Data Scientist

Stefanini Group is hiring!

Stefanini is looking for a Data Scientist in San Francisco CA

For quick Apply please reach out to Prakhar Goyal: /

Open for W2 only!

Responsibilities:

• youll be the AI/ML subject matter expert splitting your time between:
• 50% - Consulting with internal teams (economists analysts) to design and implement AI solutions for their use cases
• 25% - Building and maintaining CDPs core AI/ML models and frameworks
• 25% - Providing technical support and troubleshooting for AI/ML systems
• Youll work in a collaborative environment using cutting-edge technologies including Databricks AWS Collibra DataMesh architecture and PySpark to build scalable production-ready AI systems.
• This is a foundational role - youll establish our MLOps practices GenAI frameworks and production AI capabilities from the ground up in a highly regulated Federal environment.

What Youll Bring

• Consulting & Enablement (50%)
• Your number one job will be to help advise economists and business teams on appropriate modeling approaches based on their use cases
• Advise on appropriate modeling approaches for diverse scenarios: RAG/knowledge bases anomaly detection document understanding audit analysis
• Bridge the gap between econometric models (R Stata) and production ML pipelines
• Review and provide feedback on AI/ML architectural proposals
• Train data engineers and business users on AI/ML best practices
• Model Development (25%)
• Build production-ready AI systems for document processing (PDFs XLSX DOCX CSV etc.)
• Develop and deploy 1-2 RAG/knowledge base systems in first year
• Create reusable GenAI frameworks and patterns for the organization
• Implement solutions using AWS AI services (Bedrock SageMaker Textract Databricks etc.)
• Ensure models meet explainability requirements for regulated environments
• MLOps & Support (25%)
• Establish MLOps framework and model deployment patterns
• Troubleshoot model performance issues (accuracy latency cost)
• Act as escalation point for AI/ML technical issues
• Train the Users by providing models and documentation as well as consulting
• Monitor and maintain production models
• Stay current on AI/ML techniques and Federal regulatory requirements
• Help other Support Team members advance their knowledge of Data Science and modeling

Qualifications:

• Your number one job will be to help advise users on appropriate modeling approaches based on their use cases
• Assist users troubleshoot their models for performance issues (both processing time and accuracy)
• Act as third-level support for issues related to AI and ML models
• Develop maintain and improve CDP owned models
• Help other Support Team members advance their knowledge of Data Science and modeling
• Train the Users by providing models and materials to be used for training
• Review CDP architectural design proposals that include the use of AI/Machine Learning/GenAI
• Stay current on modeling techniques and Fed requirements on the use of AI/ML models
• Deep expertise in search information retrieval and ranking systems at scale
• Strong understanding of neural search architectures ML/AI and generative models
• ML model development implementation and evaluation
• Experience in applying LLMs and agentic AI techniques to production systems
• Demonstrated ability to translate technical solutions into business impact
• Excellent cross-team collaboration and communication skills

Minimum Qualifications

• Education: Masters degree in Data Science Statistics Computer Science Mathematics or related quantitative field
• Experience: 4 years in data science ML engineering or AI development roles
• Production ML: Proven track record building and deploying ML/AI models in production environments
• Programming: Strong Python proficiency; experience with SQL and at least one statistical language (R Stata Matlab Sparkly R)
• ML Frameworks: Hands-on experience with modern ML frameworks (scikit-learn TensorFlow PyTorch Hugging Face)
• Generative AI: Practical experience with LLMs RAG architectures and prompt engineering
• Document AI: Experience processing and extracting insights from unstructured documents at scale
• Cloud Platforms: Working knowledge of AWS AI/ML services (SageMaker Bedrock preferred)
• Communication: Ability to explain complex AI concepts to non-technical stakeholders and translate business problems into technical solutions
• Tooling: Experience working with our tech stack Databricks AWS AI/ML tools Starburst is preferred

Listed salary ranges may vary based on experience qualifications and local market. Also some positions may include bonuses or other incentives

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group:

The Stefanini Group is a global provider of offshore onshore and near shore outsourcing IT digital consulting systems integration application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas Europe Africa and Asia and more than four hundred clients across a broad spectrum of markets including financial services manufacturing telecommunications chemical services technology public sector and utilities. Stefanini is a CMM level 5 IT consulting company with a global presence. We are CMM Level 5 company.

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