Data Scientist | AI Products

The AI Products team is looking for a Data Scientist to help build the next generation of generative AI solutions for our Home Services partners in the utilities and telecommunications sectors. This is a hands-on role focused on developing and scaling LLM-powered product features using modern frameworks and deployment practices. You’ll work closely with other data scientists, engineers, and product managers to bring reusable, production-grade AI systems to life.

We believe diverse, inclusive teams are better teams. If you don't have all the qualifications, we encourage you to join our talent community here.

What You’ll Do:

• Build and deploy LLM-based applications using tools like LangChain and LangGraph
• Own individual components or workflows of AI products used by multiple external clients.
• Develop, test, and maintain production-ready code using best practices in version control, modular design, and CI/CD workflows.
• Collaborate cross-functionally to integrate models and chains into real-world systems.
• Participate in prompt design, evaluation, and iteration to improve output quality and robustness.
• Contribute to shared internal tooling, templates, and documentation where applicable.
• Apply traditional ML techniques (e.g., classification, clustering) when appropriate to complement generative AI use cases.

What We’re Looking For:

• 1+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in computer science, machine learning, statistical modeling, or optimization, OR 3-5 years of professional experience in a data science or machine learning role, ideally with exposure to LLMs or NLP
• Proficiency in Python and practical use of version control, testing, and basic CI/CD tools
• Experience with LLM frameworks (e.g., LangChain, LangSmith, or similar)
• Familiarity with OpenAI, Anthropic, or or other foundational model APIs
• Experience working in collaborative, cross-functional teams to build and deliver AI applications
• Experience working in cloud environments (AWS preferred), as well as with data and machine learning platforms such as Databricks, MLflow, or similar tools
• Independently own a moderate-scope ML/AI solution in production
• Experience participating in PR reviews and problem framing for more junior data scientists
• A strong product mindset and an eagerness to learn and grow within a fast-evolving space

Compensation

National Compensation Range: $127,000 - 140,000

New York Compensation Range: $127,000 - 170,000

*Note actual salary is based on geographic location, qualifications, and experience. 

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Paid Time Off
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program

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Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.