Data Scientist, Principal - AI Product Engineering

Milwaukee Succeeds; Oakland, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Milwaukee Succeeds is seeking a Principal Data Scientist for AI Product Engineering to lead end-to-end AI feature development across multiple partner teams.

You will build and deploy production-grade AI products, including LLM-powered applications, agents, and retrieval-augmented generation, while guiding technical direction for enterprise AI initiatives.

Qualifications

• Bachelor's degree in computer science or quantitative discipline (or equivalent practical experience).
• 10 years of data science / ML / applied AI experience.
• Proven track record shipping software products rapidly, beyond models or analyses.
• Strong Python skills with API/backend service experience.
• Experience with ML deployment, data processing, and ML frameworks.

Responsibilities

• Lead development and deployment of novel AI applications leveraging generative models.
• Translate cutting-edge AI research into real-world products from 0 to 1.
• Design, build, and ship production-grade AI products including LLM-powered apps, agents, and RAG.

Skills

Python

APIs

Backend services

PyTorch

TensorFlow

LangChain

LangGraph

Generative AI

MLOps

LLMOps

Cloud platforms

CI/CD

Education

Bachelor's degree in computer science or quantitative field

Master's degree or PhD preferred

Job description

Data Scientist, Principal - AI Product Engineering

Oakland , CA / Seattle , WA / Columbus , OH / Washington , DC / Long Beach , CA / Phoenix , AZ / Denver , CO / Hartford , CT / Miami , FL / Atlanta , GA / Baltimore , MD / Minneapolis , MN / Las Vegas , NV / Portland , OR / El Dorado Hills , CA / San Diego , CA / Woodland Hills , CA / Huntsville , AL / Chicago , IL / Virginia Beach , VA / Milwaukee , WI / Houston , TX / New York , NY ...View All
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The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience; Master's degree or PhD preferred
• 10 years of prior relevant experience in data science, machine learning, applied AI/ML, software engineering, or advanced analytics
• Proven track record of building and shipping software products rapidly, not just developing models or analyses
• Strong software engineering skills and proficiency in Python, including building APIs and backend services
• Experience leading ML design and optimizing ML infrastructure, model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
• Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
• Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG)
• Experience with generative AI research or applications preferred
• Experience designing agent-based systems and orchestration frameworks preferred
• Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred
• Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred
• Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities preferred
• Understanding of responsible AI and governance for regulated or healthcare environments preferred

Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.