Data Science Manager | Home Services

Red Ventures • Charlotte, NC

3h • $185,000 - $225,000 • Hybrid

About The Position

This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.
This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.
Red Ventures Home empowers partners through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic client partnerships. We help our clients unlock significant and sustainable growth across the home services ecosystem, ranging from telecom and security to energy and home automation. Our AI Products group is looking for a talented, results-oriented, and innovative Data Science Manager to join our team.
In this role, you will lead a small, high-impact team of data scientists focused on solving meaningful business problems through the development of software products powered by machine learning, generative AI, and optimization techniques. You will partner closely with product managers, engineering, and business stakeholders to deliver data science solutions that support partners in the energy and telecom space within our RV Home business.
This role is well-suited for a hands-on leader who enjoys staying close to the work while scaling impact through others. You will contribute technically where it matters most, while also providing direction, prioritization, and clarity for your team in an environment that values experimentation, measurement, and continuous improvement. Your work will have a visible impact on real customer and partner outcomes—and on the business’s bottom line.
We welcome candidates from different backgrounds and believe that diverse, inclusive teams build better products.

Requirements

• Bachelors Degree’s + 8 years of experience OR Master's Degree + 6 years of experience OR PhD + 4 years of experience
• A proven track record delivering production data science solutions using machine learning and/or generative AI.
• Experience working with LLM-based systems, including familiarity with frameworks such as LangChain, LangGraph, OpenAI Agents SDK or similar orchestration tools.
• Solid understanding of the ML lifecycle and MLOps concepts, including deployment, monitoring, and iteration in production environments (e.g., experiment tracking, feature or prompt versioning, CI/CD pipelines, model monitoring, and tools such as LangSmith, MLflow, or similar platforms).
• Strong business acumen and a genuine interest for real-world business and partner problems, with the ability to translate open-ended needs into concrete, actionable data science initiatives while maintaining a clear line of sight from technical decisions to customer and business outcomes.
• Comfort operating close to end delivery, balancing technical depth with clear communication and an understanding of how data science solutions fit into the broader product, operational, and business context.
• Prior experience leading or mentoring data scientists, with an interest in growing others while remaining technically engaged.
• Contributing to applied ML solutions that drive customer acquisition, retention, and operational effectiveness, leveraging techniques such as recommendation systems, LLM-driven personalization, and supervised models of customer behavior

Responsibilities

• Lead and support a team of 2+ data scientists, providing technical guidance, clear priorities, and day-to-day execution support.
• Partner with Data Science Product Managers, Engineering, and Product, and Business leadership to shape and deliver data science initiatives aligned with broader organizational strategy.
• Translate ambiguous business and partner problems into well-scoped data science and AI solutions.
• Contribute hands-on to the design, development, deployment, and monitoring of machine learning and generative AI systems.
• Own technical decision-making for your team, including model approaches, tooling, observability, evaluation strategies, and operational best practices.
• Drive a culture of experimentation, measurement, and iteration by defining success metrics and tracking impact over time.
• Represent data science in cross-functional and customer-facing discussions

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees