Job Description:
Data Scientist
Location: Hybrid On-Site in DC Metro Area (2-3 days per week on client site Pentagon, Alexandria, Falls Church, Arlington)
Clearance Required: Secret
People Centered. Data Driven
Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.
We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.
Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.
Required Education:
- Bachelor's degree in Computer Science or related technical field plus 4 years experience, or Masters Degree in Computer Science with 2 years experience.
Required Skills/Experience:
- Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
- Experience with Jupyter, Spark, and either Tensorflow or PyTorch.
- Previous relevant technical leadership experience.
- Exemplary technical writing skills.
- Prior experience in insider threat detection, fraud detection, or anti-abuse engineering is preferred.
- A traditional background in cybersecurity is not required.
Major Duties/Tasks:
- Support development of insider threat strategy in support of protecting CDAO technical offerings; balance short-term wins with long-term investments to progressively mature CDAO's defenses against insider threats.
- Lead coordination of policy and strategy related to insider threats with industry partners and other DoD components.
- Lead exploration of data sources that are relevant to measuring, identifying, and defending against insider threats.
- Provide technical leadership in developing capabilities to detect insider threats among large user communities, leveraging combination of statistical, classical machine learning, and deep learning methods.
- Write documentation about CDAO's strategic approach to insider threat defense and how it fits within the broader DoD insider threat ecosystem.
About Elder Research, Inc
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning; each week the entire company attends a Tech Talk followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and our positions require US Citizenship.
Equal Opportunity Employer, including disability/protected veterans
PI242100278
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