HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. Our Finance Data’s Advanced Analytics and Insights (AAI) team drives innovation in data technologies to optimize business opportunities. We are expanding our team and seeking an experienced Senior Data Scientist to make a significant impact.

As a Senior Data Scientist on the newly formed Finance AAI team, you’ll tackle key business challenges using data science, machine learning and Gen-AI solutions. This role is ideal for someone who enjoys solving complex data problems and collaborating with stakeholders and fellow data scientists. Strong coding skills in Python and SQL for data analysis, statistical modeling, ML and automation are essential. Experience with Large Language Models (LLMs) is a strong plus and any Java experience is nice to have.

About the role : 

• Develop and deploy scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, and other key finance initiatives.
• Apply large language models (LLMs) to create Gen-AI applications such as chatbots and intelligent agents to support & streamline finance operations.
• Partner with the strategic finance teams to enhance their financial forecasting methods and support data-driven decision-making.
• Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations.
• Establish best practices for data science, opportunity to mentor junior analysts and contribute to the team's professional growth.
• Collaborate with stakeholders, data scientists and MLEs across various business groups to develop impactful solutions.

About you :

• Bachelor’s degree in Data Science, Computer Science, Statistics, Operations Research, or related field required. Masters preferred.
• 4+ years of experience as a Data Scientist or ML Engineer in a fast-paced environment.
• Demonstrated experience in solving time series forecasting problems using a variety of techniques, along with delivering a broad range of other ML/AI solutions to address diverse business challenges.
• Expert-level proficiency in Python, with hands-on experience using key libraries such as Pandas, NumPy, SciPy, and scikit-learn, along with strong expertise in version control tools like Git.
• Skilled in ML model monitoring, including tracking performance, detecting drifts and ensuring continuous improvement post-deployment.
• Experience leveraging large language models (LLMs) and familiarity with retrieval-augmented generation (RAG) concepts.
• Strong proficiency in SQL for data extraction and transformation.
• Ability to clearly communicate complex technical concepts to business leaders through presentations and written memos.
• Experience leading complex projects and collaborating across functional teams.

What Sets You Apart

• Experience with generative AI applications such as chatbots or autonomous agents.
• Proficiency in Java
• Experience working with REST APIs to ingest and transform data into S3 buckets.
• Knowledge of MLOps for managing the ML lifecycle, with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with FP&A metrics, SAAS economics and finance concepts.

Cash compensation range: 138500-221600 USD Annually

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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.

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At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee, or work from the Office, we want you to start your journey here by building strong connections with your team and peers. 

If you are joining our Engineering team in a full-time role, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events such as HubSpot’s annual PEER week, your Product Group Summit, and other in-person gatherings to continue building on those connections.

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India Applicants: link to HubSpot India's equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022 and has been recognized for its award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees across the globe work remotely and in HubSpot offices. Visit our careers website to learn more about the culture and opportunities at HubSpot. 

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