Data Scientist II
About The Position
Ready to revolutionize the future of Gen AI and data-driven decision-making? Join our pioneering Data Science team as we embark on an exciting journey to unlock insights, drive innovation, and shape the landscape of our organization’s success. If you’re passionate about leveraging cutting-edge Generative AI technologies, transforming raw data into actionable intelligence, and building scalable agentic systems that augment human workflows, we want you on our team. As a Data Scientist II – Generative AI, you will lead advanced analytics and agent development projects, leveraging Azure and Microsoft data services alongside modern Gen AI frameworks. You’ll combine deep data science expertise, hands-on machine learning experience, and an innovative mindset to create intelligent agents, elevate productivity, and deliver measurable business outcomes.
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields.
- 5+ years of experience in applied ML, AI development, or advanced data science roles.
- Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Gen AI systems.
- Proficiency in Python and Gen AI frameworks
- Strong understanding of agent orchestration frameworks (LangGraph, LangChain, AutoGPT, or equivalent).
- Demonstrated expertise in benchmarking, A/B testing, and model monitoring for AI systems.
- Experience developing and maintaining prompt engineering standards and frameworks.
- Ability to evaluate and optimize model performance across different LLMs and architectures.
- Strong communication and collaboration skills across product, engineering, and business teams.
- Proven track record of mentoring team members and driving innovation in AI workflows.
Nice To Haves
- Familiarity with internal experimentation, observability, or AI governance tools is a plus.
- Contributions to open-source projects, research publications, or AI community initiatives is a plus.
Responsibilities
- Design and implement Gen AI–powered agents that solve real business challenges and streamline internal workflows.
- Extend and optimize the internal agent evaluation framework to ensure reliable, high-performing, and explainable agents.
- Build benchmarking and monitoring systems to assess orchestration strategies and model performance in production.
- Conduct experiments to evaluate the impact of model or architecture changes, balancing performance, cost, and scalability.
- Build on existing prompt engineering frameworks to standardize best practices and eliminate “prompt debt.”
- Move beyond chatbots to create ambient, context-aware agents that boost efficiency and unlock new productivity avenues.
- Collaborate with engineering teams to advance the internal agentic platform, focusing on orchestration, observability, and optimization.
- Mentor and guide junior data scientists and software engineers on Gen AI techniques and frameworks.
- Partner with product managers to assess technical feasibility, estimate level of effort (LoE), and prioritize development initiatives.
- Bring innovative ideas to evolve agentic architecture and continuously advance internal AI capabilities.
- Communicate complex AI concepts effectively to non-technical stakeholders, supporting organizational learning and adoption.
- Lead roadshows and demos to advocate for Gen AI tools and drive cultural change across the enterprise.
Benefits
- group health insurance benefits (medical, vision, dental)
- FSA and HSA healthcare accounts
- life and accident insurance
- adoption and fertility assistance
- paid parental leave of up to 6 weeks
- short/long term disability
- paid time off for vacation, personal needs, and sick time
- opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
