Cyber Data Scientist
WFA Digital Insight
As demand for data-driven insights continues to surge, with a reported 25% increase in data scientist hiring in the US last year, professionals with expertise in cyber data science are in high demand. Hunter Strategy's unique approach to technical project delivery sets them apart, and their commitment to leveraging the right technology to address complex challenges is a major draw for top talent. With the remote job market offering greater flexibility than ever, candidates should be prepared to showcase their skills in machine learning, cloud-based model orchestration, and data virtualization. Before applying, it's essential to understand the company's philosophy and how their teams collaborate to drive success.
Job Description
About the Role
The Cyber Data Scientist role at Hunter Strategy is a critical component of the company's mission to deliver complex software engineering, cloud operations, and cyber risk management solutions to their clients. As a key member of the team, the successful candidate will be responsible for developing and deploying analytical models on data and processes, driving automation, and improving decision-making. This will involve close collaboration with digital product teams, internal stakeholders, and other internal teams to shape solutions and enable production workflows.The role will require the exploration and adoption of new technologies provided by IT engineering and cybersecurity teams, as well as the application of statistics, artificial intelligence, and machine learning techniques to large data sets. The ideal candidate will be proficient in multiple programming languages and data transformation tools, with experience working with databases, data structures, and data architectures to support scalable analytical solutions.
As a Cyber Data Scientist at Hunter Strategy, you will be working independently with limited supervision, while maintaining strong attention to detail and effective team collaboration. You will also be expected to mentor junior cyber data scientists and contribute to the company's commitment to innovation and excellence.
What You Will Do
- 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
- Participate in the development of cloud-based model orchestration and data virtualization solutions
What We Are Looking For
- Bachelor's degree and six 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
- Strong programming skills in languages such as Python, R, or SQL
- Experience with data visualization tools such as Tableau or Power BI
- Excellent communication and collaboration skills
Nice to Have
- Experience with cloud-based data platforms such as AWS or Azure
- Familiarity with agile development methodologies
- Certification in data science or a related field
- Experience with containerization using Docker
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the field of cyber data science
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Remote work options and flexible working hours
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance
- Comprehensive health insurance and retirement plans
How to Stand Out
- Highlight your experience with cloud-based model orchestration and data virtualization solutions to demonstrate your ability to work with large datasets and complex systems.
- Develop a strong portfolio that showcases your skills in machine learning, data science, and data visualization.
- Be prepared to discuss your experience with relational database management systems and open-source frameworks, and how you have applied these skills in previous roles.
- Showcase your ability to work independently and as part of a team, and highlight your excellent communication and collaboration skills.
- Research the company's philosophy and approach to technical project delivery to demonstrate your understanding of their unique approach and how you can contribute to their mission.
- Prepare to discuss your experience with data visualization tools and your ability to create clear and concise quantitative summaries for technical and non-technical audiences.
- Be prepared to negotiate your salary based on your experience and qualifications, and don't be afraid to ask about benefits and perks such as remote work options and professional development opportunities.
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