Job description

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. The Home Data Science team is looking for an Associate Data Scientist to join our growing applied ML practice. This is a role for someone who wants to move fast, learn from strong technical mentors, and own real work from the start. You'll contribute to ML and AI solutions that drive measurable business outcomes across our Home Services partners, including work in telecommunications. You'll be embedded in a collaborative team that values technical depth, clear thinking, and getting things across the finish line. Expect hands-on work, direct feedback, and genuine investment in your development. 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. Curious how Home fits into Red Ventures? Click here . What You’ll Do: Contribute to the development and deployment of ML/AI solutions in production environments, with a focus on building reliable, well-tested code Work across the full data lifecycle, from pulling and cleaning data to building models and tracking their downstream impact Take solutions built by our platform teams and deliver them customized to individual clients and partners Collaborate with data scientists, engineers, and business stakeholders to understand problem context and translate it into well-scoped data science work Communicate progress, risks, and results clearly to both technical and non-technical audiences Participate in code reviews and pair programming sessions that meet team development standards Build working knowledge of key business KPIs and how model outputs connect to them Take on clearly scoped tickets and small projects independently, escalating blockers early Develop proficiency across common ML techniques, model deployment practices, and the tools and platforms the team uses day-to-day What We’re Looking For: Master's degree in a quantitative field (Computer Science, Statistics, Economics, Mathematics, or similar) OR Bachelor's degree 1-2 years professional experience Foundational understanding of core data science techniques such as classification, regression, clustering, and when to apply each Proficiency in Python and SQL Experience with Generative AI tools such as Claude Code, Codex, or Cursor, Gemini, Langchain, Mastra, Open AI or similar tools. Familiarity with model deployment and ML operations concepts, including version control, CI/CD, and job orchestration Analytical instincts for exploratory data analysis and an ability to assess both technical model performance and its business impact A collaborative working style with genuine curiosity about how the business works and what drives value Prior internship, research, or project experience applying ML to real-world problems is a strong plus; experience with Databricks or cloud platforms (AWS) is a bonus Compensation: Total Cash Compensation Range: $100,000 – $115,000 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 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. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements . This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here . At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there! #LI Click here for more details regarding the employee privacy policy: redventures.com 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.

Requirements

Must-haves

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.
You'll be embedded in a collaborative team that values technical depth, clear thinking, and getting things across the finish line. Expect hands-on work, direct feedback, and genuine investment in your development.
Curious how Home fits into Red Ventures? Click here .
Contribute to the development and deployment of ML/AI solutions in production environments, with a focus on building reliable, well-tested code
Work across the full data lifecycle, from pulling and cleaning data to building models and tracking their downstream impact
Take solutions built by our platform teams and deliver them customized to individual clients and partners
Collaborate with data scientists, engineers, and business stakeholders to understand problem context and translate it into well-scoped data science work
Communicate progress, risks, and results clearly to both technical and non-technical audiences
Participate in code reviews and pair programming sessions that meet team development standards
Build working knowledge of key business KPIs and how model outputs connect to them
Take on clearly scoped tickets and small projects independently, escalating blockers early
Develop proficiency across common ML techniques, model deployment practices, and the tools and platforms the team uses day-to-day
Master's degree in a quantitative field (Computer Science, Statistics, Economics, Mathematics, or similar) OR Bachelor's degree 1-2 years professional experience
Foundational understanding of core data science techniques such as classification, regression, clustering, and when to apply each
Proficiency in Python and SQL
Experience with Generative AI tools such as Claude Code, Codex, or Cursor, Gemini, Langchain, Mastra, Open AI or similar tools.
Familiarity with model deployment and ML operations concepts, including version control, CI/CD, and job orchestration
Analytical instincts for exploratory data analysis and an ability to assess both technical model performance and its business impact
A collaborative working style with genuine curiosity about how the business works and what drives value

Nice-to-haves

Prior internship, research, or project experience applying ML to real-world problems is a strong plus; experience with Databricks or cloud platforms (AWS) is a bonus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaipythonsqlci/cdawsrest

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Pto

Paid Time Off