Hunter Strategy Logo

Hunter Strategy

Cyber Data Scientist

Posted 11 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

19 Minutes Ago
Remote or Hybrid
2 Locations
105K-163K Annually
Senior level
105K-163K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manage and grow strategic partnerships with Presidio and Trace3 by developing and executing joint GTM plans, coordinating cross-functional enablement and marketing, leveraging investments to maximize ROI, aligning with sales leadership, and using data-driven insights to drive partner-sourced revenue and brand elevation.
24 Minutes Ago
Remote or Hybrid
USA
123K-228K Annually
Senior level
123K-228K Annually
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Lead and manage engineering teams building scalable, low-latency fraud detection systems. Drive system design, performance optimization, streaming/event-driven data platforms, Agile delivery, regulatory compliance, and talent development while partnering with product and risk stakeholders to improve automation and platform reliability.
Top Skills: Data Management Platform (Dmp)Distributed SystemsEvent-Driven ArchitectureHigh-Throughput SystemsLow-Latency SystemsRule EnginesStreaming
An Hour Ago
Remote or Hybrid
192K-337K Annually
Expert/Leader
192K-337K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and scaling of role architecture, competency frameworks, collaboration models, and org design governance for the Customer Excellence Group. Partner with leaders, HR, and L&D to translate strategy into practical role mandates, enable role communities, drive stakeholder alignment, and support transformation initiatives to improve organizational effectiveness across a global, matrixed SaaS organization.
Top Skills: Servicenow

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account