Senior Data Scientist

Summary

Join HubSpot's Finance Data’s Advanced Analytics and Insights (AAI) team as a Senior Data Scientist. You will develop and deploy machine learning models, apply large language models to create Gen-AI applications, partner with finance teams to enhance forecasting, and analyze complex datasets to generate actionable insights. This role requires expertise in Python, SQL, and machine learning, along with strong communication skills. A Bachelor's degree in a related field and 4+ years of experience are required. The position offers a competitive salary and benefits package, including opportunities for professional development and collaboration within a dynamic team.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Operations Research, or related field required
• 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

Responsibilities

• 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

Preferred Qualifications

• Masters preferred
• 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

Benefits

• Cash compensation range: 138500-221600 USD Annually
• This 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
• At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee, or work from the Office