O

OneMagnify

AI-driven marketing optimization and personalization

Lead Data Scientist - RXA Data Science

Full-Time
No salary listed
Senior
Bachelor's, Master's
Detroit, MI, USA
In Person
Data & AnalyticsData Science

About the job

Requirements
  • A minimum of 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 such as Azure or AWS.
  • Experience applying modeling rigor and documentation standards required in regulated industries such as financial services.
  • 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.
  • A Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
Responsibilities
  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions.
  • Collaborate with team members to understand the purpose, focus, and objectives of each data analysis project and ensure 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 Machine Learning.
  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications.
  • Monitor and improve model performance to ensure reliability and business relevance.
  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format.
  • Identify new tools, methods, and data sources, including Snowflake for modern data architecture.
  • Promote best practices in model governance, data ethics, and responsible artificial intelligence.
Desired Qualifications
  • Hands-on experience with Databricks, Azure Machine Learning, and Snowflake.
  • Experience applying modeling rigor and documentation standards required in regulated industries such as financial services.
  • A Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments.

About the company

OneMagnify helps brands improve customer experiences through digital transformation by personalizing interactions at scale using data-driven, AI-enhanced and technology-enabled marketing. It uses a global team of over 700 experts across marketing, creative, technology, analytics and AI to design and execute multi-channel activation with measurable results. The company combines 50 years of brand-building experience with industry vertical expertise to deliver end-to-end digital activation on leading platforms. Its goal is to magnify brands by delivering data-backed, personalized experiences online that drive business results for clients.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Charlotte, North Carolina

Founded

1967

Get referred to OneMagnify

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Elan Elango joined as CTO in September 2026 to harden the AI platform.
  • August 2026 hires Chris Werner and Peter Twombly expanded enterprise growth and new-logo selling.
  • Optimal's February 2026 acquisition added performance media, audience data, and paid-channel capabilities.

What critics are saying

  • Headcount fell from 1,097 in 2023 to 981 in March 2026.
  • M&A integration from Optimal, Emodo, Guidance, and recent hires will distract teams through 2027.
  • Shopify and Domo platform dependence compresses margins if clients internalize AI workflows.

What makes OneMagnify unique

  • Crestview-backed OneMagnify combines marketing services, analytics, and AI under one operating model.
  • Shopify Premier Partner status on July 22, 2026 validates enterprise commerce execution.
  • FordDirect and Optimizely case studies show governed AI workflows turning data into action.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

401(k) Company Match

Paid Holidays

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%
PR Newswire
Oct 1st, 2026
OneMagnify hires former Zeta Global VP Elan Elango as CTO to lead AI platform strategy

OneMagnify, an AI-native B2B marketing services company, has appointed Elan Elango as chief technology officer. Elango brings over 20 years of experience building large-scale cloud, data, and AI platforms. He joins from Zeta Global, where he served as VP of engineering and led the development of Athena, Zeta's AI platform. He previously held platform engineering roles at Auth0 and Price.com. In his new role, Elango will oversee engineering, platform architecture, data infrastructure, and AI. His mandate includes turning OneMagnify's proprietary platform into a competitive advantage for clients. "Elan has built AI-native foundations before, at companies where AI and data infrastructure weren't a feature of the product; they were the product," said Ravi Karumuru, president and CEO of OneMagnify. The Detroit-based company is backed by private equity firm Crestview Partners.

OneMagnify
Sep 18th, 2026
Revenue doesn't disappear overnight: catching problems before customers do.

Revenue doesn't disappear overnight: catching problems before customers do. September 18, 2026 Home > blog > revenue doesn't disappear overnight: catching problems before customers do. At Opticon 2026 in New York, Steve Farr (Chief Digital Officer) and I took the stage to share a project OneMagnify is genuinely proud of: how OneMagnify built an AI-powered early-warning system on Optimizely Opal for a wholesale B2B client - turning a mountain of disconnected data into something leadership could actually act on. The Question That Started It All "How many customer problems are we discovering because the customer called us first?" That's the question its client brought to OneMagnify. Like a lot of B2B distributors, their business depends on easy ordering and reliable, on-time delivery. When those expectations slip, cancellations and returns follow. And too often, the team was hearing about a problem from the customer instead of catching it first. It's a familiar story: a small, focused team with real investments in ERP, PIM, CMS, and CRM platforms, sitting on a mountain of data - but with no way to connect it. The systems were disconnected, hard to trust, and impossible to analyze quickly. A prior attempt at a BI and data visualization initiative hadn't earned leadership's confidence, and margin pressure meant there wasn't headroom to hire a team of analysts to bridge the gap. The Solution: An Intelligence Layer, Not a Rip-and-Replace OneMagnify built a secure, scalable AI-enabled intelligence layer that integrates Optimizely Opal with the client's ERP, CMS, and data - without replacing any of their existing systems. It has four parts: * Trusted Data Foundation - unifying ERP data with governance and validation for accuracy and consistency * Secure Integration Middleware - extracting only high-value, targeted data points, avoiding system disruption * AI Agents & Orchestration (Opal) - purpose-built agents for commerce analytics, content intelligence, SEO insights, customer risk alerts, and marketing reports * Executive Insight Experience - a single AI workspace where leadership can ask questions and get answers instantly What OneMagnify Learned Along the Way Not everything went in a straight line, and that was some of the most useful material in the session. Its initial commerce use cases tried to process large volumes of ERP data spanning months to a full year. In practice, Opal has real limits on how much data it can ingest and process effectively for AI-generated responses - OneMagnify found ourselves progressively narrowing the window down to just a few days, which wasn't enough for meaningful commerce analytics. Working with Optimizely's product team, OneMagnify landed on a better design: pull fewer, high-value data points instead of full ERP records, and extend the timeframe to months instead of days. That shift unlocked business-relevant insights without hitting platform constraints - and freed OneMagnify to expand into CMS-based use cases in parallel, leveraging Optimizely's existing agent framework. Live, on Production Data Rather than just talk about it, OneMagnify demoed it - live, with real production data - across five commerce use cases: * Inventory & fulfillment risk indicators * Returns vs. avoidable cancellation modeling * Order-to-invoice failure analysis * Order deep-dive & customer pattern intelligence * Single customer intelligence & risk analytics The Results * 25% more proactive interventions * 12% reduction in manual effort as adoption scaled * 2% of at-risk revenue protected * 40% reduction in manual audit time Beyond the numbers, this set the client up with a scalable, future-ready AI architecture - one that can expand into new dashboards, new agents, and new data sources as the business grows. The Bigger Point The title wasn't just a hook. Cuts to content, staffing, or process rarely show up in revenue right away - the impact can take six to eighteen months to surface, by which point the decision that caused it is long forgotten. The same is true in reverse: an intelligence layer like this doesn't pay off in a single quarter. It pays off by catching the problem before the customer has to call and tell you about it. Thanks to everyone who joined OneMagnify in the room at Opticon - great crowd, great questions, and a fun one to demo live.

dBusiness
Jul 27th, 2026
Detroit's OneMagnify achieves Shopify Premier Partner status.

Detroit's OneMagnify achieves Shopify Premier Partner status. OneMagnify, a data-driven marketing and commerce company in Detroit, has achieved Premier Partner status in the Shopify Partner Program, one of the highest tiers in the Shopify ecosystem. July 27, 2026 OneMagnify, a data-driven marketing and commerce company in Detroit, has achieved Premier Partner status in the Shopify Partner Program, one of the highest tiers in the Shopify ecosystem. According to OneMagnify, the tier status recognizes the company's technical depth and its track record delivering complex, enterprise-grade commerce experiences for global brands. OneMagnify is an AI-native, platform-enabled company built to help B2B and enterprise brands integrate strategy, data, and execution into a single system that drives growth. "Achieving Shopify Premier Partner status reflects the strength of our collaboration with Shopify and the caliber of work our teams deliver every day," says Steve Farr, chief digital officer at OneMagnify. "We built our business to help complex organizations turn commerce into a growth engine, and this recognition validates that approach." Over the years, OneMagnify says it's been driving scalable innovation using the Shopify platform. Examples include: * A global manufacturing company saw a 30 percent increase in online order adoption after OneMagnify migrated it from a legacy platform to a custom B2B Shopify build spanning North America and EMEA. * A multi-brand retail enterprise cut time-to-market for new regional launches by 25 percent through a multi-store, multi-region Shopify architecture that balanced local experiences with centralized governance. * A leading automotive brand saw a double-digit lift in conversion after OneMagnify connected Shopify to its CRM and service platforms, building a seamless omnichannel buying journey. The elevated status opens the door to more innovative commerce work with Shopify and reinforces OneMagnify's role as a trusted partner for complex digital and AI-led transformation, the company says.

Citybiz
May 1st, 2026
OneMagnify names Ravi Karumuru CEO to lead ai-native growth strategy, mark Petroff becomes chairman.

OneMagnify names Ravi Karumuru CEO to lead ai-native growth strategy, mark Petroff becomes chairman. May 1, 2026 Ravi Karumuru OneMagnify, a global provider of advanced analytics and AI-driven B2B marketing services backed by Crestview Partners, has appointed Ravi Karumuru as chief executive officer, expanding his role from president as the company sharpens its focus on AI-native growth and platform-led marketing solutions. Karumuru has also joined OneMagnify's board of directors as part of the leadership transition. Mark Petroff, who has led the company for more than two decades, will move into the role of chairman of the board, where he will continue to support long-term strategy and governance continuity. The leadership change marks a strategic inflection point for the organization as it looks to scale its data, analytics and artificial intelligence capabilities for enterprise clients. Karumuru joined OneMagnify as president in November 2025 and has since worked closely with the leadership team to refine the company's operating model. His appointment signals an increased emphasis on integrating strategy, data, AI and execution into a more unified platform offering for B2B customers. "OneMagnify has built a strong and differentiated foundation," Karumuru said. "The opportunity now is to take that further - sharpen our focus, scale our platform, and lead with greater clarity in how we help clients grow." Before joining OneMagnify, Karumuru held senior roles across digital transformation and marketing services, including positions at Wipro, where he served as general manager and head of digital transformation for the Americas, as well as leadership roles at Epsilon, Ansira and Omnicom. The company said the next phase of growth will center on expanding its AI-native capabilities and strengthening its platform-enabled service model, with the goal of helping enterprise clients improve measurable business outcomes. Petroff said the leadership transition reflects both organizational maturity and readiness for the next stage of expansion. "Building OneMagnify alongside this team has been the privilege of my career," Petroff said. "Ravi brings the clarity and leadership needed for what comes next, and I look forward to supporting him and the team in this new chapter." Under Petroff's leadership, OneMagnify expanded from a regional marketing services firm into a global organization with more than 880 employees across the United States, Germany and India, serving enterprise clients with integrated analytics, customer insights and marketing execution services. Bradford Williams, partner and co-head of industrials at Crestview Partners, said the firm views the leadership transition as a catalyst for continued growth. "Ravi's appointment reflects our confidence in both his leadership and the momentum underway at OneMagnify," Williams said. "The company is well-positioned at the intersection of data, AI, and marketing, and we believe Ravi brings the focus and execution needed to accelerate growth." Crestview Partners, a New York-based private equity firm founded in 2004, manages more than $10 billion in capital commitments and invests primarily in media, industrials and financial services. OneMagnify operates as a growth partner for B2B brands, offering services across data and analytics, AI, digital experience, performance marketing and channel strategy. The company said its strategy is focused on helping clients translate marketing investment into measurable business performance through integrated, technology-enabled solutions.

TechRepublic
Mar 27th, 2026
Inside Ford's ai-driven approach to scaling dealer analysis.

Inside Ford's ai-driven approach to scaling dealer analysis. Published March 27, 2026 FordDirect used AI agents in Domo to automate dealer analysis, cut turnaround time, and deliver insights that helped win back at-risk dealerships. How do you turn a dealer-level analysis process into a scalable, AI-powered workflow? During a session at the Domopalooza conference in Salt Lake City in late March of 2026, representatives from FordDirect and OneMagnify laid out how they built a workflow in Domo using an AI agent task to transform a previously manual process into an automated, end-to-end workflow for dealer re-engagement. FordDirect is a joint venture between Ford Motor Company and its Ford and Lincoln dealers. One of its main tools is the AdVantage digital ad program, designed to drive traffic and sales and improve marketing return on investment for dealers. There are more than 3,000 Ford and Lincoln dealers in the US, many of whom are part of AdVantage... but far from all. An AI agent was designed to address dealerships that had ceased membership in AdVantage, as well as those deemed at risk of discontinuing the service. "We created an AI agent to deliver dealer performance insight that would accelerate AdVantage growth," said Brendan Sullivan, director of FordDirect Advertising Analytics. "The goal was to equip our sales team with data and narrative examples they could use for dealer retention and win-back." Winning back lost dealers with data-driven insights. In 2025, 97 at-risk or terminated dealers were identified. In the past, anyone wishing to analyze these dealers faced a data integration challenge to find how they performed before and after leaving AdVantage. They had to blend AdVantage and non-AdVantage data across varied dealer timelines, metrics, and formats. They also had to factor in external influences that disrupt markets, such as seasonality, tariffs, and more. The first step was to achieve a firm understanding of the existing manual process, then to build a strong data foundation and define precisely and only what the agent was to accomplish. Both Databricks and Domo were reviewed as candidate platforms. Domo won due to the strength of its data foundation and AI governance capabilities, added Sullivan. Stephanie Butterbrodt, a business intelligence consultant at OneMagnify, assisted FordDirect with the project. The agent was set up to analyze and rank multiple performance scenarios using flexible logic that could evolve as priorities change. "The agent used a governed, repeatable process for multi-dealer analysis that generated a clear narrative text and visual outputs that could go to the sales teams for use in potential dealer conversions," said Butterbrodt. "It was based on a standardized way to compare the last three months before leaving AdVantage to the three months after." Measuring impact: how AI turned insights into results. Sales could use the agent to generate data on one dealer or all of them. Sales were given before and after performance stories, which they could use to show the value of AdVantage. They could trust the findings as the data was cleaned prior to analysis and guardrails were put in place to prevent errors or hallucination. For example, AI was only to access and use the data provided and nothing more. A human-in-the-loop was added to verify that the AI agent's output matched real-world conditions. "AdVantage helped drive 34% more leads, 20% more vehicle sales, and an 18% improvement in sales effectiveness at one Ford dealership," said Butterbrodt. "When shown this information, that deal rejoined the program." Sullivan added that the agent delivered 24 opportunity stories. Ten of these returned to the program. In addition, eliminating the manual workflow led to a 75% reduction in hours spent on creating dealer data and a 90% reduction in turnaround time from analysis to story generation." What FordDirect and OneMagnify built isn't just a faster reporting pipeline, but a scalable decision engine - one that turns fragmented data into clear, persuasive stories. By combining governed data, focused AI, and human oversight, they proved the real value of AI isn't just automation, but action. When insights arrive as ready-to-use narratives, teams can move faster... and in dealer engagement, speed is a decisive advantage. For another example of rapid AI in action, check out how Bissell built five real workflows in just two days - turning AI hype into measurable results with Domo.