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Data Science Sales Jobs (NOW HIRING)

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 ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... These include developing propensity to purchase, churn, recommender systems, key drivers, sales ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... These include developing propensity to purchase, churn, recommender systems, key drivers, sales ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... These include developing propensity to purchase, churn, recommender systems, key drivers, sales ...

Lead, mentor andโ€ฏgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support ...

Lead, mentor andโ€ฏgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support ...

Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support ...

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 ...

... sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched ... Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ...

That includes everything from the sale of an old car to the financing, purchase, and delivery of a ... Sitting within the broader Data Science organization, this team is responsible for modeling ...

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 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 ...

Manager, Data Science

San Francisco, CA ยท 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 ...

Senior Analyst, Data Science

Coppell, TX ยท On-site

$169K - $222K/yr

About the RoleBuild, validate, deploy, and maintain Data Science and Optimization models pertaining ... sales fluctuations; 3. Hands on experience in at least two of the following areas: Inventory ...

Senior Analyst, Data Science

Coppell, TX ยท On-site

$169K - $222K/yr

About the Role Build, validate, deploy, and maintain Data Science and Optimization models ... sales fluctuations; 3. Hands on experience in at least two of the following areas: Inventory ...

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Data Science Sales information

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How much do data science sales jobs pay per hour?

As of Jun 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 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 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 highest paid job in data science?

The highest paid roles in data science typically include Chief Data Officer, Data Science Director, and Lead Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer salaries exceeding $150,000 annually, especially in large organizations or tech hubs. Compensation varies based on experience, industry, and location.

What is the 80 20 rule in data science?

In data science sales roles, the 80/20 rule, also known as Pareto's principle, suggests that roughly 80% of sales often come from 20% of clients or efforts. Understanding this helps prioritize high-value prospects and optimize sales strategies for better results.

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

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 much do data center sales reps make?

Data center sales representatives typically earn a base salary ranging from $60,000 to $100,000 annually, with total compensation often including commissions and bonuses that can significantly increase earnings. Experienced reps with technical knowledge of data center infrastructure and sales skills can earn over $150,000 per year. Compensation varies based on experience, location, and performance metrics.

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.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those in their 40s. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding machine learning concepts. Age is less important than your ability to adapt and stay current with industry developments.
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 June 2026, with employment types broken down into 1% As Needed, 50% Full Time, 46% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Director, Data Science

Optimize Partners

New York, NY โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Optimize Partners provides IT staffing solutions to tech startups and Fortune 500 companies in the New York metro area, and beyond. One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects.


Responsibilities:

  • As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of complex data projects, and also work externally with bank and other financial services partners.
  • Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed
  • Establish Data Science role models and best practices in the organization
  • Communicating data driven insights to business audiences through simple visualization
  • Make data driven recommendations to improve operational efficiencies in underwriting, marketing, and sales


Qualifications:

  • 4-year degree; advanced degree or post-doctoral preferred.
  • At least 3 years of experience in managing a team of Data Scientists.
  • Overall 10+ years of experience with data science, credit risk management experience is a definite plus
  • 2-4 years of credit risk modeling experience
  • 2+ years of experience with Python programming
  • Extensive, hands-on experience with relevant methodologies in classical statistics, big data, supervised and unsupervised learning models with emphasis on communicating the analysis to business audiences through visual and other methods.
  • Prior experience to creating and allocating relevant individual workstreams to data science team members and be able to synthesize team efforts and prepare succinct presentations to C-level and to the Credit Risk Committee.
  • Ability to interact effectively and independently with other functional units, such as underwriting, marketing, sales, and software developers to address their analytical needs in a time-sensitive environment.
  • Strong conceptual thinking skills, highly motivated, outcome-focused, dynamic, and capable of guiding and inspiring their team to perform at a high level.


What to Expect, If Hired

  • Health, Vision and Dental Insurance
  • 401(k) retirement savings plan, with Employer match
  • Unlimited Paid Time Off
  • Hybrid work location