Senior Manager Data Scientist

Greetings from Sutherland!

The Sr. Manager / Manager Data Science at Sutherland would play a very vital role in analysing the data from various sources and providing insights that can help in driving performance in the right direction. The position would employ mathematical and statistical methods to analyse various forms of data (like data from Analytics tools, monitoring data, surveys, KPI data, etc.) and will recommend solutions or changes to processes and procedures to help improve performance.

Job Description

• Collect data from various sources like Analytics tools, CRM, Survey, Monitoring, etc.
• Thoroughly clean and prune data to discard irrelevant information
• Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
• Conduct undirected research and frame open-ended industry questions.
• Employ sophisticated analytics tools and statistical methods to build efficient descriptive, diagnostic, and predictive models like trends, RCA of opportunities, prediction of KPIs, and employee behaviour like attrition.
• Prescribing solutions, process changes, employee profiling, training / coaching needs, etc.
• Devise data-driven solutions for the business challenges
• Communicate predictions and findings to management through effective data visualizations, reports and presentations
• Measure the effectiveness of actions like training, coaching, etc.
• Recommend cost-effective changes to existing procedures and strategies
• Work in a collaborative manner with stakeholders Managers and Supervisors in various departments to collect data and implement changes that are required.
• Keep the Management updated about the Transformational initiatives and their effectiveness

Qualifications

• Graduate / Postgraduate in Science / Mathematics / Statistics / Engineering
• 10+ years of overall experience in IT/ ITES industry supporting clients from different verticals
• Strong analytical ability with good knowledge of data mining, data visualization and statistical tools and methods
• Ability to build effective models for data analysis and analytics
• Excellent Project management skills with ability to create and execute action plans while working with multiple stakeholders
• Effective communicator with experience in interacting with stakeholders internally and externally
• Experience with Digital tools and Transformation technology