Senior Data Scientist II – Finance Data Science

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $153.8k - $246.1k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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HubSpot

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

📋 Description

• 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

• 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

• Benefits are also an important piece of your total compensation package. • Explore the benefits and perks HubSpot offers to help employees grow better.