Lead Data Scientist

Reposted Yesterday
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Detroit, MI, USA
In-Office
Senior level
Information Technology • Marketing Tech • Analytics
The Role
The Lead Data Scientist will oversee end-to-end data science projects, develop statistical models and machine learning algorithms, and collaborate across teams to deliver impactful data solutions.
Summary Generated by Built In

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-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. 

 

Skills Required

  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling
  • 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
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)

OneMagnify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OneMagnify and has not been reviewed or approved by OneMagnify.

  • Parental & Family Support Parental support is positioned as a defined benefit with six weeks of 100% paid parental leave plus employer-paid short-term disability. Parental leave sentiment is characterized as middling, but the policy itself is clearly specified as part of the package.
  • Wellbeing & Lifestyle Benefits Work flexibility is framed as a meaningful part of the total rewards experience through hybrid/remote options and flexible time off with paid sick leave. Added lifestyle-oriented perks such as volunteer PTO, pet insurance, legal assistance, ERGs, recognition programs, and partner discounts broaden the offering beyond core insurance.
  • Flexible Benefits A broad slate of optional add-ons and programs is described, including tuition reimbursement up to $5,250/year and other elective-style perks. This variety can help different employee needs be met even when base pay competitiveness is seen as only average.

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The Company
Charlotte, NC
610 Employees
Year Founded: 1967

What We Do

We are technologists, strategists, and creative minds dedicated to moving brands forward with work that delivers results. Our messaging, communications and design are driven by human insights and fresh ideas because starting a conversation is one thing, but building a lasting relationship is another.

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