Who Our Client Is

Our client is a purpose-driven organization focused on helping companies improve employee experience and workplace culture through data, analytics, and innovative technology solutions. They are building the next generation of AI-powered tools that help leaders make smarter, more informed decisions.

What Our Client Needs

Our client is seeking a Senior AI Data Scientist to help design and deliver intelligent AI-driven products that support workplace decision-making. This role is ideal for someone who combines strong Python and applied AI expertise with a product mindset and a passion for building production-ready generative AI solutions.

Who You Are

You are an AI-native data scientist who enjoys solving complex problems and turning ambiguity into practical solutions. You think in terms of models, agents, reasoning systems, and intelligent workflows. You communicate clearly, work collaboratively across teams, and take ownership from concept through production.

What You’ll Do

In this role, you will help shape AI-powered products and decision-support systems.

• Design and deliver AI-powered advisors, assistants, and analytic agents
• Build and maintain production-ready Python services supporting AI applications
• Apply and fine-tune large language models including OpenAI, Gemini, and Claude
• Develop agentic AI systems using frameworks such as CrewAI, LangChain, or Autogen
• Design and evolve retrieval-augmented generation (RAG) pipelines and knowledge-based systems
• Test and optimize prompting strategies, agent behaviors, and reasoning workflows
• Enable conversational analytics and natural language exploration of complex data
• Partner with product managers, engineers, and researchers to deliver scalable AI features
• Translate emerging AI technologies into practical product innovation
• Communicate AI concepts, tradeoffs, and insights to technical and non-technical stakeholders

This is a remote role available in approved U.S. states. Occasional travel or in-person collaboration opportunities may be available. This position does not include direct supervisory responsibilities.

What You’ll Need

• 5+ years of experience in applied AI, machine learning, or data science
• Strong Python expertise with experience building production AI or data services
• Hands-on experience with LLM APIs and generative AI platforms
• Deep understanding of prompt engineering and multi-step reasoning workflows
• Experience with agentic AI concepts including planning, memory, and tool invocation
• Experience designing and implementing RAG architectures and vector search solutions
• Familiarity with AI agent frameworks such as CrewAI, LangChain, or Autogen
• Experience delivering production-quality AI systems with testing and monitoring practices
• Strong communication and collaboration skills
• Ability to thrive in fast-moving and ambiguous environments
• Experience with SaaS or enterprise AI products preferred
• Familiarity with vector databases such as Pinecone, Weaviate, or Chroma preferred
• Experience with cloud platforms and containerized deployment tools preferred
• Interest in employee experience, organizational analytics, or HR technology preferred

What They Offer

• Competitive salary and bonus eligibility (175k - 195k base salary)
• Remote work flexibility
• PTO including holidays, vacation, sick time, and floating holidays
• Medical coverage support
• 401(k) participation options
• Training, education, and professional development opportunities
• Access to professional coaching
• Tuition reimbursement program
• Opportunity to work for a purpose-driven organization using business as a force for good

Equal Opportunity Statement

Our client believes that diversity fuels innovation, strengthens teams, and drives success. They are committed to fostering a workplace where every individual—regardless of background—feels valued, respected, and empowered to thrive. Discrimination or harassment of any kind is strictly prohibited.

Our client does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ethnicity, age, disability, veteran status, marital status, or any other characteristic protected by applicable laws. Their commitment extends beyond compliance; they actively cultivate an inclusive culture where diverse perspectives are welcomed, and every employee has an equal opportunity to contribute and succeed.