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 solutions
- Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support
- Translate client goals into clear modeling strategies, project plans, and deliverables
- Guide the development of production-level model pipelines using tools such as Databricks and Azure ML
- Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications
- Monitor and improve model performance, ensuring high standards for reliability and business relevance
- Present complex analytical results to technical and non-technical audiences in a clear, actionable format
- Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture
- Promote best practices in model governance, data ethics, and responsible AI
What you need: - Minimum 5-7 years of experience in data science, analytics, or predictive modeling
- Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution
- Strong programming skills in Python, R, or SAS for modeling and data analysis
- Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)
- Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred
- Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
- Expertise in regression, classification, clustering, A/B testing, and audience segmentation
- Proficiency with Tableau, Power BI, and Excel for data visualization and communication
- Strong communication skills and the ability to translate complex technical findings into business insight
- Bachelor'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.
Benefits We 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.
