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Hubspot Data Science Jobs (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering ... Experience with CRMs like Salesforce or HubSpot. * Any hands-on project involving LLMs or prompt ...

Tergar International

Data Engineer

Minneota, MN · Remote

Collaborate with data scientists, analysts, and business stakeholders to understand data needs and ... Experience working with CRM platforms, especially HubSpot, including familiarity with the HubSpot ...

New

Later

Director, Data and Analytics

Boston, MA · On-site

Experience building predictive models, forecasting tools, or data science-adjacent products (Python ... Familiarity with CRM/GTM tools (Salesforce, HubSpot) and product analytics platforms (Amplitude ...

Apollo.io

Senior Data Scientist - Product

... of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly ... Data Scientist to help shape our product strategy and decision-making through data. In this role ...

NLP Logix

Marketing Coordinator

Jacksonville, FL · On-site

$60K - $80K/yr

Interest in AI, machine learning, data science, and technology consulting. Preferred Qualifications * Experience with tools such as HubSpot, Salesforce, Google Analytics, Google Ads, LinkedIn ...

IANS

Marketing Operations Analyst

Boston, MA · Hybrid

... Data Science, or a related field - or equivalent practical experience. * 3-5 years of marketing operations, marketing data, or database administration experience. * HubSpot certified, with hands-on ...

IANS

Marketing Operations Analyst

Boston, MA · On-site

... Data Science, or a related field - or equivalent practical experience. * 3-5 years of marketing operations, marketing data, or database administration experience. * HubSpot certified, with hands-on ...

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Hubspot Data Science information

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$37.5K

$122.7K

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How much do hubspot data science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for hubspot data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a HubSpot Data Scientist, and why are they important?

To thrive as a HubSpot Data Scientist, you need a solid background in statistics, data analysis, and programming (often Python or R), typically supported by a degree in a quantitative field. Familiarity with HubSpot’s CRM, data visualization tools (like Tableau or Power BI), and experience with databases such as SQL are essential. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies enable data-driven decision-making, actionable insights, and successful collaboration with marketing and sales teams.

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

AspectHubspot Data ScienceHubspot Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and programmingDegree in Analytics, Business, or related field; proficiency in data visualization and reporting tools
Work EnvironmentFocus on developing models, algorithms, and predictive analytics within Hubspot platformFocus on interpreting data, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in marketing, sales, and customer success teams to build predictive models and insightsUsed across teams to analyze data trends, generate dashboards, and inform strategies

Hubspot Data Science involves building advanced models and algorithms to extract insights, requiring technical skills in programming and statistics. In contrast, Hubspot Data Analysts focus on interpreting data, creating reports, and supporting strategic decisions with visualization tools. Both roles are essential in leveraging Hubspot data but serve different functions within organizations.

How does a Data Scientist at HubSpot typically collaborate with product and engineering teams to drive business impact?

As a Data Scientist at HubSpot, you’ll regularly partner with product managers and engineers to identify key business questions and design experiments or models that inform product decisions. You’ll often participate in cross-functional meetings, sharing analytical findings and translating complex data insights into actionable recommendations. This collaborative environment enables you to see the direct impact of your work on product features and customer experience, while also learning from diverse perspectives within the company. Close collaboration is crucial, as it ensures data-driven strategies are aligned with both technical feasibility and business goals.

What is HubSpot Data Science?

HubSpot Data Science refers to the use of data analysis, machine learning, and statistical techniques within the HubSpot platform to help businesses make data-driven decisions. Data scientists at HubSpot work on projects such as customer segmentation, lead scoring, predictive analytics, and improving marketing or sales processes. Their work enables organizations to optimize campaigns, personalize customer experiences, and gain actionable insights from their data. This role often involves collaborating with product, engineering, and marketing teams to create data solutions that drive business growth.

AI Data Engineer

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Posted 9 days ago

Job description

Salary: $50,000 to $90,000

AI Data Engineer

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Configure and deploy AI Cloud Employees for customers, with a focus on data integrations, API connections, and workflow logic.
  • Join client calls to understand data environments and help translate business needs into AI workflows, including prompt design, data mappings, and QA checks.
  • Troubleshoot data and integration issues with support from senior team members. Trace problems, find root causes, and work toward solutions.
  • Document data patterns, integration playbooks, and technical reference materials that help the whole team move faster.
  • Share product feedback with Engineering and Product teams, including data handling gaps, integration limitations, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also welcome.
  • Comfortable working with data. Maybe you've written SQL queries, built a small pipeline, worked with APIs, or cleaned up messy datasets in a class or side project.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage.
  • A clear communicator who can walk non-technical teammates and clients through technical concepts without jargon.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.