

Your Role

• Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
• Participate in development of data and analytic infrastructure for product development
• Collaborate with the Product dev teams to understand tech requirements for new products
• Participate in identification and evaluation of data elements to deliver analytics for product development
• Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
• Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Work with small, cross-functional teams to define vision, establish team culture and processes
• Consistently focus on key drivers of organization value and prioritize operational activities accordingly
• Identify and act upon product improvement opportunities
• Aggregate and collate client data sets and conduct data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights
• Clean and structure data sets fed to downstream analytics
• Escalate technical errors or bugs detected in project work