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Expel

Senior Data Scientist

Expel

Senior Data Scientist helping solve meaningful problems through traditional ML and generative AI. Collaborating with teams to develop metrics and tools for a faster and smarter workflow.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $142,900 - $207,200 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • Work across Expel using both traditional machine learning and generative AI to solve meaningful problems
  • Help teams develop the right metrics to measure what matters
  • Build models that surface threats in our customers’ environments
  • Design AI-powered tools that make our analysts faster and smarter
  • Collaborate across operations, engineering, and service delivery to ensure AI and ML capabilities are easy to deploy, monitor, and maintain
  • Partner with subject matter experts to explore where prompt engineering, knowledge retrieval, and agentic AI can deliver real value alongside classical approaches
  • Mentor and coach other data scientists and curious non-DS colleagues

Requirements

What you’ll need
  • 4+ years of professional data science experience building and shipping models in production
  • Solid grounding in traditional ML: classification, regression, anomaly detection, clustering, time series — using frameworks like scikit-learn or statsmodels
  • Hands-on experience with large language models, prompt engineering, and LLM application architectures including knowledge retrieval and grounding (e.g., embeddings-based search, vector stores)
  • Experience building or contributing to LLM-powered agentic systems, including tool use and orchestration with frameworks like LangChain, LlamaIndex, or similar
  • Strong Python and SQL skills, utilizing core data libraries (pandas/numpy) and visual toolkits (plotly/seaborn/matplotlib) to transform complex analysis into clear, actionable insights for stakeholders and cross-functional peers
  • Solid statistical foundations: distributions, hypothesis testing, probability, and the wisdom to know when a simpler model is the right one
  • Exemplary collaboration skills that result in higher levels of team confidence and morale, streamlining requirements gathering to drive superior output
  • Ability to communicate technical concepts clearly to non-technical audiences
  • Passion for finding order and meaning in large, chaotic data sets
  • Domain experience in cybersecurity (anomaly detection, threat hunting, risk scoring) is a strong plus.

Benefits

Comp & perks
  • Unlimited PTO
  • Work location flexibility
  • Up to 24 weeks of parental leave
  • Health benefits

ATS Keywords

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Hard Skills & Tools
machine learninggenerative AIclassificationregressionanomaly detectionclusteringtime seriesPythonSQLstatistical foundations
Soft Skills
collaborationcommunicationmentoringcoachingproblem-solvingteam confidencemorale boostingrequirements gatheringanalytical thinkingpassion for data