Senior Data Scientist | Growth & Transformation

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. This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Fridays each week. RVGT, a Red Ventures company, 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 and financial services ecosystems, ranging from telecommunications and deregulated energy to credit cards and deposits. As a Red Ventures company, we have more than 20 years of experience building strategic, long-standing relationships with some of the world’s most powerful brands across industries like financial services, retail, real estate, and entertainment. We believe the next phase of advantage will come from integrated operating systems that connect decisioning, execution, intelligence, and governance into a shared foundation that improves over time. RVGT is investing in that future through our Growth Operating System, a set of reusable workflows, agents, context layers, and governance mechanisms designed to help our teams and our partners drive growth more efficiently, more intelligently, and at greater scale. Our Data Science team is looking for a Senior Data Scientist to build and own ML and AI solutions for our partners in broadband and telecommunications. Our work spans call routing and prioritization, landing page and buy-flow personalization, propensity modeling, and LLM agents that support sales and service conversations. This is a hands-on individual contributor role. You'll design, build and evaluate solutions yourself, with a particular focus on agents and on proving they work. You'll also be someone we trust in front of clients: walking a partner through how a model works, what the results mean and what we recommend next. What You'll Do • Build and own ML/AI solutions end to end in production, from problem framing through deployment, monitoring and iteration • Build LLM agents and agentic workflows, from prompt and tool design through orchestration, deployment and monitoring • Design the evaluations that show whether a model or agent works: offline test sets, automated graders checked against human labels, regression suites that run before every release, and online experiments that tie output quality to business outcomes • Apply traditional ML (classification, regression, clustering, optimization, experimentation) where it fits, and LLM-based approaches where they add value • Build and maintain production-grade code bases with engineering partners, including testing, CI/CD and monitoring • Work directly with clients and partner teams to scope problems, present results and recommend next steps, including when a simpler solution is good enough to ship • Act as a technical resource for junior and mid-level data scientists through code review, pairing and help with problem framing • Use agentic tools such as Claude Code to automate repeatable parts of your own work and the team's What We're Looking For • Degree and years of experience: Bachelors Degree’s + 6 years of experience OR Master's Degree + 4 years of experience OR PhD + 2 years of experience • A track record of building and owning ML solutions in production end to end, including at least one complex solution that ran over several months • Experience building LLM agents or agentic workflows, in a product or to automate your own work, using frameworks such as LangGraph or the Claude Agent SDK, or model APIs from OpenAI, Anthropic or similar • Experience designing evaluations for ML or LLM systems: building test sets, choosing metrics that reflect what the business cares about, validating automated graders against human judgment, and catching regressions before they ship • A strong foundation in traditional ML techniques such as classification, regression, clustering and optimization, including their limitations and how to evaluate them with appropriate statistical rigor • Experience presenting technical work directly to clients or senior stakeholders, including explaining the trade-off between model performance and business value and when a simpler approach is the right call • Expert-level Python and SQL, and proficiency in model deployment and ML operations (version control, CI/CD, unit testing, job orchestration, containers) • Experience mentoring other data scientists through code review, pairing or project guidance • Experience with Databricks, MLflow or AWS is a plus; experience with call center, telecom or marketplace data is a bonus • Experience shaping a product or data science roadmap with product partners: identifying where ML can create the most value, proposing what to build next, and getting stakeholder buy-in • Understanding of how the business makes money, which KPIs matter, and how an AI/ML solution moves them Who Thrives Here The people who do best in this role do excellent technical work and can stand behind it in a client meeting. When a partner asks whether something works, they show the evaluation instead of asking for trust. They know when a model is good enough to ship, and they can explain that call in business terms. When they catch themselves doing a task by hand for the third time, they build an agent or workflow that does it for them. Along the way, they make the data scientists around them better. Compensation: Total Cash Compensation Range: $155,000 – $200,000 per year Actual compensation varies based on location, experience, and qualifications. 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 Disabilit