Lead Data Scientist

OneMagnify; Detroit (MI); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement plan

Flexible Time Off (FTO)

Job summary

OneMagnify in Detroit, Michigan is seeking a Lead Data Scientist to join their RXA Data Science team. In this role, you will lead the design and development of data-driven solutions and collaborate with clients and internal teams to deliver impactful results. Your responsibilities will include overseeing data science projects and ensuring their successful execution with high technical standards.

The ideal candidate will have extensive experience in data science, strong programming skills, and the ability to communicate complex findings effectively. OneMagnify offers a range of benefits to support employee well-being and professional growth.

Qualifications

• Minimum 5-7 years of experience in data science, analytics, or predictive modeling.
• Experience leading all aspects of data science initiatives.
• Strong communication skills to translate technical findings into business insight.

Responsibilities

• Lead the design, development, and deployment of statistical models and machine learning algorithms.
• Collaborate with team members to ensure alignment on data analysis projects.
• Monitor and improve model performance and communicate insights effectively.

Skills

Data science experience

Programming skills in Python, R, or SAS

Advanced SQL capabilities

Experience with Databricks, Azure ML, and Snowflake

Proficiency with Tableau and Power BI

Education

Bachelor’s degree in Data Science, Statistics, or Computer Science

Tools

Databricks

Azure Machine Learning

Snowflake

Job description

OneMagnify 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 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.

We are an equal opportunity employer. We 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-mind 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.