Data Scientist 3

RealmOne • MD

117d

About The Position

RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation’s Security.

Requirements

• Bachelor’s Degree with 10 years of relevant experience or an Associate's degree with 12 years of relevant experience.
• Bachelor's Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language such as Python), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Position requires active Security Clearance with appropriate Polygraph.

Nice To Haves

• Experience in more than one area of data science and machine learning is strongly preferred.
• A Certificate in Data Science from an accredited college/university.

Responsibilities

• Conduct database management and processing, extracting data, and ensuring that dataflow is correct and efficient.
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements.
• Assist others with drawing appropriate conclusions from the analysis of data.
• Effectively communicate complex technical information to non-technical audiences.
• Make informed recommendations regarding competing technical solutions.

Benefits

• Exceptional benefits
• Flexible schedules
• Paid training
• Mentoring

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees