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Senior Data Scientist II – Finance Data Science
HubSpotSenior Data Scientist at HubSpot improving finance operations with data science and ML solutions. Collaborating with teams to develop scalable models and actionable insights.
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Benefits are also an important piece of your total compensation package.
- Explore the benefits and perks HubSpot offers to help employees grow better.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningnatural language processingdata analysistime series forecastingPythonSQLML model monitoringlarge language modelsretrieval-augmented generationdata extraction
Soft Skills
communicationmentoringcollaborationproblem-solvingdata-driven decision-makingproject leadership
Certifications
Bachelor's degree in Data ScienceBachelor's degree in Computer ScienceBachelor's degree in StatisticsBachelor's degree in Operations ResearchMaster's degree in related field