Principal Cyber Data Scientist

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, and improvement. This includes staying aware of emerging AI and cybersecurity techniques that might benefit Expel.
• Contribute to Expel's external voice through blog posts and conference talks.
• Coach and mentor other individuals at Expel who exhibit strong interest in data science and demonstrate proactive learning behaviors.

What You Should Bring With You

• 6+ years of data science experience creating robust ML applications, analyzing data and drawing conclusions, recommending next steps, and summarizing key results to stakeholders
• Ability to collaborate with customer-facing teams, product management, security operations, and engineering to define and deliver innovative and impactful solutions
• Ability to effectively communicate technical details to a diverse audience 
• Ability to discern when it is appropriate to use greenfield research and when it's best to use more straightforward techniques
• Passion for finding order and meaning in large, chaotic datasets
• Experience with Python and SQL
• Knowledge of common ML techniques (anomaly detection, classification, NLP), applied statistics (distributions, hypothesis testing, probability), and their mathematical underpinnings
• Expert knowledge of popular data science and visualization frameworks, such as scikit-learn, TensorFlow, plotly, pandas, and numpy
• Passion for teaching and mentoring others about data science
• Experience applying machine learning in cybersecurity is a plus

The Details

The base salary range for this role is between $163,000 USD and $236,000 USD + bonus eligibility and equity.

We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.

We're only hiring those authorized to work in the United States.

We're an Equal Opportunity Employer: You will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We’ll ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please let us know if you need accommodation of any kind.

#LI-Remote