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 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 &amp; ML. In this role, you’ll help tailor, optimize, and scale data science solutions to solve specific partner and customer challenges, ensuring our technology delivers measurable value in the marketplace. An example project includes building and deploying real-time technology, powered by generative AI, to assist our sales professionals. 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 product management on an AI/ML consumer-facing application.   What Youll Do <ul> <li>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.</li> <li>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.</li> <li>Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:</li> <ul> <li>Data pipelines to gather, manipulate, prepare, and visualize large datasets</li> <li>Machine learning models for offline and proof-of-concept use cases</li> <li>LLM workflows to automate tasks or for reasoning capabilities for specific features in your product</li> </ul> <li>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.</li> <li>Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges.</li> </ul> Who You Are <ul> <li>Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.</li> <li>Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. </li> <li>Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.</li> <li>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.</li> </ul> What Were Looking For <ul> <li>Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.</li> <li>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.</li> <li>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).</li> </ul> Compensation <ul> <li>Cash Compensation Range: $95,000 - 120,000 </li> <ul> <li>*Note actual salary is based on geographic location, qualifications, and experience. </li> </ul> </ul>   Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. <ul> <li>Health Insurance Coverage (medical, dental, and vision)</li> <li>Life Insurance</li> <li>Short and Long-Term Disability Insurance</li> <li>Flexible Spending Accounts</li> <li>Holiday Pay</li> <li>401(k) with match</li> <li>Employee Assistance Program</li> <li>Paid Parental Bonding Benefit Program</li> <li>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.</li> </ul> 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 &amp; 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 <a href="http://redventures.com/" target="_blank">redventures.com</a> 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: <a href="https://www.youtube.com/watch?v=rH8sAwf4T34">Our Belief Statements</a>. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. 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