Senior Data Scientist - job 1 of 2

POS-27525

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HubSpot’s mission is to help millions of companies Grow Better. We believe data science (DS) and AI will allow our Go-to-Market (GTM) teams to more effectively serve our customers. We’re seeking a talented, experienced Senior Data Scientist to join our Data, Systems & Intelligence (DSI) team to support internal Sales and Customer Success (CS) clients through the delivery of scalable AI/ML and other data products. 

You will be joining a high-growth, high-powered team of Data Scientists, ML Engineers, and Analytic Engineers that deeply values intellectual curiosity, collaboration, and autonomy. You will have an enormous impact in a rapidly growing space–we’ve got big plans and want talented, passionate data scientists to help us achieve them. Successful candidates will need to work with stakeholders to deeply understand their business problems, creatively design data science based solutions, and lead the timely execution of the chosen plan. HubSpot was also voted one of the 100 best companies to work for in 2021, 2022, and 2023.

Objectives of this Role

• Build strong relationships with internal stakeholders, develop a deep understanding of their business problems, and act as a trusted advisor for AI solutions 
• Identify and mature data sources that will further data science and business analytics at HubSpot
• Design and build machine learning and statistical models that improve the performance of HubSpot’s go-to-market teams
• Use data to inform key business decisions and communicate findings effectively with senior leadership
• Experiment with Generative AI (LLM) as a potential solution
• Keep current with technical and industry developments

Role Responsibilities and Duties

• Partner with stakeholders and cross-functional teams to identify business problems, scope technical solutions, and build execution plans in a consultative manner
• Query, organize, integrate and clean data from multiple sources including both structured and unstructured data
• Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation
• Lead data science initiatives throughout the entire model life cycle to improve the performance of the go-to-market organization in partnership with internal stakeholders
• Mature the data science practice at HubSpot by contributing to initiatives such as improving internal feature stores or building new infrastructure capabilities
• Execute ad-hoc analytical experiments to rigorously test potential solutions and strategies, as well as identify potential business opportunities
• Communicate solutions to stakeholders and implement improvements as needed to operational systems
• Evangelize and drive adoption of the various data and AI products that you develop.
• Mentor more junior data scientists and analysts

Skills and Qualifications

• 5+ years experience in data science with multiple models deployed in an operational setting. 
• Expert level knowledge in SQL and python programming (experience with DBT a plus)
• Proficient using version controls systems (git/github)
• Ability to effectively communicate data science concepts and results to non-technical audiences. 
• Ability to use data to persuasively present to senior management to inform strategic decision making. 

Preferred Qualifications

• 2+ years of experience leading data science initiatives
• Experience using a deep learning python framework (tensorflow, pytorch, etc)
• Experience building natural language processing models
• Experience prompt engineering and working with large language models (LLMs)
• A continued curiosity for the understanding and implementation of new technologies, such as Generative AI.
• Familiarity with customer success, sales, or marketing is a plus!

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Cash compensation range: 138500-221600 USD Annually

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

HubSpot’s mission is to help millions of companies Grow Better. We believe data science (DS) and AI will allow our Go-to-Market (GTM) teams to more effectively serve our customers. We’re seeking a talented, experienced Senior Data Scientist to join our Data, Systems & Intelligence (DSI) team to support internal Sales and Customer Success (CS) clients through the delivery of scalable AI/ML and other data products. 

You will be joining a high-growth, high-powered team of Data Scientists, ML Engineers, and Analytic Engineers that deeply values intellectual curiosity, collaboration, and autonomy. You will have an enormous impact in a rapidly growing space–we’ve got big plans and want talented, passionate data scientists to help us achieve them. Successful candidates will need to work with stakeholders to deeply understand their business problems, creatively design data science based solutions, and lead the timely execution of the chosen plan. HubSpot was also voted one of the 100 best companies to work for in 2021, 2022, and 2023.

Objectives of this Role

• Build strong relationships with internal stakeholders, develop a deep understanding of their business problems, and act as a trusted advisor for AI solutions 
• Identify and mature data sources that will further data science and business analytics at HubSpot
• Design and build machine learning and statistical models that improve the performance of HubSpot’s go-to-market teams
• Use data to inform key business decisions and communicate findings effectively with senior leadership
• Experiment with Generative AI (LLM) as a potential solution
• Keep current with technical and industry developments

Role Responsibilities and Duties

• Partner with stakeholders and cross-functional teams to identify business problems, scope technical solutions, and build execution plans in a consultative manner
• Query, organize, integrate and clean data from multiple sources including both structured and unstructured data
• Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation
• Lead data science initiatives throughout the entire model life cycle to improve the performance of the go-to-market organization in partnership with internal stakeholders
• Mature the data science practice at HubSpot by contributing to initiatives such as improving internal feature stores or building new infrastructure capabilities
• Execute ad-hoc analytical experiments to rigorously test potential solutions and strategies, as well as identify potential business opportunities
• Communicate solutions to stakeholders and implement improvements as needed to operational systems
• Evangelize and drive adoption of the various data and AI products that you develop.
• Mentor more junior data scientists and analysts

Skills and Qualifications

• 5+ years experience in data science with multiple models deployed in an operational setting. 
• Expert level knowledge in SQL and python programming (experience with DBT a plus)
• Proficient using version controls systems (git/github)
• Ability to effectively communicate data science concepts and results to non-technical audiences. 
• Ability to use data to persuasively present to senior management to inform strategic decision making. 

Preferred Qualifications

• 2+ years of experience leading data science initiatives
• Experience using a deep learning python framework (tensorflow, pytorch, etc)
• Experience building natural language processing models
• Experience prompt engineering and working with large language models (LLMs)
• A continued curiosity for the understanding and implementation of new technologies, such as Generative AI.
• Familiarity with customer success, sales, or marketing is a plus!

---

Cash compensation range: 138500-221600 USD Annually

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.