Hunter Strategy Logo

Hunter Strategy

Cyber Data Scientist

Posted 8 Days Ago
Remote
Hiring Remotely in United States
130K-140K Annually
Senior level
Remote
Hiring Remotely in United States
130K-140K Annually
Senior level
Develop, deploy, and operationalize analytical and ML/AI models for cybersecurity use cases. Collaborate with product and engineering teams to enable and migrate production workflows, work with databases and data architectures, create visualizations and reports, adopt new cloud orchestration and data virtualization technologies, and mentor junior cyber data scientists.
The summary above was generated by AI

About Hunter Strategy

Hunter Strategy has a unique philosophy to technical project delivery. We treat all our customers like mission partners because they rely on our team to meet their objectives through complex software engineering, cloud operations, and cyber risk management solutions. Hunter Strategy was founded on the premise that IT is 21st century infrastructure - critically important but only instrumentally valuable. Accordingly, our teams look at problems with a single objective: the identification and enablement of the right capability to address the most vexing problems our Mission Partners face. We continue to support our partners' success by leveraging the right technology, with the right plan, and the right team to address tomorrow's challenges today.


Cyber Data Scientist
Salary Range: $130,000 - $140,000 annually

Overview

This role is responsible for developing and deploying analytical models on data and processes. They collaborate with digital product teams to deliver insights to stakeholders, drive automation of processes, and help improve decisions. This position will drive deployment of a variety of models and workflows using cloud-based model orchestration and data virtualization solutions. The role will require exploration and adoption of new technologies made available by IT engineering and cybersecurity teams. It will require close partnerships with other internal teams to shape the solutions as they are developed and to assist in enabling and migrating production workflows.

 

Responsibilities

·Develop and deploy analytical models on data and processes to generate insights, support automation, and improve decision-making.

·Collaborate with digital product teams and internal stakeholders to shape, enable, and migrate production workflows.

·Apply statistics, artificial intelligence, and machine learning techniques to large data sets.

·Use multiple programming languages and data transformation tools to support model development and analysis.

·Work with databases, data structures, and data architectures to support scalable analytical solutions.

· Create visualizations, presentations, and clear quantitative summaries for technical and non-technical audiences.

· Explore and adopt new technologies provided by IT engineering and cybersecurity teams.

· Work independently with limited supervision while maintaining strong attention to detail and effective team collaboration.

· Mentor junior cyber data scientists.
Educational Requirements / Qualifications

·Bachelor’s degree and six (6) years of experience in the data science field; four additional years of related experience may substitute for the degree.

·Proficiency in mathematical modeling, including theory, modeling and identification strategies, and limitations or pitfalls.

·Experience with relational database management systems and open-source frameworks.

·Experience with machine learning or artificial intelligence.

·Familiarity with the Risk Management Framework (RMF) process.
This posting is for a current vacancy and the employer intends to fill this position by June 30th, 2026.

Similar Jobs

14 Minutes Ago
Remote or Hybrid
United States
242K-335K Annually
Senior level
242K-335K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead and develop a team of eight Account Executives for the Commercial (Mid-Market) segment. Drive quota attainment, coaching, forecasting, pipeline accuracy in Salesforce, hiring and onboarding, cross-functional GTM execution, and streamline sales processes while occasionally acting as a player-coach in customer negotiations.
Top Skills: AICRMMeddpiccSaaSSalesforce
17 Minutes Ago
Remote
2 Locations
231K-385K Annually
Mid level
231K-385K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Field‑based Pediatric Clinical Development Medical Director providing pediatric medical and site engagement expertise to accelerate site startup, optimize recruitment, resolve site‑level clinical/operational issues, and inform study execution for pediatric programs (initial focus on rimegepant). Partners with global development leads, study clinicians, and clinical operations to identify sites, support protocol interpretation and feasibility, and communicate actionable site insights to mitigate risks and improve enrollment.
17 Minutes Ago
Remote
2 Locations
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Field‑based pediatric clinical development leader responsible for engaging pediatric investigators and sites, accelerating site startup, optimizing recruitment, resolving site issues, and communicating actionable site insights to study teams. Partners with global development leads, clinical operations, and study clinicians to support pediatric trial feasibility, site identification, and execution, with emphasis on pediatric rimegepant programs and measurable site impact through extensive US travel.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account