Product-Focused Data Scientist (LLM Products)

Posted One Month Ago
2 Locations
In-Office or Remote
160K-210K Annually
Senior level
Marketing Tech
The Role
Build LLM-powered research and analysis products for political strategists. Partner with users to shape workflows, define quality standards, design evaluations and LLM-as-judge systems, prototype features, and communicate technical tradeoffs to technical and nontechnical stakeholders. The role requires strong Python, SQL, statistical and machine learning skills, hands-on LLM and embedding experience, product judgment, and comfort with ambiguous problems.
Summary Generated by Built In

About us:
Blue Rose Research builds data and AI tools that help Democrats win elections and advance progressive causes. We forecast races, test ads at scale, and use AI to track what's breaking in the news, then help campaigns respond fast with messages that actually move voters. Our work has guided how hundreds of millions of dollars are spent by the country's top campaigns and progressive organizations. We're a small, mission-driven team of engineers, data scientists, and political strategists who build fast, experiment boldly, and care deeply about using technology for good.

Product-Focused Data Scientist (LLM Products)
The 2028 cycle starts the day after the midterms, and a wide-open Democratic presidential primary will begin almost immediately. With a crowded field and a fragmented media environment, campaigns will need to understand what's reaching and persuading voters faster than ever, and our tools will be at the center of that work from the first days of the primary through the general election.

We're hiring a product-focused data scientist to help build the LLM-powered research and analysis tools behind that effort. You'll co-evolve the product experience along with the models that power it, working with political strategists to turn new AI capabilities into tools that are accurate, well-grounded, and useful. You'll be joining at the start of the cycle, with time to build systems that are ready before the pressure peaks rather than scrambling to catch up.

You will:

  • Spend time with political strategists to understand how they think and what AI can do to improve their work..
  • Translate that work into product decisions: how to structure workflows that involve humans and agents working together. 
  • Help set the bar for rigor on what “good” looks like for an AI system, while staying pragmatic about what a real deadline and a real user actually need.
  • Design evaluations and LLM-as-judge systems that tell us whether an LLM-powered feature is accurate, well-grounded, and useful.
  • Prototype quickly, using coding agents to test ideas before they become product commitments.
  • Communicate findings and tradeoffs clearly to both technical and nontechnical audiences, including in client-facing settings.

Our ideal candidate likely:

  • Has 5+ years of experience as a data scientist or applied statistician, with lots of exposure to shipping features or products, not just producing analyses.
  • Is proficient in Python, SQL, and standard statistical/ML tooling, and comfortable with the mess of real-world data.
  • Has hands-on experience evaluating or building on top of LLMs: designing eval sets, building LLM-as-judge pipelines, and working with embeddings.
  • Has good product instincts. Cares deeply about how the end user is going to interact with the model through the product. 
  • Communicates clearly in writing and in conversation with engineers, product managers, and non-technical stakeholders alike.
  • Is energized by ambiguous problems — translating “help win elections” into a model, a metric, or a product decision, without a clean playbook to follow.
  • Is motivated by Blue Rose Research’s mission and interested in learning the progressive political ecosystem. Prior political or civic-tech experience is welcome but not required.

Join us!

We are a remote-first company with an office in NYC and regular team meetups. We primarily work East Coast hours.

The salary range for this position is $160,000 - $210,000 annually, commensurate with experience.

We offer medical, dental, vision, 401k match, 20 weeks paid parental leave, fertility and family-building support through Maven Clinic, and unlimited PTO.

You don't need to meet every qualification to apply. We welcome applicants from all backgrounds.

Candidates must be authorized to work lawfully in the United States.

Skills Required

  • 5+ years of experience as a data scientist or applied statistician
  • Experience shipping features or products, not only producing analyses
  • Proficiency in Python and SQL
  • Proficiency with standard statistical and machine learning tooling
  • Comfort working with messy real-world data
  • Hands-on experience evaluating or building on top of large language models
  • Experience designing evaluation sets and LLM-as-judge pipelines
  • Experience working with embeddings
  • Strong product instincts and focus on end-user interaction with models
  • Clear written and verbal communication with engineers, product managers, and nontechnical stakeholders
  • Ability to work on ambiguous problems without a predefined playbook
  • Motivation to support Blue Rose Research's progressive political mission
  • Prior political or civic-tech experience
  • Authorization to work lawfully in the United States
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The Company
HQ: New York, NY
34 Employees

What We Do

Blue Rose Research is a project with OpenLabs to develop a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research undergirds short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers. Our team members have a storied history, and have worked with central players to develop strategy and direct hundreds of millions of dollars of resources over the past several electoral cycles. The work produced by the team is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of decorated engineers, PhD data scientists and political insiders who are closely connected to some of the most important decision makers in the progressive ecosystem. Our work ranges from high-dimensional Bayesian modeling to make accurate inferences from polling data to building utility-scale data and analytics infrastructure for the progressive left. Come join us!

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