Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * The Opportunity: LATTEART is the agency's implementation of the NIST Risk Management Framework (RMF). LATTEART is a series of applications that fill in various gaps in the agency's RMF needs to include System Registration, Exemption Tracking, Patch Management, and System Monitoring. System Monitoring makes up the bulk of the work LATTEART does on a day-to-day basis. However, this distribution of applications, in conjunction with external partner apps results in difficulties for users navigating the RMF process. The current process forces users to jump from website to website filling out different pieces of information. LATTEART is tasked with creating a unified RMF infrastructure that can hold the entire process in one location. As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the enti re life cycle of a project. Responsibilities: The Data Scientist position leverages Python as a primary language to process data to accurately determine if resources and systems are secure The Data Scientist shall look for outliers to help track the progress of systems through the Risk Management Framework lifecycle. More specifically, the Data Scientist shall identify which System a Resource belongs to determine by various attributes of the identified lost Resource against known potential System information. Qualifications: Required: Background in statistical analysis Experience with building, tuning, and testing predictive models Experience creating analytic charts and dashboards Education: Bachelor's and master's degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) 10 years of experience analyzing datasets and developing analytics 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB An additional 2 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a master’s degree A PhD in a quantitative discipline can be substituted for 4 years of experience Desired: Elasticsearch RegEx Machine learning Natural Language Processing Regression and predictive analysis Python MATLAB or R SQL or Mongodb Metric Database (Grafana/Graphite/Infl uxDB) - ______________________________________________________________________________ **What You Can Expect:** **A culture of integrity.** At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. **An environment of trust.** CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. **A focus on continuous growth.** Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. **Your potential is limitless.** So is ours. Learn more about CACI here. (https://careers.caci.com/global/en/life-at-caci) ______________________________________________________________________________ **Pay Range** : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here (https://careers.caci.com/global/en/employee-benefits) . The proposed salary range for this position is: $119,800 - $263,600 _CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic._