Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers’ management and technical requirements in the intelligence, defense, homeland security and commercial market space.  ​    Our customers’ and Syntelligent’s success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented.      Responsibilities:   Syntelligent is seeking a Data Scientist with TS/SCI clearance to join our team and help accelerate a federal mission client’s discovery and delivery of identity and network-based intelligence insights to counter national security threats and malicious actors in Washington, DC.    As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer. Your analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on.   Qualifications: TS-SCI clearance  Candidate with at least 4 years of STEM related work experience with a STEM bachelor’s degree or 2 years of relevant work experience with a STEM master’s degree Hands-on experience implementing, training, and evaluating deep learning models with familiarity of adversarial, semi-supervised, and generative architectures • Hands-on experience working with Torch, TensorFlow, and similar machine learning frameworks. Skilled in evaluating machine learning models using various metrics beyond accuracy and implementing strategies to improve performance Hands-on experience, knowledge and understanding of statistical and machine learning techniques to model, characterize, and extract meaning from structured and unstructured data. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization Hands-on experience in object-oriented programming with a language such as C++, Java, or Python; Python as primary programming languages Hands-on experience working on source controlled code with a functional team in a tool like Git or Subversion. Hands-on experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS)) services and products Strong strategic communication skills to include presenting quantitative concepts in easy-to-understand formats and actively listening to identify business problems and their causes Experience or exposure using python libraries such as pandas, NumPy, GeoPandas, requests, urlib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, NLTK, spaCy, Gensim Preferred Qualifications: Master’s degree or equivalent experience in a related field.  Familiarity and experience with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Hands-on experience implementing generative AI (Gen AI) models. Hands-on experience implementing Retrieval Augmented Generation (RAG) in Gen AI solutions. Experience implementing advanced NLP machine learning models on tasks such as entity resolution, question and answering, and text summarization. Experience developing and deploying data science solutions in containers. Familiarity and experience with interacting programmatically with IC data stores and analytic services. Master’s degree or equivalent experience in a related field. Working knowledge and experience is accessing remote APIs using cryptographic keys and digital certificates. Experience extracting features from data stored in a wide range of possible formats including JSON, XML, raw text logs, industry-specific encodings, and graph link data. Working knowledge with Collaboration tools, such as, Jira and Confluence Responsibilities: Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives. Create and manage product roadmaps that reflect both innovation and growth strategies. Document customer requirements to be used for project management. Develop technical architecture that support development approach. Forecast and outline technical tasks that guide weekly development in support of technical projects. Partner with a government product owner and collaborate with a Data Science Team of 5-8 FTEs. Role Requirements: Minimum education requirements:  Bachelor’s Degree Part time or full time:  Full Time Flexibility option:  High Co-Location Skills: Technical Documentation Statistics, Mathematics Natural Language Processing (NLP) Atlassian Confluence JIRA Github GitLab Gitlab Administration Data Analytics Tool Amazon Web Services (AWS) Amazon Sagemaker Amazon AWS Online applications, please.   The likely salary range for this position is $130,000-140,000 per year. This is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Other rewards may include annual bonuses, Spot bonuses, and program-specific awards. In addition, Syntelligent provides a variety of benefits to all our Full-Time employees.   When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you.   Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources department at 540-736-4570, Extension #