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Senior Data Scientist
ExpelSenior 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.
Tech Stack
Tools & technologiesCyber 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