Principal Data Scientist

Job Responsibilities: 

1. Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and  comprehend 

2. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily  or periodic basis, contingent on the requirements of the project 

3. Able to contribute meaningfully to brainstorming discussions around nuances of the project 

4. Skilled in Machine Learning and Generative AI Algorithms (Prompting, RAG, Agents, LLMs etc) 

5. Practical Experience and knowledge in AI Cloud Services (Azure, AWS, GCP etc.) 

6. Good Knowledge on Natural Knowledge Processing, Verbatim Analysis & Speech to Text / vice versa using few alternate  approaches / techniques 

7. Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project 

8. Comfortable in representing the proceedings and/or findings in a power-point 

9. Comfortable in mentoring junior resources, and creating an environment of learning in the team 

10. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies 

11. Develop and define an area of expertise and take relevant trainings on the same for the organization 

12. Contribute to org level activities, such as taking interviews 

13. Work with team to estimate work effort 

14. Understand the work methodology and be an active participant in strengthening the team 

15. Liaising with coworkers and clients on several projects 

16. Commitment to learning and continuous improvement 

17. The candidate should be able to work under tight timelines with minimal supervision 

Technical Competencies Required: 

• Comfortable at solution design and storyboarding 
• Machine Learning Algorithms - Primary & Mandate 
• Generative AI Algorithms Primary and Mandate 
• Python Primary & Mandate • SQL, PowerPoint & Excel - (good to have) 
• PySpark, Scala is a plus

. Familiarity with Deep Learning models, Bigdata environments – Hadoop, Hive, etc., and Cloud – AWS /  Azure / GCP 

EXPERTISE AND QUALIFICATIONS Experience: 8 to 10 Years 

Location: Bengaluru - Hybrid 

Must Have: Python, Gen AI, LLM, RAG  

Good to Have: Statistics, Machine Learning 

Educational Qualification: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other  quantitative discipline.