Chief Data Scientist

Role: Senior Data Scientist - COE

Required Technical Skill Set: Consulting, Experience in Data Model, Analytics workspace, Gen AI, Video Analytics

Desired Experience Range: 15+

Location of Requirement: India

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams
• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Analyzing large amounts of information to find patterns and solutions
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Carrying out preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Selecting features, building and optimizing classifiers using machine learning techniques
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Good-to-Have

• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense

Role descriptions / Expectations from the Role

1 Technical consulting for Hyperscalar/IoT Platform based projects

2 Build frameworks that can help delivery teams to standardize code, improve the quality of their deliverables and reduce development time

3 Lead discussions with clients as well as various teams in TCS to articulate client requirements, AWS/IoT Platform solution for the requirement and review to ensure quality of delivery

4 Develop models and prototypes on new concepts to make customers & solution/delivery teams to understand and get an idea of how to fit the concept in their environment

5 Create guidelines & recommendations in the areas of Design, Architecture, Data management, NFRs, etc. that can enable solution/delivery teams to meet industry standards

6 Work with larger part of IoT organization in responding to proposals, addressing technology challenges and technology know-how

7 Involve in consulting assignments to understand customer business needs with respect to IoT, identify opportunities and propose solutions