Senior Data Scientist

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $142.9k - $207.2k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Expel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🔒 Cybersecurity

☁️ SaaS

Cybersecurity • SaaS • Technology

Expel is a leading cybersecurity company specializing in Managed Detection and Response (MDR) services. They offer a range of solutions, including phishing investigation, threat hunting, and vulnerability prioritization, tailored for organizations of all sizes with 24x7 protection. Expel's Security Operations Platform, Expel Workbench™, integrates with existing tech to enhance security operations. Their expert team and advanced technology help reduce alert noise, respond swiftly to incidents, and improve overall security posture, enabling organizations to focus on core business activities without worrying about cybersecurity threats.

📋 Description

• 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

• 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

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