Principal Cyber Data Scientist
Remote
Nothing gets your heart racing and fingers typing quite like the challenge of a new pile of data and a valuable problem you feel in your bones can be solved with data science. You've built up an impressive repertoire of tools and techniques from various statistical methods to NLP, anomaly detection, and more... and you love nothing more than finding (or adapting) the right tool for the problem at hand. Research is rewarding, but you get the most energy from seeing a project all the way through and seeing the positive impact it has on others.
Does this sound like you? Great!
We’re looking for someone who wants to use data science to help solve business challenges for a variety of teams at Expel. By working across the company to understand areas where data science is needed, you'll help teams develop the right metrics to track efficiency gains while building machine learning applications that find cybersecurity threats in our customers’ environments.
Our team values collaboration and a “how can I help?” attitude. So, if you're someone who cares about making data science digestible to everyone and finds mentorship exciting, we should talk!
What Expel Can Do For You
- Provide opportunities where the decisions you make have a direct impact on our company and our customers
- Empower you to scale yourself by teaching others what responsible, non-hyped machine learning is and how it can make an impact
- Challenge you to push the boundaries of our data science, cybersecurity, and technology vision
- Provide an entertaining, collaborative and highly transparent startup environment
- Empower you to scale yourself by teaching others what responsible, non-hyped machine learning is and how it can make an impact
- Challenge you to push the boundaries of our data science, security, and technology vision
- Provide an entertaining, small and highly transparent startup environment
What You Can Do For Expel
- Employ a range of data sources and data science techniques to identify suspicious behaviors and create more productive alert triage workflows for our SOC analysts.
- Demonstrate the value and effectiveness of Expel's detection and remediation capabilities in compromised environments.
- Scale and improve the use of data science across different teams within Expel. Collaborate with industry specialists to define, research, and implement innovative data science initiatives.
- Foster an atmosphere of experimentation, continuous learning, …
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Authorized to work in the United States
Benefits/PerksBonus eligibility Collaborative environment Continuous learning Equity Excellent health benefits Health benefits Parental leave Unlimited PTO Up to 24 weeks of parental leave Work location flexibility
Tasks- Mentor others
Anomaly Detection Applied Statistics Data Science Engineering Hypothesis Testing IT Machine Learning Management Metrics Natural Language Processing Numpy Pandas Plotly Product Product Management Python Research Scikit-learn Security Security Operations SQL Statistics TensorFlow
Experience6 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9