Data Scientist at Expel

Job description

You are passionate about transforming complex data into actionable insights and tools that make people more efficient. You thrive on the challenge of gathering, cleaning, and analyzing diverse data sources to find the "hidden truth" that drives real customer value. Your ideal role involves using a blend of computer science, statistics, and machine learning to translate information security data into organizational knowledge. While you enjoy research, you get the most energy from seeing your work—from predictive models to Gen AI applications—directly impact cybersecurity outcomes. Does this sound like you? Great! We’re looking for a Data Scientist who wants to automate routine decisions and empower our humans to be more efficient. You’ll work alongside our Detection and Response (D&R) Engineering and Security Operations Center (SOC) teams to deliver quick, iterative wins that improve how we detect and investigate cybersecurity incidents. Our team values collaboration and a team-focused mindset. If you are an adaptable problem-solver who enjoys working with others to turn noisy data into clear capabilities, 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 Grow through collaborative mentorship and hands-on stretch assignments 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 Support our security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI. Work across our operations, engineering and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities. Drive business decisions by translating data insights into clear, actionable knowledge for the organization. Foster an atmosphere of experimentation, continuous learning, and improvement. Maintain and enhance our existing models while supporting new data science initiatives. Contribute to Expel’s external voice through blog posts and conference speaking. What you should bring with you Ability and desire to collaborate and work with teams throughout the organization to foster research and innovation 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 an amorphous problem domains Deep proficiency with Python (pandas, numpy, sklearn) and SQL for model development. Knowledge of statistics (distributions, hypothesis testing, probability, etc.) Proficiency of a few popular data science and visualization frameworks such at scikit-learn, plotly, pandas, and numpy, and the underlying statistics that drive them Understanding of data engineering and proven experience with cloud deployment best practices Prefers 3+ years of data science experience creating models, analyzing data and drawing conclusions, recommending next steps, and summarizing key results to stakeholders A Bachelor’s degree in Math, Statistics, or Computer Science (or equivalent experience in AI/ML). Additional information The base salary range for this role is between $118,400 USD and $171,700 USD + bonus eligibility and equity. While the full salary band reflects our long-term compensation framework, we're primarily targeting candidates between $135,000 and $160,000 based on experience, skills, and market data. At Expel, our employee benefits reflect our commitment to our crew. Unlimited PTO, equity for everyone, work location flexibility, up to 24 weeks of parental leave, and excellent health benefits are some of the ways we care for our Expletives. We’re only hiring those authorized to work in the United States. We do not currently sponsor immigration visas. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, age, 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 essential job functions, and to receive other benefits and privileges of employment. Please let us know if you need accommodation of any kind. #LI-Remote Salary Range $118,400 — $171,700 USD

Requirements

Must-haves

Does this sound like you? Great!
Our team values collaboration and a team-focused mindset. If you are an adaptable problem-solver who enjoys working with others to turn noisy data into clear capabilities, 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
Grow through collaborative mentorship and hands-on stretch assignments
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
Support our security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI.
Work across our operations, engineering and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities.
Drive business decisions by translating data insights into clear, actionable knowledge for the organization.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Maintain and enhance our existing models while supporting new data science initiatives.
Contribute to Expel’s external voice through blog posts and conference speaking.
What you should bring with you
Ability and desire to collaborate and work with teams throughout the organization to foster research and innovation
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 an amorphous problem domains
Deep proficiency with Python (pandas, numpy, sklearn) and SQL for model development.
Knowledge of statistics (distributions, hypothesis testing, probability, etc.)
Proficiency of a few popular data science and visualization frameworks such at scikit-learn, plotly, pandas, and numpy, and the underlying statistics that drive them
Understanding of data engineering and proven experience with cloud deployment best practices
Prefers 3+ years of data science experience creating models, analyzing data and drawing conclusions, recommending next steps, and summarizing key results to stakeholders
A Bachelor’s degree in Math, Statistics, or Computer Science (or equivalent experience in AI/ML).

Nice-to-haves

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Application prep

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Keywords to mirror

machine learningaipythonsqlml

Platform: greenhouse
Effort: quick

Benefits

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Vision

Pto

Parental Leave