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Marketing Science Jobs (NOW HIRING)

What You're Applying for As a Marketing Science Analyst on Triple Whale's Marketing Science team, you'll be a key operator within the Compass and Unified Measurement experience. This is a hands-on ...

Senior Marketing Science Analyst

Dallas, TX · On-site

$101K - $125K/yr

Senior Marketing Science Analyst Company: Analytic Partners, LP (Dallas, Texas) Duties: Lead the development and execution of marketing analytic programs for customers. Oversee the collection ...

Marketing Science Lead

New York, NY · On-site

$180K - $275K/yr

About the Role Agentio is seeking a Marketing Science Lead to establish our measurement practice as we scale creator marketing as performance infrastructure for brands. As the creator economy matures ...

Senior Marketing Science Analyst

Dallas, TX · On-site

$101K - $125K/yr

Senior Marketing Science Analyst Company: Analytic Partners, LP (Dallas, Texas) Duties: Lead the development and execution of marketing analytic programs for customers. Oversee the collection ...

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Marketing Science information

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How much do marketing science jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for marketing science in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What can I do with a BS in marketing?

A BS in marketing prepares individuals for roles such as marketing analyst, brand manager, digital marketing specialist, or market research analyst. These positions often require skills in data analysis, consumer behavior, and familiarity with marketing tools like CRM software and analytics platforms.

What are 5 careers in marketing?

Five common careers in marketing include marketing analyst, brand manager, digital marketing specialist, market research analyst, and content strategist. These roles often require skills in data analysis, communication, and familiarity with marketing tools like SEO and analytics platforms. They can involve working in agencies, corporate marketing departments, or as freelancers.

What is the difference between Marketing Science vs Data Analyst?

AspectMarketing ScienceData Analyst
Required CredentialsDegree in marketing, statistics, or related fields; knowledge of marketing analytics toolsDegree in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentMarketing teams, analytics departments, advertising agenciesBusiness units, research teams, data departments across industries
Employer & Industry UsageMarketing-focused roles in retail, tech, consumer goodsBroad application across industries including finance, healthcare, and tech
Common Search & Comparison IntentUnderstanding marketing analytics roles, career pathsAnalyzing data for insights, reporting, and decision-making

Marketing Science focuses on applying advanced analytics and modeling to optimize marketing strategies, while Data Analysts interpret data across various business functions. Both roles require strong analytical skills and familiarity with data tools, but Marketing Science emphasizes marketing-specific insights and predictive modeling, whereas Data Analysts often handle broader data analysis tasks across industries.

What are the key skills and qualifications needed to thrive as a Marketing Science professional, and why are they important?

To excel as a Marketing Science professional, you need a strong background in statistics, data analysis, and marketing principles, often supported by a degree in marketing, mathematics, economics, or a related field. Proficiency with analytical tools such as SQL, Python, R, and data visualization platforms like Tableau is highly valuable, along with experience using marketing analytics platforms. Strong problem-solving skills, critical thinking, and the ability to communicate complex data insights clearly make individuals stand out in this role. These competencies are crucial for transforming complex data into actionable strategies that drive business growth and optimize marketing effectiveness.

What is the highest paid job in marketing?

In marketing, senior executive roles such as Chief Marketing Officer (CMO) or Vice President of Marketing tend to be the highest paid, often earning six-figure salaries or more depending on the company size and industry. These positions require extensive experience, strategic leadership skills, and often involve overseeing large teams and budgets.

How does a Marketing Science professional typically collaborate with other teams within an organization?

Marketing Science professionals work closely with cross-functional teams such as marketing, product, sales, and data engineering to translate complex data analyses into actionable insights. They often participate in strategy meetings to help shape marketing campaigns based on data-driven findings and predictive models. Regular collaboration involves sharing dashboards, presenting findings, and advising on metrics to track campaign performance. This role requires strong communication skills to bridge the gap between technical analytics and business objectives, ensuring recommendations are both understandable and impactful.

Can I make 6 figures with a marketing degree?

A career in marketing science can lead to six-figure salaries, especially with experience, advanced skills in data analysis, and proficiency in tools like SQL or Python. Senior roles such as marketing analysts or managers often reach or exceed six figures, but starting salaries typically range lower and depend on industry, location, and individual qualifications.

What is marketing science?

Marketing science is a discipline that uses data analysis, research, and scientific methods to understand consumer behavior and improve marketing strategies. Professionals in this field apply statistical models and advanced analytics to measure the effectiveness of marketing campaigns, optimize advertising spend, and predict market trends. The goal is to make data-driven decisions that maximize return on investment and drive business growth.
More about Marketing Science jobs
What cities are hiring for Marketing Science jobs? Cities with the most Marketing Science job openings:
What states have the most Marketing Science jobs? States with the most job openings for Marketing Science jobs include:
Infographic showing various Marketing Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Full-time

Posted 7 days ago


Job description

What Do We Do?
Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you - pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites.
We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce - Moby 2 - letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter.
The result: more than 60,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible.
What You're Applying for
As a Marketing Science Analyst on Triple Whale's Marketing Science team, you'll be a key operator within the Compass and Unified Measurement experience. This is a hands-on individual contributor role-you'll dive deep into the data, build and execute analyses, and help translate measurement outputs into decisions that brands can act on.
This role exists because brands at scale ($50M-$500M+ revenue, complex omnichannel operations) don't just need data-they need support turning measurement into decisions that hold up in the real world.
Reporting into our Marketing Science Lead, you'll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.
You'll help deliver measurement strategy for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospect conversations as a technical and analytical resource.
Sitting within Marketing Science, you'll work cross-functionally with Product, Data Science, and CSM-helping bridge the gap between customer complexity and Triple Whale's solutions.
What You'll Do
Lead measurement strategy for Compass brands
  • Own the full measurement conversation arc, from kickoff and test design through results interpretation and what-comes-next recommendations, for a portfolio of 8-9 figure brands
  • Translate MMM, incrementality, and attribution model outputs into operator-native decisions: not "here's what the model says," but "here's what it means for your channel mix and your next budget call"
  • Sequence tests intelligently across channels based on the brand's spend levels, organizational capacity, and the questions that actually matter to their business right now
  • Interpret results for non-technical stakeholders: explain what a null result means, what 80% confidence does and doesn't authorize, and how an Amazon halo effect finding changes cross-channel thinking
  • Help brands build a measurement roadmap over time, not just run one-off tests

Be the channel expert in the room
  • Bring working knowledge of the channels these brands actually run, including Meta, Google, TikTok, YouTube, retail media, and AppLovin, with a clear understanding of what each platform reports, what it doesn't, and where platform-reported performance diverges from business reality
  • Help brands with offline complexity (wholesale, retail, Amazon) think through measurement in contexts where digital-only frameworks don't cleanly apply
  • Reframe the questions brands bring: not "is my Meta ROAS good?" but "are these campaigns driving incremental new customers, or harvesting the brand awareness I've already built?"
  • Apply cross-brand pattern intelligence, without violating confidentiality, to contextualize what individual brands are seeing in their data

Support sales as a subject matter expert
  • Join high-value prospect conversations as the operator credibility voice, not to pitch product, but to make a $200M omnichannel brand feel genuinely understood before a deal decision gets made
  • Ask the questions that open the conversation: the ones that show you understand what it actually feels like to run marketing at their scale, even before Triple Whale is fully on the table
  • Translate Triple Whale's capabilities into their operational reality, not into feature descriptions

Feed the product from the outside in
  • Distinguish between product gaps and operator context gaps: not everything that confuses a brand is a product problem, and knowing the difference is what makes your feedback actually useful
  • Name patterns when multiple brands at similar scale hit the same friction point, and bring them to the product team with enough context to inform prioritization
  • Bring the organizational reality that product can't get from the inside: what does it feel like to act on an MMM recommendation when there are 14 stakeholders with opinions on the campaign structure?
What You'll Bring
Real operator experience at scale: You've been accountable for marketing performance, not as an agency buyer or advisor, but as someone with skin in the game at a brand doing meaningful revenue. You've made budget calls with imperfect data, defended channel spend to a CFO, and felt the organizational complexity that makes good measurement advice hard to act on.
Measurement literacy: You understand the difference between last-click, MTA, MMM, and incrementality testing, and which one answers which question. You can explain test confidence, null results, and attribution gaps in plain language. You don't need to build the models; you need to make them mean something to an operator who has to act on them.
Paid media and channel expertise: 5+ years running or closely overseeing paid media across Meta, Google, TikTok, or similar platforms at meaningful scale. You understand platform mechanics, attribution windows, and reporting gaps, and you have formed, articulable opinions about how each platform works and what it systematically gets wrong.
Omnichannel fluency: You understand what it means to run marketing across DTC, Amazon, wholesale, and retail simultaneously, and why the attribution problems that creates are genuinely hard. You don't assume digital-only measurement frameworks apply cleanly to brands with offline complexity.
Executive-level communication: You can run a high-stakes call with a CFO, CMO, and media buyer all in the room, adjusting depth and framing for each without losing any of them. You can deliver hard news (a null result, a recommendation that contradicts their instincts) without losing the relationship.
Strong differentiators
  • Direct experience at or with a brand doing $50M-$500M+ in revenue, especially with retail, wholesale, or Amazon complexity on top of DTC
  • Hands-on familiarity with Triple Whale, Northbeam, Rockerbox, or similar multi-platform attribution tools, with genuine opinions about their tradeoffs
  • Experience evaluating or acting on incrementality test results (GeoLift, holdout, synthetic control) in a context where the findings informed a real budget decision
  • Comfort operating where the playbook is being built alongside the delivery
Our Values
  • We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
  • We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage.
  • We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together.
  • We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
  • We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join Us in Making Waves
If you're looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We're on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.
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