Senior Data Scientist, Product Data

About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products— Performance (affiliate), Creator (influencer), and Discovery (discovery) — drive revenue and offer a unified view of the entire partnership ecosystem. Founded in Santa Barbara, CA in 2008, impact.com has grown to over 1,000 employees and eleven offices worldwide. We are looking for a Senior Data Scientist to join our Product Data Science team. The Product Data Science team is responsible for developing data-driven insights and building machine learning models to improve the impact.com platform and drive business value. You will work closely with product managers, engineers, and other stakeholders to identify opportunities, define metrics, build models, and communicate results. What you'll do: * Develop and maintain machine learning models for various product features, such as fraud detection, attribution modeling, and recommendation systems. * Conduct exploratory data analysis to identify trends, patterns, and insights that can inform product decisions. * Design and implement A/B tests to evaluate the impact of new features and improvements. * Communicate findings and recommendations to both technical and non-technical audiences. * Collaborate with cross-functional teams, including product management, engineering, and marketing. * Stay up-to-date with the latest advancements in data science and machine learning. What you have: * Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related field. * 5+ years of experience in data science, with a focus on product analytics and machine learning. * Strong programming skills in Python or R. * Experience with machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning. * Experience with big data technologies, such as Spark, Hadoop, and Hive. * Experience with SQL and relational databases. * Excellent communication and presentation skills. * Ability to work independently and as part of a team. Bonus points: * Experience with e-commerce or advertising platforms. * Experience with cloud computing platforms, such as AWS or Google Cloud. * Experience with data visualization tools, such as Tableau or Looker. Impact.com provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Note to Recruiters and Placement Agencies: impact.com does not accept unsolicited agency resumes. Recruiters should not send resumes to any impact.com employee or location. impact.com is not responsible for any fees related to unsolicited resumes. #LI-Remote #LI-Remote