HubSpot
SaaS
SrDataScientistII-FinanceDataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Data Scientist II- Finance Data Science at HubSpot. Skills: Data Science, Machine Learning, Gen-AI, LLMs. Own end-to-end scalable machine learning models for risk. Apply large language models (LLMs) to create Gen-AI”
Industry & Context.
Solving complex data problems
What They're Looking For.
Must Have
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, Demonstrated experience in solving time series forecasting problems, Expert-level proficiency in Python, Proficiency in SQL for data extraction and transformation, Ability to clearly communicate complex technical concepts to business leaders
Nice to Have
Masters preferred, Experience with Large Language Models (LLMs) is a plus, Java experience is nice to have, Experience with generative AI applications such as chatbots or autonomous agents, Proficiency in Java is a HUGE plus, Knowledge of MLOps for managing the ML lifecycle, Experience in cloud platforms (AWS, GCP, or Azure), Containerization (Docker, Kubernetes) is nice to have, Familiarity with FP&A metrics, SAAS economics and finance concepts
What You'll Do.
Own end-to-end scalable machine learning models for risk
Apply large language models (LLMs) to create Gen-AI
Support communicate findings through impactful reports and presentations
Establish best practices for data science
Mentor junior analysts
Contribute to the team's professional growth
Collaborate with stakeholders
data scientists and MLEs across
Ingest and transform data into S3 buckets
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Collaborate with data scientists; Collaborate with MLEs; Collaborate across functional teams
Communication Scope
Communicate complex technical concepts; Impactful reports; Presentations
Full Job Description
POS-26832 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 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 chall
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