Explore 3 marketing data scientist measurement modeling jobs from 3 hiring companies in United States. Filter by remote, salary, experience, and company, then open any listing to apply.

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Marketing Data Scientist Measurement Modeling

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Marketing Data Scientist Measurement Modeling Jobs

FleetPride

McCormick

Scopely

Onsite

Hybrid

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!<div>FleetPride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools.  A critical focus of this position is solving the &#34;Online-to-Offline&#34; puzzle by developing sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers. </div><div>You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement. </div><div>This role focuses on measurement, experimentation, and analytical decision partnership rather than day-to-day media buying or primary ownership of marketing-platform administration. </div><div><div>Responsibilities </div><div><ul><li>Experimentation &amp; Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing, media mix modeling, holdout design, and final readouts to measure business impact. </li></ul></div><div><ul><li>Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions. </li></ul></div><div><ul><li>Reporting and Analytics: Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention. </li></ul></div><div><ul><li>Data &amp; Platform Integration: Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQuery and advertising platforms for analysis, measurement, and decision-making. </li></ul></div><div><ul><li>Predictive &amp; Analytical Modeling: Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance. </li></ul></div><div><ul><li>AI &amp; Advanced Analytics: Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support. </li></ul></div><div><ul><li>Data Science Execution: Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions. </li></ul></div><div><ul><li>Insight Communication: Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations. </li></ul></div><div> </div><div>Qualifications &amp; experience </div><div><ul><li>3&#43; years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact. </li></ul></div><div><ul><li>Strong knowledge of statistical methods, hypothesis testing, regression analysis, causal inference, forecasting, and experimental design. </li></ul></div></div><div><div><ul><li>Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight. </li></ul></div><div><ul><li>Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments. </li></ul></div><div><ul><li>Proficiency in Python and SQL for data analysis, modeling, and workflow development. </li></ul></div><div><ul><li>Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments. </li></ul></div><div><ul><li>Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts. </li></ul></div><div><ul><li>Comfort collaborating with IT on tracking and data pipelines, including server-side tracking, conversion APIs, and Online-to-Offline measurement. </li></ul></div><div><ul><li>Experience translating ambiguous business questions into structured analytical plans and practical solutions. </li></ul></div><div><ul><li>Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-based measurement and optimization models. </li></ul></div><div><ul><li>Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders. </li></ul></div><div><ul><li>Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred. </li></ul></div><div>PREFERRED QUALIFICATIONS </div><div><ul><li>Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations. </li></ul></div><div><ul><li>Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics. </li></ul></div><div><ul><li>Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue. </li></ul></div><div><ul><li>Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs. </li></ul></div><div><ul><li>Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments. </li></ul></div><div><ul><li>Experience with AI tools and/or machine learning systems in real-world business settings. </li></ul></div><div><ul><li>Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools. </li></ul></div><div> </div><div>About FleetPride </div></div><div>FleetPride is the nation&#39;s largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. Our network includes retail, service, distribution, and wholesale divisions, all working together to deliver unmatched value to our customers. </div>FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Marketing Data Scientist, Measurement & Modeling

3+ years in analytics/data science; strong Python and SQL; cloud platforms; marketing analytics; translate business questions into analytical plans.

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction.
We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value.
As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes.
<h3>Responsibilities</h3>
Marketing &amp; Product Analytics
<ul>
<li>Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing.</li>
<li>Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions.</li>
<li>Partner with Marketing and Finance to optimize budget allocation and ROI.</li>
</ul>
Experimentation &amp; Causal Inference
<ul>
<li>Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).</li>
<li>Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights.</li>
</ul>
Data Engineering &amp; Infrastructure
<ul>
<li>Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer).</li>
<li>Design optimized data models and warehouse schemas for high-performance analytics.</li>
<li>Build reusable data assets, feature stores, and modular analytics frameworks.</li>
</ul>
AI-Driven Analytics
<ul>
<li>Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis.</li>
<li>Integrate AI into analytics workflows to improve speed, quality, and reproducibility.</li>
<li>Promote technical excellence and responsible AI adoption.</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred).</li>
<li>Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact.</li>
<li>Strong expertise in experimentation, causal inference, and marketing measurement.</li>
<li>Advanced SQL and Python skills, including scalable ETL and production workflows.</li>
<li>Experience with BI tools (e.g., Looker) and enabling self-serve analytics.</li>
<li>Ability to influence senior stakeholders and drive executive-level adoption.</li>
</ul>
<h3>Plus If…</h3>
<ul>
<li>End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).</li>
<li>Experience with large-scale datasets.</li>
<li>Familiarity with BigQuery, Composer, and Airflow.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.</div><div class="title">CA, CO, NJ, NY, and WA Annual Salary Range</div><div class="pay-range">$203,000&mdash;$290,000 USD</div></div></div><div class="content-conclusion"><h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/">https://www.scopely.com/</a>.&nbsp;
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com">scopely.com</a>.</div>

Data Scientist - Marketing & Product

Data Scientist

7+ years in data science for Marketing/Growth or Product Analytics; production predictive models (LTV, churn, propensity, MMM); strong SQL/Python; experimentation and marketing measurement; BI tools (Looker).

You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.
McCormick employees – all 14,000 of us across the world – are what makes this company a great place to work.
 
We are looking to hire a Principal Data Scientist, Global Marketing Measurement and Optimization   immediately in a Hybrid (50/50) capacity at our Global Headquarters in Hunt Valley, Maryland. 
 
What We Bring To The Table:
The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader (401k, health insurance, paid time off, etc.) we also offer:
• Competitive compensation
• Career growth opportunities
• Flexibility and Support for Diverse Life Stages and Choices
• Wellbeing programs including Physical, Mental and Financial wellness
• Tuition assistance
 
 Position Summary:
This Principal Data Scientist, Global Marketing Measurement and Optimization, will be responsible for bringing the data science expertise that is needed to lead a range of projects to drive better understanding of short- and long-term marketing effectiveness, including the next generation of technical modeling that powers McCormick’s marketing measurement and optimization program. McCormick can drive unprecedented brand growth by learning how to better measure all aspects of marketing/media design and execution and bringing these different analytics together to provide a holistic view on the drivers of short- and long-term growth and build predictive models to enable better decision making.  The role is designed to give McCormick the data and analytical engine to make this happen.
 
Key Responsibilities:
<ul style="margin-bottom:0.0in;margin-top:0.0px">
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing)</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Develop media-driven volume forecasting tools to integrate into McCormick’s demand forecasting platform</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities</li>
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Develop training content that enables business partners to use marketing optimization capabilities more effectively</li>
</ul>
 
 
Qualifications:
<ul style="margin-bottom:0.0in;margin-top:0.0px">
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Bachelor’s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">8+ years’ experience in data science, with media analytics expertise</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Understanding of the business and technical aspects of Marketing Mix Modeling, Media Effectiveness Testing tools (Lift, A/B, etc.), Creative Testing, and proficiency for the evolution of and other tools in the Media Effectiveness Space</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Demonstrated ability to connect the dots between complex data/analytics and business understanding</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Proficiency with building dashboards for business users using data visualization software (Power BI preferred)</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Expertise in SQL and Python coding </li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Demonstrated experience with building data models, machine learning &amp; AI</li>
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Comfortable working with structured and unstructured data sources, e.g. syndicated data, SAP</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Proven project leadership experience with demonstrated success in balancing multiple projects in a fast-paced environment; foresees and addresses issues before they become significant obstacles</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Strong technical curiosity, a passion for problem solving and the ability to uncover richness of analytic insight that translates to business opportunity</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Demonstrated agile learning skills; ability to learn new technology, skills &amp; tools quickly and easily</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Ability to synthesize analytic learnings and translate into compelling stories for a business audience</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Effective at building collaborative, cross functional and cross-geography partnerships</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;font-size:11.0pt;font-family:&#39;Times New Roman&#39;, serif">Excellent written communication and presentation skills</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Ability to travel internationally, as needed (0-5%)</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">Strong personal leadership, including attention to detail, quality of work and bias toward action</li>
<li style="margin:0.0in 0.0in 6.0pt 0.0px;line-height:107%;font-size:11.0pt;font-family:Aptos, sans-serif">CPG or Food/Bev experience (preferred)</li>
</ul>
 
#LI-SM1As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future. 
 
Base Salary: $103,520 - 181,150.
 
Base salary compensation will be determined based on factors such as geographic location, skills, education, experience for this role, and/or internal equity of our current employees as part of any final offer. This position is also eligible to participate in McCormick’s  Sales Incentive Bonus (SIB) Plan. In addition to a competitive compensation package, permanent employees of McCormick are eligible for our extensive Total Rewards programs that include:
 
- Comprehensive health plans covering medical, vision, dental, life and disability benefits
 
- Family-friendly benefits such as paid parental leave, fertility benefits, Employee Assistance Program, and caregiver support
 
- Retirement and investment programs including 401(k) and profit-sharing plans
It is the policy of McCormick and Company to select and promote for all positions without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Principal Data Scientist- Global Marketing Measurement & Optimization (HUNT VALLEY, MD, US, 21031)

Principal Data Scientist

Lead data science and marketing measurement initiatives; 8+ years in data science with media analytics; strong SQL/Python, dashboards, and modeling skills.

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