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Senior Data Scientist

HubSpot

Full-time
USA
$138k-$222k per year
python
sql
machine learning
git
data science
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

POS-P114

We’re seeking an experienced data scientist to join HubSpot’s Data, Systems, and Intelligence AI team. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s go-to-market teams (such as Customer Success, Sales, and Marketing. 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. You will be joining a strong and supportive team of data scientists, machine learning engineers, and analytics engineers that highly value intellectual curiosity. 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 and develop a deep understanding of their business problems.

  • 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

  • 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

  • A continued curiosity for the understanding and implementation of new technologies, such as Generative AI.

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.

About the job

Full-time
USA
$138k-$222k per year
25 Applicants
Posted 12 months ago
python
sql
machine learning
git
data science
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Senior Data Scientist

HubSpot
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

POS-P114

We’re seeking an experienced data scientist to join HubSpot’s Data, Systems, and Intelligence AI team. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s go-to-market teams (such as Customer Success, Sales, and Marketing. 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. You will be joining a strong and supportive team of data scientists, machine learning engineers, and analytics engineers that highly value intellectual curiosity. 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 and develop a deep understanding of their business problems.

  • 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

  • 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

  • A continued curiosity for the understanding and implementation of new technologies, such as Generative AI.

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.

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