Lead Data ScientistOneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions.
As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution—translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value.What you'll do:Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutionsCollaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful supportTranslate client goals into clear modeling strategies, project plans, and deliverablesGuide the development of production-level model pipelines using tools such as Databricks and Azure MLCollaborate with engineering, marketing, and strategic partners to integrate models into real-world applicationsMonitor and improve model performance, ensuring high standards for reliability and business relevancePresent complex analytical results to technical and non-technical audiences in a clear, actionable formatSupport innovation by identifying new tools, methods, and data sources—including the use of Snowflake for modern data architecturePromote best practices in model governance, data ethics, and responsible AIWhat you need:Minimum 5-7 years of experience in data science, analytics, or predictive modelingExperience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and executionStrong programming skills in Python, R, or SAS for modeling and data analysisAdvanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferredExperience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plusExpertise in regression, classification, clustering, A/B testing, and audience segmentationProficiency with Tableau, Power BI, and Excel for data visualization and communicationStrong communication skills and the ability to translate complex technical findings into business insightBachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.BenefitsWe believe great work happens when people have the support and flexibility they need to thrive.
Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.We are an equal opportunity employerWe believe that innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance.
We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.