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Data Science Sales Jobs (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

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 ...

Walmart

Director, Data Science

Bentonville, AR · On-site

$132K - $260K/yr

Mining large datasets to discover transaction patterns, examine retail data (orders, sales, returns) and isolate targeted information using traditional & advanced data science techniques; Designing ...

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

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

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

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

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

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

Walmart

Director, Data Science

Bellevue, WA

$156K - $312K/yr

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

Gopuff

Director, Data Science

Charleston, WV · Remote

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 ...

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

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 ...

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

... 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 ...

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 ...

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 ...

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

$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 ...

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 ...

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Data Science Sales information

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How much do data science sales jobs pay per hour?

As of Jul 31, 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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of expertise, certifications, and sometimes working in competitive markets or consulting roles.

What is the highest paid job in sales?

In sales, executive roles such as Vice President of Sales or Chief Sales Officer tend to be the highest paid, often earning six-figure salaries plus bonuses and commissions. These positions require extensive experience, strategic skills, and leadership abilities, and compensation varies by industry and company size.

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, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and machine learning are more important than age, and continuous learning through online courses or certifications can help late entrants stay competitive.
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:
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Data Analyst

Connexzia

Scottsdale, AZ

Full-time

Re-posted 7 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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