Toggle navigation

  • Data Science Business consultant head

Experience Range 15 - 20 Years
Open

Skills machine TL Net Learning
Job Description
About Us
EVRY India and EVRY USA are wholly owned subsidiaries of TietoEVRY, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. TietoEVRY employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. TietoEVRY serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, TietoEVRY leverages USA and India operations to compete locally as well as globally.
Roles and Responsibility

JD – DATA Science Practice Head (Director/Associate Director)

 

This position is part Tietoevry Digital Innovation team to lead data science practice. He/she will be responsible for helping organization leverage on data, working with and through a team of data scientists and engineers to provide valuable direction and insight, for management to make informed decisions.

At least 5 to 10 years of experience in Data Science working on enterprise projects using open-source technologies. Seasoned thought leader with problem solving and critical thinking ability.

 

Qualification

Education: BE/B.TECH/ME/M.TECH//MS (from reputed institute) with computer science /Mathematics and Statistics

Years of Experience: 15+ Years

 

Responsibilities:

 

•         Lead and grow a team of data scientists in scale with business demands

•         Creating Strategy and roadmap for data driven solutions and transformation for customers

•         Responsible for communicating analytics model behavior/results to business and customers and influencing revenue growth targets

•         Creating culture of innovation, competency development and determining best practices

•         Responsible for carrying out technical risk analysis and reliability assessments

•         Responsible for performing complex analyses, including optimization, text analytics, machine learning, social-science modeling, and advance statistical analysis, parametric and non-parametric statistical models and technique

 

Leadership:

•         Client/Stakeholder Management experience with customers in diverse industry verticals/domains

•         Collaboration with business units across the organization to identify and refine opportunities for data-driven features.

•         Able to create strategy and roadmap for Data Science Team, drive value through the utilization of its data assets and analytics offerings

•         Identify opportunities to extract value from datasets to produce innovative solutions and solve focused analytical problems; develop a data strategy and roadmap

•         Apply strong understanding of data science techniques and libraries to business problems