Data Scientist Department: Federal Employment Type: Full Time Location: McLean, VA Reporting To: David Gentile Description ORBIS, is looking for an innovative Data Scientist possessing a TS/SCI with Poly clearance who is specialized in software development support for natural language processing (NLP) for a program comprised of data science, data engineering, and methodologists. The customer cloud computing environment includes complex datasets from multiple mission applications. Key Responsibilities The core hours for all positions not otherwise identified shall be from 0900 - 3:00 PM EDT. Weekend or after-hours support may be required for operational issues, deployments and critical activities. •Candidate shall support the design, development, coding, testing, and debugging of complex new software products and make enhancements to existing software. •Candidate shall apply software development methodology in an Agile environment. •Candidate shall troubleshoot support of complex problems and provides develop solutions for software systems and applications issues. •Candidate shall collaborate cross-functionally with data scientists, data engineers, analysts, and other technical team members. •Candidate shall provide recommendations for continuous improvement and innovation in an Agile environment. This position has no supervisory responsibilities Skills, Knowledge and Expertise <ul><li>A Bachelor's degree is required for this position.</li><li>Minimum of 5 years' experience in a consulting role in the IC.</li><li>Master's degree in business, social science, or behavioral science preferred but not required for this position.</li></ul> The candidate shall have the following required skills. Certifications and demonstrated experience: •Requires an active TS/SCI w/ Poly •Demonstrated experience developing solutions with Python. •Demonstrated experience working with regular expressions. •Demonstrated experience with Natural Language Processing (NLP) text processing in one or more of the following: text preprocessing and cleaning for downstream NLP tasks, information extraction, Named Entity Recognition (NER), identity matching, text normalization, automatic summarization, NLP evaluation, machine translation, machine transliteration, document exploitation pipelines, multilingual computing, ontology management, or computational lexicography. •Demonstrated experience with Exploratory Data Analysis (EDA) using Jupyter or similar notebooks. •Demonstrated experience developing code with Visual Studio Code or similar integrated Development Environment (IDE). •Demonstrated experience with version control, e.g. git •Demonstrated experience writing unit test frameworks such pytest, junit, xunit, etc. Skills and demonstrated experiences that are highly desired but not required to perform the work include: •Demonstrated experience using PySpark and/or DataBricks •Demonstrated experience with Python package deployment •Demonstrated experience with data labeling, with solutions such as Doccano, Label Studio, or other equivalent •Demonstrated experience with developing solutions with SQL •Demonstrated experience with SpaCy •Demonstrated experience with Skweak/Snorkel •Demonstrated experience with task management software such as Jira •Demonstrated experience with building discriminative classifiers for text data •Familiarity with one or more foreign languages <ul><li>Prolonged periods of sitting at a desk and working on a computer.</li><li>Routine video conference and/or in-person meetings.</li><li>Ability to attend planned meetings within the Washington Metro Area region.</li></ul>

Insight Global has joined a team to support an Artificial Intelligence industry leader and is seeking a Data Scientist with Top Secret CI or FS poly to help deliver solutions to our customers. The Data Scientist will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include: -Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. -Assist and enable federal customers to build their own applications. -Contribute to the design and implementation of new features. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience -MS or PhD in Computer Science, Electrical Engineering, Statistics, Physics or equivalent fields. -Minimum 2 years relevant work experience. -Excellent programming skills in Python. -Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). -Strong mathematical background (linear algebra, calculus, probability, and statistics). -Experience with scalable ML (MapReduce, streaming). -Ability to drive a projectand workbothindependently and in a team. -Smart, motivated, can-do attitude, and seeks to make a difference. -Excellent verbal and written communication. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Senior Data Scientist - Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise Employment Type: Full-Time Location: Mclean, VA (on-site) Minimum Experience: Experienced Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: <ul><li>Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>Washington Post: Your kids' apps are spying on them</li><li>Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google's Black Box Ad Empire</li><li>ABC7 News: The State of Children's Privacy Online</li><li>NBC News: How many apps are tracking your children</li></ul> Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore. ABOUT THE ROLE In this role, you will collaborate closely with data scientists, big data engineers, product managers, and marketers, as well as legal, engineering, marketing, sales, and customer success teams. You will analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics, while ensuring compliance with global privacy and data protection laws. As the ad tech industry undergoes a major shift towards greater transparency and protection against fraud, Pixalate is uniquely positioned as the first MRC-accredited, omni-channel fraud protection provider focused on reducing fraud, not just measuring it. QUALIFICATION <ul><li>BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields</li><li>4+ years of professional experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise</li><li>Experience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws</li><li>Ability to work independently and solve complex problems with minimal supervision</li><li>Strong critical thinking and ability to generate intuitive conclusions from complex datasets</li><li>Excellent verbal and written communication skills, with a high attention to detail</li><li>Proficiency in SQL and Python (experience with R is a plus)</li><li>Solid understanding of machine learning algorithms, basic probability, and statistics</li><li>Familiarity with AI/ML tools and frameworks (e.g., OpenAI, ChatGPT, TensorFlow, PyTorch, Keras)</li><li>Familiarity with online advertising, advertising fraud, and global privacy and data protection laws, with a focus on European privacy and data protection laws and regulations</li></ul><ul><li>Preferred MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expertise</li><li>Preferred Familiarity with Amazon AWS, UNIX CLI, and programming in Scala, Java, and/or C/C++ (a plus)</li><li>Preferred Experience providing thought leadership in privacy and data protection, particularly in the context of the European regulatory landscape and beyond</li><li>Preferred Proven track record of integrating privacy-by-design principles into data science projects and products</li><li>Preferred Knowledge of de-identification, anonymization, and pseudonymization techniques for data processing and analysis</li><li>Preferred Familiarity with privacy-enhancing technologies (PETs) and their applications in AI/ML projects</li><li>Preferred Experience working with data protection authorities and managing data protection impact assessments (DPIAs) in a data-driven organization</li><li>Preferred Strong understanding of GDPR, ePrivacy, and other relevant privacy and data protection legislation, as well as global privacy frameworks and best practices</li></ul> RESPONSIBILITIES <ul><li>Serve as a subject matter expert on privacy and data protection, working closely with legal, engineering, data science, marketing, sales, and customer success teams to enhance privacy-related services and identify customer needs</li><li>Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations</li><li>Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulations</li><li>Provide technical support for existing products by resolving complex client issues through coordinated tickets and data analysis</li><li>Identify new types of fraud and develop early detection/prevention algorithms using AI/ML techniques</li><li>Create visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams, while maintaining privacy compliance</li><li>Automate report generation for recurring requests using scripts</li><li>Develop and test statistical hypotheses to support data-driven decision-making</li><li>Collaborate with data scientists, analysts, product managers, and engineers to apply quantitative data analysis expertise and create AI/ML-driven innovative solutions, ensuring privacy and data protection compliance</li><li>Stay up-to-date with the latest advancements in AI/ML, privacy regulations, and industry trends to inform data science strategy and approach</li><li>Mentor and guide junior data scientists and engineers, sharing knowledge and fostering a culture of learning and growth</li></ul> BENEFITS We focus on doing things differently and challenge each other to be the best we can be. <ul><li>Generous benefits package including 25 days holiday plus Bank holidays</li><li>Defined contribution Pension scheme</li><li>Monthly internet reimbursement</li><li>Casual, remote work environment</li><li>Hybrid, flexible hours</li><li>Opportunity for advancement</li><li>Fun annual team events</li><li>Being part of a high performing team that wants to win and have fun doing it</li><li>Extremely competitive compensation</li></ul>

Client is seeking a Senior Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Senior Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Senior Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. Responsibilities <ul> <li>Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala)</li> <li>Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges</li> <li>Query databases using SQL with structured data and perform statistical analysis</li> <li>Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks</li> <li>Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations</li> <li>Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools</li> <li>Think strategically about how to publish data visualizations and present analytic results</li> <li>Support business decisions with ad hoc analysis</li> </ul> Qualifications <ul> <li>3-5 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community</li> <li>3-5 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory</li> <li>3-5 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods</li> <li>Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization</li> <li>Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products</li> <li>Active TS/SCI with FS polygraph required</li> </ul>

Data Scientist Jobs in Dhs, VA

Data Scientist
July 23, 2024

Tssci Polygraph Data Scientist
July 23, 2024

Senior Data Scientist Ad Tech Fraud Detection Prevention With Aiml Focus And Privacy Expertise
July 22, 2024

Senior Data Scientist
June 29, 2024

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Data Scientist Jobs in Dhs, VA

Data ScientistJuly 23, 2024

Tssci Polygraph Data ScientistJuly 23, 2024

Senior Data Scientist Ad Tech Fraud Detection Prevention With Aiml Focus And Privacy ExpertiseJuly 22, 2024