Associate Data Science Product Manager, Marketplace

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.

We are looking to hire an Associate Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals.

In this role, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or a masters degree in related fields.

This is a hybrid position located in our South Charlotte or NYC office.

What You'll Do

• Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action.
• Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead.
• Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:
• Data pipelines to gather, manipulate, prepare, and visualize large datasets
• Machine learning models for offline and proof-of-concept use cases
• LLM workflows to automate tasks or for reasoning capabilities for specific features in your product
• End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative.
• Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges.

Who You Are

• Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.
• Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. 
• Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.
• You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders.

What We're Looking For

• Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.
• Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques.
• Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).

Compensation

• Cash Compensation Range: *$95,000-120,000 
• *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

Who We Are

Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.

We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

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 [email protected]. 

If you are based in California, we encourage you to read this important information for California residents linked here.

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