Sr Data Scientist II - Finance Data Science
HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. Our Finance Data Science 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 data science 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 :
- Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives.
- Apply large language models (LLMs) to create Gen-AI applications leveraging 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 owning end-to-end model lifecycle.
- 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, scikit-learn & popular nlp libraries 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 experience 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 is a HUGE plus!
- 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) is nice to have.
- Familiarity with FP&A metrics, SAAS economics and finance concepts.
Pay & Benefits
The cash compensation below 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 tailored to your skills, experience, qualifications, and other job-related reasons.
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.
Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices aren’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.
We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
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, 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 your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements
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About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
Explore more:
- HubSpot Careers
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HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Operations Research, or related field
- Master's degree
- 4+ years experience as a Data Scientist or ML Engineer owning end-to-end model lifecycle
- Experience solving time series forecasting problems using varied techniques
- Expert-level proficiency in Python and libraries such as Pandas, NumPy, SciPy, scikit-learn and popular NLP libraries
- Strong proficiency in SQL for data extraction and transformation
- Experience leveraging large language models (LLMs) and retrieval-augmented generation (RAG) concepts
- Skilled in ML model monitoring, performance tracking, drift detection, and post-deployment improvement
- Experience leading complex projects and collaborating across functional teams
- Ability to communicate complex technical concepts to business leaders through presentations and written memos
- Proficiency with version control tools such as Git
- Experience with Java
- Experience working with REST APIs to ingest and transform data into S3 buckets
- Knowledge of MLOps, cloud platforms (AWS, GCP, or Azure), and containerization (Docker, Kubernetes)
- Familiarity with FP&A metrics, SaaS economics and finance concepts
HubSpot Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about HubSpot and has not been reviewed or approved by HubSpot.
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Equity Value & Accessibility — Equity grants like RSUs and access to an employee stock purchase plan are seen as meaningful parts of total compensation. Feedback suggests these, alongside competitive base pay, help many feel their contributions are rewarded.
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Leave & Time Off Breadth — Flexible time off, generous parental leave, and a paid sabbatical after tenure provide substantial opportunities to rest and recharge. Feedback suggests this breadth supports a strong work-life fit.
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Wellbeing & Lifestyle Benefits — Comprehensive wellness resources—mental health support, fitness reimbursements, and everyday conveniences like meals or stipends—enhance the overall package. Feedback suggests these perks add tangible value beyond salary.
HubSpot Insights
What We Do
HubSpot is a leading CRM platform that provides software and support to help businesses grow better. Our platform includes marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. Today, thousands of customers around the world use our powerful and easy-to-use tools and integrations to attract, engage, and delight customers. HubSpot was named Glassdoor’s #4 Best Place to Work in 2021, and our award-winning culture has been recognized by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more. We build connections, careers, and employee growth by creating a workplace that values flexibility, autonomy, and transparency. You can learn more about our commitment to creating an inclusive and diverse workplace in the HubSpot Culture Code. HubSpot is a hybrid company with employees working fully remotely, from an office, or a mix of the two. We are headquartered in Cambridge, MA with offices in Dublin, Ireland; Singapore; Sydney, Australia; Tokyo, Japan; Berlin, Germany; Paris, France; Bogotá, Colombia; Ghent, Belgium; San Francisco, CA; Portsmouth, NH; London, UK; Toronto, Canada.
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