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Data Science Sales Jobs (NOW HIRING)

Inspire11

Data Science Consultant

Chicago, IL

Turn it up to 11 as a Data Scientist ! Elevens, as we call ourselves here, are passionately curious ... Bonuses We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

Turn it up to 11 as a Data Scientist ! Elevens, as we call ourselves here, are passionately curious ... Bonuses We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

PURE Insurance

Director, Data Science

PURE is seeking a Director, Data Science to help professionalize, scale, and lead our data science ... sales staff actually do their work. * Serve as a principal participant in our cross-functional tech ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

Amazon

Data Scientist, Sales AI

New York, NY

We are a growing science and engineering team with an exciting charter and need your passion ... data science problems and actionable recommendations for your product, engineering, and sales ...

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

Own the data science and AI behind post-sales product experiences, including the support agent, onboarding intelligence, and customer success automation-from design through production deployment ...

Amazon

Data Scientist, Sales AI

New York, NY

We are a growing science and engineering team with an exciting charter and need your passion ... data science problems and actionable recommendations for your product, engineering, and sales ...

Canva

Data Science Manager - GTM Sales

Austin, TX

We're looking for a data science leader who is energised by GTM problems and motivated to make Sales and CS smarter through data. You'll be at your best if you've spent time in or close to a B2B SaaS ...

Gusto

Head of Sales Data Science & Analytics

Manhattan, NY · On-site

$218 - $255/hr

Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire ...

Gusto

Head of Sales Data Science & Analytics

Denver, CO · On-site

$218 - $255/hr

Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire ...

Quantium

Data Science & AI Director

Austin, TX

As Director, Data Science, you'll lead the technical direction for our Consumer & Retail data ... Contribute to technical scoping, effort estimation and client presentations during pre-sales ...

The Knot Worldwide

VP, Data Science

... Marketing, and Sales. RESPONSIBILITIES: Experimentation & Measurement * Define and scale ... Advanced Data Science * Lead applied data science across personalization, marketplace dynamics ...

Gopuff

Director, Data Science

Collaborate with the Ads Product and Sales teams to grow advertiser ROI while protecting the organic shopping experience. What We're Looking For Required * 8+ years in applied data science or ML ...

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Data Science Sales information

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How much do data science sales jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science sales in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.31 per hour, depending on experience, location, and employer.

What is Data Science Sales?

Data Science Sales refers to the specialized role of selling data science products, solutions, or services to businesses and organizations. Professionals in this field combine technical knowledge of data analytics, machine learning, and AI with strong sales and communication skills to help clients understand the value and applications of data-driven technologies. They identify customer needs, demonstrate how data science can solve business problems, and guide clients through the purchasing process. This role often requires collaboration with technical teams and a deep understanding of both the product and the customer's industry.

What are the key skills and qualifications needed to thrive as a Data Science Sales professional?

To thrive as a Data Science Sales professional, you need a solid understanding of data analytics concepts, business acumen, and experience with sales processes, often supported by a relevant bachelor's degree. Familiarity with CRM systems like Salesforce, data visualization tools, and sometimes certifications in analytics or sales methodologies are valuable. Exceptional communication, relationship-building, and problem-solving skills help differentiate top performers in this role. These competencies enable professionals to effectively bridge technical solutions with client needs, driving revenue and long-term partnerships.

How does a Data Science Sales professional typically collaborate with technical teams and clients during the sales process?

In Data Science Sales, professionals frequently act as a bridge between clients and technical teams. They work closely with data scientists and engineers to understand the capabilities and limitations of solutions, ensuring that client requirements are accurately translated into technical deliverables. Throughout the sales cycle, they often participate in client meetings, product demonstrations, and technical discussions, providing clear communication and managing expectations. This collaborative approach helps to build trust, clarify value propositions, and ensure successful project outcomes.

What is the difference between Data Science Sales vs Data Analyst?

AspectData Science SalesData Analyst
Required CredentialsBachelor's degree in Business, Marketing, or related fields; sales experience; knowledge of data productsBachelor's or higher in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentClient-facing, sales meetings, presentations, collaboration with data teamsData exploration, reporting, visualization, working with datasets
Employer & Industry UsageTech companies, consulting firms, data product vendorsFinance, healthcare, marketing, and other industries requiring data insights

Data Science Sales focuses on selling data-driven solutions and products, requiring sales skills and industry knowledge. Data Analysts analyze data to generate insights, requiring technical data skills. While both roles involve data, their core functions and skill sets differ significantly.

How to get into data science sales?

To enter data science sales, candidates should develop a strong understanding of data science concepts, analytics tools, and business applications. Relevant skills include technical knowledge of data platforms, communication abilities, and experience with sales processes or client management. Gaining certifications in data analytics or sales can also enhance prospects.
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What states have the most Data Science Sales jobs?

States with the most job openings for Data Science Sales jobs include:

What job categories do people searching Data Science Sales jobs look for?

The top searched job categories for Data Science Sales jobs are:

Data Science Sales jobs near you
Infographic showing various Data Science Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Director Data Science, Measurement

Samba

San Francisco, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
Reporting to our VP of Data Science, Samba is looking for a Director of Data Science to lead our Measurement science team - the group responsible for building the statistical frameworks, causal models, and attribution methodologies that power Samba's core measurement products. You will own the science and delivery for a portfolio spanning incrementality measurement, multi-touch attribution, reach and frequency modeling, and audience intelligence, working closely with Product to shape direction and with Engineering to bring solutions to production.
You are a senior technical leader first. You bring deep, hands-on expertise in causal ML, statistical modeling, and measurement science - enough to drive architectural decisions, mentor senior data scientists, and engage credibly in design reviews. You also know how to build and run a high-performing team, communicate clearly to executive and external audiences, and keep complex multi-workstream delivery on track.
WHAT YOU'LL DO
  • Measurement Science Strategy: Partner with Product to define the measurement science roadmap - spanning incrementality, multi-touch attribution, reach/frequency estimation, panel calibration, and audience targeting. Translate business and client priorities into well-scoped quarterly plans and sprint commitments.
  • Technical Leadership: Lead design reviews and architecture decisions across the team. Drive the application of Causal ML - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - as the primary framework for measuring ad effectiveness, alongside rigorous command of the broader toolkit: A/B testing, DiD, synthetic control, Bayesian hierarchical models, and panel methodology.
  • Delivery & Execution: Own end-to-end delivery across the team's measurement science portfolio - managing dependencies, removing blockers, and ensuring timely delivery of high-quality work across multiple concurrent workstreams.
  • Scientific Standards & Data Quality: In partnership with Engineering, set and maintain standards for experimental design, model evaluation, reproducibility, and production readiness. Co-own the data quality framework that ensures the robustness and consistency of measurement products used by clients and internal stakeholders.
  • Best Practices & MLOps: In partnership with Engineering, develop and implement best practices for the full DS lifecycle - data management, modeling, evaluation, pipeline orchestration, and production deployment on Databricks/Spark.
  • People & Team Leadership: Lead, mentor, and grow a team of data scientists - owning hiring, performance reviews, career development, and individual goal-setting aligned to Samba's leveling framework. Build a high-accountability culture grounded in technical rigor, psychological safety, and continuous learning.
  • Cross-functional Partnership: Collaborate with Product, Engineering, and Business Development to define and execute data-driven measurement projects. Support Sales and Marketing with technical positioning and clear articulation of Samba's measurement capabilities.
  • Stakeholder Communication: Translate complex causal and statistical findings into clear, actionable insights for technical and non-technical audiences. Represent the team to senior leadership and external stakeholders, and contribute a credible technical voice to client conversations and industry forums.

WHO YOU ARE
  • 8+ years of hands-on data science experience with at least 2-3 years in a people management role, including demonstrated ability to hire, develop, and retain senior data scientists
  • Deep, first-principles expertise in Causal ML - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising measurement or media outcomes; familiarity with EconML, DoWhy, or CausalML a plus
  • Solid command of the broader measurement science toolkit: A/B testing, difference-in-differences, synthetic control, propensity scoring, Bayesian hierarchical models, and panel methodology - with clear intuition for when to apply each approach and what its limitations are
  • Strong statistical and ML foundations - regression, classification, experimental design, model evaluation, and the ability to reason clearly about trade-offs between modeling approaches
  • Expert-level Python and SQL; strong PySpark and Databricks experience for large-scale measurement pipelines
  • Track record of owning and delivering complex, multi-workstream data science projects on time in a fast-moving environment
  • Excellent communicator - able to translate causal and statistical reasoning into language that drives product, sales, and executive decisions
  • Bachelor's degree required in Statistics, Computer Science, Mathematics, or a related quantitative field; Master's or PhD strongly preferred
  • Direct experience with TV or digital measurement - ACR/STB data, viewership panels, reach/frequency modeling, or cross-platform measurement (linear + CTV/OTT)
  • Hands-on experience with multi-touch attribution (MTA) or multi-channel attribution modeling - understanding of rule-based limitations and the methodological trade-offs of data-driven alternatives
  • Familiarity with the measurement vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC accreditation, GRP/TRP frameworks)
  • Experience with audience segmentation, identity resolution, or privacy-preserving measurement approaches
  • Track record of publishing research, white papers, or presenting at industry conferences

$200,000 - $250,000 a year
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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