Senior Data Scientist II
New
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HubSpotSales Marketing Technology
Remote - USAFull-TimeSenior
Salary153,800 - 246,100 USD per year
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLGitMachine LearningData scienceLLMMLOps
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.
- Expert-level proficiency in Python, with hands-on experience using key libraries such as Pandas, NumPy, SciPy, scikit-learn & popular NLP libraries.
- Strong expertise in version control tools like Git.
- Skilled in ML model monitoring, including tracking performance, detecting drifts and ensuring continuous improvement.
- Experience leveraging large language models (LLMs) and 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
- 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.
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