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Hubspot Data Science Jobs (NOW HIRING)

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Data Science Consultant

Mountain View, CA

We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io ... Who we're looking for: * 3+ years of experience as a data scientist with a strong analytical ...

career

Data Science Consultant

Mountain View, CA · On-site

We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io ... Who we're looking for: * 3+ years of experience as a data scientist with a strong analytical ...

career

Data Science Consultant

Mountain View, CA · On-site

We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io ... a data scientist with a strong analytical instinct, ability to translate ambiguous business ...

IFLOWSOFT Solutions Inc.

Senior Data Engineer

Calhoun, GA

$93K - $127K/yr

... , Salesforce, HubSpot, and other SaaS platforms · Design analytical data models, fact and ... Science, Information Systems, or equivalent experience · 5+ years of experience in data ...

New

Reef Capital Partners

Website Developer (HubSpot)

Lehi, UT · On-site

$80K - $105K/yr

Design for data integrity, error handling, retries, logging, and monitor for performance issues and ... Bachelor's in Computer Science/IT or related field (or equivalent practical experience) * Portfolio ...

Reef Capital Partners

Website Developer (HubSpot)

Lehi, UT · On-site

$80K - $105K/yr

Design for data integrity, error handling, retries, logging, and monitor for performance issues and ... Bachelor's in Computer Science/IT or related field (or equivalent practical experience) * Portfolio ...

Reef Capital Partners

Website Developer (HubSpot)

Lehi, UT · On-site

$80K - $105K/yr

Design for data integrity, error handling, retries, logging, and monitor for performance issues and ... Bachelor's in Computer Science/IT or related field (or equivalent practical experience) * Portfolio ...

BetterUp

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.). * Demonstrated ability ... Bachelor's degree in Computer Science, Data Science, Engineering, or a related field-or equivalent ...

Biotech Recruiting

Operations Manager

Saint Petersburg, FL · On-site

$90K - $120K/yr

Audit and rebuild integrations across Acumatica, Shopify, and HubSpot to improve automation, data ... Background in life sciences, biotechnology, or laboratory supplies * Experience with inventory ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

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

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

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

Atonom

Data Engineer

Provo, UT · On-site

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

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

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 ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

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 ...

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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.

Data Science Consultant

career

Mountain View, CA

Contractor

Posted 9 days ago

Job description

About DeepLearning.AI:

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
 
Why we need you:

We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io, website analytics, NPS surveys, and more - and strong engineering capacity. We know the broad shape of the questions we want to answer, spanning topics such as growth, retention, monetization, and product engagement. We’re now looking to build a solid analytical layer - someone to translate our business questions into the right metrics, dig into the data to actually answer them, and - as a byproduct - leave behind a clean, durable data foundation that gets stronger with each cycle.

We are looking for a short-term consultant to work directly with our COO and business units leaders on the above, be able to generate value in week one and build the architecture iteratively against real questions. 
What you'll do:

You'll be partnering and working closely with our COO and our data team from day one - not handing off specs for the team to build but rather doing real hands-on collaborative work (SQL, dbt, Python, whatever the right tool is).

The model we have in mind:

  • First week: lightweight orientation on existing pipelines, warehouse, and Metabase setup. Stakeholder conversations with leaders across Product, Marketing and other teams. Align on the first ~10 most important metrics and questions to tackle.

  • 2nd week onwards: work through that first batch - define the metrics precisely, perform EDA to answer the questions (including the why behind them and any obviously related questions), ship dashboards or analyses that stakeholders can use, and as you go, build out the data models, naming conventions, and pipeline pieces needed to support those metrics durably. Then move to another batch of ~10, then another, and another, …

With each cycle, we’ll uncover real answers to real business questions, and gain incremental, well-designed foundations that the next cycle can build on.

Deliverables:

We need quick value generated, not beautiful summary decks and long documents.

  • Answered business questions with the reasoning behind them, in whatever format makes them usable.

  • Working data models, transformations, and naming conventions that support those answers durably and that the next cycle can build on (as a byproduct of answering business questions iteratively).

  • A lightweight running, living view of what's been built and what's coming next - only as needed for us to always know where we are.

Who we're looking for:

  • 3+ years of experience as a data scientist with a strong analytical instinct, ability to translate ambiguous business questions into well-defined metrics and the judgment to know which questions are actually worth answering.

  • AI-native builder, leveraging latest tools and AI-assisted coding to dramatically accelerate productivity. Hands-on with SQL and Python, and comfortable doing real EDA.

  • Enough engineering chops to collaborate with our data eng team and make sound calls about data modeling, naming, and transformation layer design.

  • Comfortable asking questions, making suggestions and pushing back in executive meetings.

  • A practical bias - natural tendency to close projects and answer questions iteratively as opposed to designing long and multi-step projects.

  • Bonus: familiarity with the platforms and data sources we use (Stripe, HubSpot, PostHog, customer.io, Google Analytics).

Engagement:
This is a Month-to-month contract engagement, in-office in Mountain View.

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.