Lead Data Scientist

OneMagnify•Detroit, MI

64d

About The Position

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. 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.

Requirements

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)
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)

Nice To Haves

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

Responsibilities

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