Senior Data Scientist - Manager

Work you will do.

Technology:

· Deliver exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies

· Interfacing with business customers and leadership to gather requirements and deliver complete Data Engineering, Data Warehousing, and BI solutions.

· Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms.

· Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)

· Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.

· Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management.

· Demonstrate effective communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients.

· Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team.

· Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality.

Leadership:

· Develop high-performing teams by providing challenging and meaningful opportunities, and acknowledge their contributions to the organization's success.

· Establish the team's strategy and roadmap, prioritizing initiatives based on their broader business impact.

· Demonstrate leadership in guiding both US and USI teams to deliver advanced technical solutions across the GPS practice.

· Serve as a role model for junior practitioners, inspiring action and fostering positive behaviors.

· Pursue new and challenging initiatives that have a positive impact on our Practice and our personnel.

· Establish a reputation as a Deloitte expert and be acknowledged as a role model and senior member by client teams.

· Support and participate in the recognition and reward of junior team members.

People Development:

· Actively seek, provide, and respond to constructive feedback.

· Offer development guidance to the GSi team, enhancing their people, leadership, and client management skills.

· Play a pivotal role in recruitment and the onboarding of new hires.

· Engage in formal performance assessment activities for assigned staff and collaborate with Practice leadership to address and resolve performance issues.

· Serve as an effective coach by helping counselees identify their strengths and opportunities to capitalize on them.

· Foster a "One Team" mindset among US and USI team members.

Qualifications:

Required/Preferred:

· Bachelor's degree, preferably in Management Information Systems, Computer Science, Software Engineering, or related IT discipline

· Minimum of 10+ years of relevant experience with data science technologies and analytics advisory or consulting firms.

· Strong knowledge of LLMs and RAG.

· Familiarity with AWS, Databricks, and/or Dataiku platforms.

· Working knowledge of MLOps, including familiarity with containerization (e.g., Docker).

· Excellent troubleshooting skills and the ability to work independently.

· Strong organizational skills, including clear documentation of projects and ability to write clean code.

· Familiarity with agile project methodology and/or project development lifecycle.

· Experience with GitHub for version control.

· Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences.

· Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.

· Extensive experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., Sage Maker Pipelines, Step Functions, Metaflow, etc.).

· Extensive experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).

· Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).

· Proficiency in basic front-end web development (e.g., Streamlit).

· Knowledge of Object-Oriented Programming (OOP) concepts.

· At least 3-4 years of people management skills are required.

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Work Location: Hyderabad

Timings: 2 PM – 11PM