Job Description

Role Summary


The Data Scientist will be responsible for developing data driven insights and innovations within the Sidekick product focusing on analytics dashboarding and Generative AI research and development


Responsibilities


Develop and maintain data analytics and dashboards for the Sidekick product providing key insights to stakeholders


Conduct research and development in Generative AI to improve Sidekick features and functionality


Analyze large datasets to identify trends patterns and opportunities for improvement


Collaborate with product and engineering teams to translate insights into actionable strategies


Develop and implement machine learning models to support Sidekicks capabilities


Skills


R Shiny R programming Dashboarding AI Development


7to 10 years experience in data science with a focus on analytics and model development


Experience in programming skills such as Python including experience with relevant libraries eg pandas scikit learn TensorFlow PyTorch


Experience with data visualization tools


Experience with machine learning and Generative AI techniques

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.