<h3>Job Description</h3><div>Job Description<div><div>DATA SCIENTIST (Remote Option Available)</div> Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.  What We Do: At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You’ll Do: As a Data Scientist, you’ll be supporting our Federal customer and will be responsible for helping identify intelligence hidden in vast amounts of data and illuminating networks of concern and direct investigative decisions in order to deliver high quality investigative products.  The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems, and integrating these specialties and results with our products. Responsibilities will include but are not limited to:<ul><li>Using classified and unclassified systems in support of creating targetable opportunities by identifying individuals and organizations that pose a threat to our customer’s employees and their infrastructure.  </li><li>The ability to select features and build and optimize classifiers using machine learning techniques associated with automation when working with large data sets. </li><li>Proven experience creating usable tools and systems to streamline processes and reduce manual resource hours.</li><li>Utilize state-of-the-art methods to mine large data sets in various formats and from various sources at their access to produce intelligence products to support our customers strategies and mission.</li><li>Utilize any available third-party data sources to enhance and extend the customer’s data to provide a more comprehensive analytical picture.</li><li>Enhance data collection procedures to automate repetitive processes, include relevant data for building analytical systems. </li><li>Process, cleanse and verify the integrity of the data.</li><li>Conduct ad-hoc analysis and present results in a clear manner which could include presentations, written documents and/or graphs and charts for visual aids.</li><li>Create an automated detection system with internal tracking of its performance.</li><li>Assist with general IT support as needed for the skill level of the data scientists.</li><li>Enhance and support a Cloud resource hosting solution</li></ul> What You’ll Need<ul><li>8+ years of experience as a Data Scientist</li><li>Strong abilities in Data Mining</li><li>Ability to perform statistical analysis</li><li>Proven experience building high quality prediction systems</li><li>US Citizenship or Permanent residency </li><li>Active Security Clearance at the Secret Level, or ability to obtain Security Clearance.</li></ul>Navitas Business Consulting Inc. is an Equal Opportunity Employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.  Powered by JazzHRexR4AJgiAR</div></div>

Secure our Nation, Ignite your Future Overview Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure. In response to this challenge, ManTech, as a trusted mission partner of CBP, seeks capable, qualified, and versatile Data Scientists to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Further, highly competitive applicants will have a demonstrated capacity to: work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and, apply new and emerging tools and techniques. Within three - six months of joining the project, Data Scientists will be expected to: <ul><li>Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.</li><li>Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li><li>Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.</li></ul> Required Qualifications <ul><li>Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li><li>Experience with programming languages including: R, Python, Scala, Java.</li><li>Proficiency with SQL programming</li><li>Experience constructing and executing queries to extract data in support of EDA and model development</li><li>Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent</li><li>Experience with pattern recognition and extraction, automated classification, and categorization</li><li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li><li>Experience with unsupervised and supervised machine learning techniques and methods</li><li>Experience performing data mining, analysis, and training set construction</li></ul> Desired Qualifications <ul><li>Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li><li>Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>Experience with pattern recognition and extraction, automated classification, and categorization</li><li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li><li>Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)</li><li>Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li><li>Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience</li></ul> Education: <ul><li>HS Diploma/GED and 15+ years AS/AA and 13-18 years BS/BA and 7-12 years MS/MA/MBA and 5-9 years PhD/Doctorate and 3-7 years</li></ul> Certification: <ul><li>None</li></ul> Clearance: <ul><li>Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability.</li></ul> Physical Requirements: <ul><li>Office work, typically sedentary with some movement around the office</li></ul> The projected compensation range for this position is $122,600-$204,200. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it's employees beyond just compensation. ManTech's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone. ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information.

Job Details Job Location VA, Sterling - Corporate Office - Sterling, VA Position Type Full-Time Education Level Bachelor's Degree Travel Percentage None Job Shift Day Job Category Corporate Description Centurion is proud to be a leading provider of comprehensive healthcare services to correctional facilities, state hospitals, and community mental health centers nationwide. We are currently seeking a Data Analyst II to join our IT team located in Sterling, VA. The Data Analyst II will be responsible for collecting, processing and analyzing data to extract insights and support decision -making. Responsibilities will include: <ul><li>Work in two-week sprints on full project lifecycles with a team of eight data professionals </li></ul><ul><li>Attend team meetings and collaborate with management on project planning/revisions</li></ul><ul><li>Create data pipelines: set up data flows, become subject matter expert, write R/Python/SQL code for cleaning, standardizing, creating SQL tables/procedures for automated data refreshes with email notifications</li></ul><ul><li>Write code for aggregated datasets to feed BI dashboards</li></ul><ul><li>Adapt code to enable regular refreshes of aggregated datasets</li></ul><ul><li>Create pipelines to push aggregated data to data warehouse</li></ul><ul><li>Create BI dashboards following defined conventions</li></ul><ul><li>Write and maintain project documentation and user guides</li></ul><ul><li>Present dashboards to leadership/users and gather feedback</li></ul><ul><li>Adapt aggregated datasets and dashboards based on feedback</li></ul><ul><li>Monitor dashboard integrity regularly</li></ul><ul><li>Communicate via Slack, Zoom, and email</li></ul><ul><li>Engage in brainstorming, idea sharing, and continuous learning</li></ul> Qualifications <ul><li>Think innovatively and enjoy challenges</li></ul><ul><li>Collaborate enthusiastically to learn and share concepts</li></ul><ul><li>Excited to work with health and operations data for incarcerated population</li></ul><ul><li>Willing to train healthcare staff onsite occasionally</li></ul><ul><li>Fluent in at least two of R, SQL, Python (no ChatGPT generated code)</li></ul><ul><li>Proficient in creating BI dashboards with multiple sources, calculated fields, parameters</li></ul><ul><li>Willingness to learn new languages/tools as needed</li></ul><ul><li>Provide 2 professional references verifying claimed abilities</li></ul><ul><li>Demonstrate coding proficiency via live coding session</li></ul> We offer excellent compensation and comprehensive benefits for our full-time team members including: <ul><li>Health, dental, vision, disability and life insurance</li><li>401(k) with company match</li><li>Generous paid time off</li><li>Paid holidays</li><li>Flexible Spending Account</li><li>Continuing Education benefits</li><li>Much more...</li></ul>

Data Scientist Jobs in Sterling, VA

Data Scientist
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Sr Data Scientist
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Data Scientist
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Data Scientist
June 28, 2024

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Data Scientist Jobs in Sterling, VA

Data ScientistJuly 23, 2024

Sr Data ScientistJuly 19, 2024

Data ScientistJuly 16, 2024

Data ScientistJuly 16, 2024

Senior Data ScientistJuly 6, 2024

Sr Data ScientistJuly 6, 2024

Data ScientistJuly 1, 2024

Data ScientistJune 28, 2024

Data ScientistJune 28, 2024

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Data Scientist
July 23, 2024

Sr Data Scientist
July 19, 2024

Data Scientist
July 16, 2024

Data Scientist
July 16, 2024

Senior Data Scientist
July 6, 2024

Sr Data Scientist
July 6, 2024

Data Scientist
July 1, 2024

Data Scientist
June 28, 2024

Data Scientist
June 28, 2024