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Data Science Sales Jobs (NOW HIRING)

WI · On-site

You will lead a PM team, collaborate with engineering, data science, sales, and customers to define a roadmap from zero to scalable products. You will shape vision, manage go-to-market, pricing ...

As a manager of a world-class data science team within a fast-evolving financial landscape, the ... sales Qualifications: * 4-year degree; advanced degree or post-doctoral preferred. * At least 3 ...

Crop Science Sales Intern

Tulsa, OK · On-site

$13 - $17.50/hr

Crop Science Sales Intern As a Crop Science Sales Intern, you will participate in a 12-week ... Customer Centricity, Product Portfolio and Agronomic Knowledge, and Data Analytics and Digital ...

Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact ... high output Data Science teams, with at least 2 years managing other managers * 7+ years of ...

Crop Science Sales Intern

Saint Louis, MO · On-site

$22.75 - $47.75/hr

Sales Intern-9 As a Crop Science Sales Intern, you will participate in a 12-week internship ... Customer Centricity, Product Portfolio and Agronomic Knowledge, and Data Analytics and Digital ...

As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for ... Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser ...

As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for ... Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser ...

Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing ...

Crop Science Sales Intern

Whippany, NJ · On-site

$22.75 - $47.75/hr

Sales Intern-9 As a Crop Science Sales Intern, you will participate in a 12-week internship ... Customer Centricity, Product Portfolio and Agronomic Knowledge, and Data Analytics and Digital ...

... data science, sales, product, and go-to-market. The ideal candidate is an excellent applied statistician and modeler: someone who deeply understands causal inference and predictive methods, knows ...

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Data Science Sales information

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How much do data science sales jobs pay per hour?

As of Sep 11, 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.
More about Data Science Sales jobs

What states have the most Data Science Sales jobs?

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

Infographic showing various Data Science Sales job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Manager 3, Data Science (Sales and Growth)

Mountain View, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees

Full-time

Posted 22 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz


Job description

Join the Intuit Sales Data Science & Analytics team as a Manager 3, Data Science (GBSG Sales) focused on driving growth by leveraging data-driven insights in close partnership with Sales leaders.

We are seeking an experienced and visionary Group Manager, Data Science to lead a high-performing team focused on transforming Sales through advanced analytics, machine learning, and Generative AI. This leader will be responsible for defining the strategic roadmap, building scalable AI-powered capabilities, and delivering measurable business impact across the end-to-end sales lifecycle.

The ideal candidate combines deep expertise in data science and AI with strong business acumen, executive stakeholder management, and a passion for applying Generative AI to solve complex sales challenges. This role will partner closely with Sales Leadership to drive growth, productivity, and customer outcomes.


Responsibilities

·       Influence strategic business decisions and operational decisions by conducting customer segmentation & profiling, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.

·       Build, lead, and mentor a team of data scientists, ensuring growth in technical depth, business acumen, and leadership skills.

·       Drive an AI-first culture by leveraging and promoting the effective use of Generative AI tools (e.g., Claude) to enhance team productivity, improve analytical workflows, accelerate innovation, and scale data science impact.

·       Partner with senior leaders in Sales to embed data-driven decision-making into core operating mechanisms.

·       Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.

·       Proactive explore and identify new business opportunities to help business partners to achieve business goals.

·       Communicate data and insights effectively to business partners of all levels including senior leadership team.

·       Collaborate with other Data Science teams and data engineers to work on cross-functional projects or develop analytics/AI capabilities.


Qualifications

       Minimum 10+ years of experience in analytics or Data Science 

       Minimum 5 years of experience in managing a team of data scientists/analysts.

       10+ years of hands-on experience in SQL and data visualization tools such as Tableau, Qlik. 

       Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLMs, etc., is highly preferred.

       Ability to create analytical frameworks for solving complex business problems with proven track record.

       Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives. 

       Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



Employment Type: Full-Time

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