Manager, Data Science

🕒 May 5

🇺🇸 United States – Remote

💵 $151k - $219k / year

⏰ Full Time

🟡 Mid-level

🟠 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

• Lead the data science team to work on small-to-medium scale, high-impact R&D projects • Coach and develop your team through regular 1:1s, performance reviews, and career conversations • Foster a culture of responsible AI, innovation, and technical excellence • Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy • Collaborate with peer teams to define Expel's generative AI and LLM strategy • Engage in resource planning, technical decision making, and budget management • Define clear, measurable milestones for research initiatives • Contribute to and maintain responsible AI practices • Partner with Marketing to develop blogs, papers, and talks

🎯 Requirements

• Proven track record leading and managing data science teams (4+ years) • Strong hands-on experience designing, deploying, and scaling ML solutions in AWS and/or GCP • Extensive Python experience, including transitioning exploratory models from Jupyter into production-ready code • Proficiency in Python data science frameworks (e.g., TensorFlow, PyTorch, Pandas, Scikit-Learn) • Hands-on experience with generative AI and LLM frameworks • Familiarity with MLOps platforms and vector databases • Experience building or overseeing agentic AI workflows • Solid software engineering practices: Git, CI/CD, code review, testable code • Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred

🏖️ Benefits

• Unlimited PTO (that leadership models and encourages) • Up to 24 weeks of parental leave • Really excellent health benefits • Professional growth with a conference benefit and continuous learning opportunities • Work location flexibility, including remote from your home office