Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $118.4k - $171.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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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

• Support security analysts by improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI • Work across operations, engineering, and service delivery teams to deploy, monitor, and manage machine learning capabilities • Translate data insights into clear, actionable organizational knowledge to drive business decisions • Foster experimentation, continuous learning, and improvement • Maintain and enhance existing models while supporting new data science initiatives • Contribute to Expel's external voice through blog posts and conference speaking • Transform complex information-security data into actionable insights and tools that improve cybersecurity outcomes

🎯 Requirements

• Ability and desire to collaborate with teams throughout the organization • Ability to communicate technical data science concepts to various audiences, especially non-data-science experts • Passion for finding order and meaning in large, chaotic data sets and amorphous problem domains • Deep proficiency with Python, including pandas, numpy, and sklearn • SQL proficiency for model development • Knowledge of statistics, including distributions, hypothesis testing, and probability • Proficiency with data science and visualization frameworks such as scikit-learn, plotly, pandas, and numpy • Understanding of data engineering • Proven experience with cloud deployment best practices • 3+ years of data science experience creating models, analyzing data, drawing conclusions, recommending next steps, and summarizing key results to stakeholders • Bachelor's degree in Math, Statistics, or Computer Science, or equivalent experience in AI/ML • Authorized to work in the United States • No immigration visa sponsorship available

🏖️ Benefits

• Bonus eligibility • Equity for everyone • Unlimited PTO • Work location flexibility • Up to 24 weeks of parental leave • Excellent health benefits • Collaborative mentorship • Hands-on stretch assignments • Small, transparent startup environment