Data Scientist jobs at Elder Research - 673 jobs

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication Ability to work autonomously in a collaborative, dynamic, cross-functional environment Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) 1+ years of experience in data science, data analytics, or a related technical field Prior computer programming experience, preferably in a language such as Python or R Experience with data exploration, data munging, data wrangling, and model development in R or Python Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL Humble and willing to learn, teach, and share ideas Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements Comfortable learning new things and working outside of your comfort zone Technical mindset you are not afraid of math! Must currently possess a Public Trust clearance Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) Programming techniques (e.g. pair programming, code reviews) Experience with containerization and environment management (venv or conda) Experience with Natural Language Processing (NLP) and advanced text mining techniques Experience with graph analytics and network analysis Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting Experience implementing data science processes in a remote, austere environment to include using bash Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) Understanding of the data analytics lifecycle (e.g. CRISP-DM) Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results. Responsibilities Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company. Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels. Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations. Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives Requirements Bachelor's degree in related field 2-3 years experience in data and analytics field Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS. Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations Advanced knowledge of Microsoft Excel General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics Experience with data orchestration tools such as Annalect Omni Excellent verbal, written and interpersonal communication skills Ability to work independently and as part of a team Ability to manage multiple projects simultaneously while meeting deadlines Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations. Data storytelling and presentation

- Master's or PhD Preferred! -Agentic AI experience - 5-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning. - 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG! - Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. - NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization) - Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation - DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo - Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. *Description* TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, a leading global provider of information and analytics. Recently our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Our client delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard's Citations functionality, and authoritative content. The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for our client in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic's Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI's GPT-4 and ChatGPT, hosted on Microsoft Azure. ACCOUNTABILITIES * Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection. * Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data. * Apply machine learning techniques for improving search algorithms. * Drive best practices for NLP/Machine Learning pipelines. * Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives. * Translate complex business requirements into actionable stories with reasonable time estimates. * Work with product leaders to apply data science solutions. Strong coding skills in Python 7+ years- interviews need to be take without AI assistance Be a natural problem solver, able to take a lead in collaborating to resolve issues Proficiency in IDE debugging : VSCODE and PYCHARM Have communication skills 4+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, classification models, diagnostic testing of models Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM (LangChain) in a business Experience working with AWS, RAG, SageMaker, SQL *Skills* data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing *Top Skills Details* data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model ,Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning *Additional Skills & Qualifications* N/A *Experience Level* Expert Level *Job Type & Location*This is a Contract to Hire position based out of Cary, NC. *Pay and Benefits*The pay range for this position is $50.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) *Workplace Type*This is a fully remote position. *Application Deadline*This position is anticipated to close on Jan 26, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

*Top Skills' Details*** * *Data Engineering experience* * Experience with AWS/Public Cloud *Strong Python experience *Snowflake experience *Data Automation with AI (very important to this role) Building agents- using langchain or langraph They are using using langgraph Aws- understanding how to deploy on those *Description* Our client is currently seeking a Data Engineer with AI Automation experience. This role is a short-term role until they find funding to extend, but the manager said it could be 6 months before that happens with budget constraints. The person we put into the role could also be under consideration for the perm role. These are the areas where we can utilize someone who has experience in one of these areas: AI engineer - Experience building AI agents, MCP server/tools, etc. Data/ETL Engineer - Experience with Apache Airflow, Glue ETL, and Snowflake Python developer with AWS experience - to build scripts for different use cases and strong AWS knowledge is important UI developer(Angular) - we have a design ready for a dashboard where we can use them to finish that project. Ideally, someone would have experience in all 4 areas above but if someone is an SME in one of these areas, they will consider them. Data Engineer with AI Experience What You Will Do: * Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. * Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend. * Automate operational workflows using machine learning and intelligent scripting. * Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools. * Conduct anomaly detection for security, cost optimization, and performance analytics. * Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. * Utilize AWS Athena for interactive querying of data stored in data lakes. * Manage and optimize data storage and processing using Snowflake cloud data platform. * Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. * Continuously evaluate emerging AI technologies and tools for operational improvements. * Maintain documentation and best practices for AI/ML integration in cloud systems. Our Minimum Requirements Include: * Bachelor's or Master's degree in Computer Science, Data Science, or related technical field, or equivalent experience. * Proven ability building and deploying ML models, with at least 2 years focused on cloud operations. * Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI). * Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn. * Comfortable working with streaming data, APIs, and telemetry systems. * Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs. * Strong communication and multi-functional collaboration skills. * Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins). * Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies. Preferred Qualifications: * Understanding of Cloud Technologies and Services of one or more providers including AWS, GCP, Azure, Oracle, and Alibaba. * Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment. * Hard-working, dedicated to providing quality support for your customers. * Full stack development experience with Angular for frontend and Flask for backend application development *Additional Skills & Qualifications* Cloud management and optimization * Cloud account provisioning * Multi cloud management * Managed services Public cloud infrastructure- all public accounts- not deployments- they have top level governance of clouds- gov/security/ etc. they oversee that- GPC/Azure/ AWS/ etc. They have administration access to cloud. Responsible for security, governance, cost management Cloudx platform automation- this group of developers helps to rebuild different platforms to support various business units. Data from cost optimization- want to present data to but in a meaningful way Governance control- do that at scale-automation they dont use all LLM models to be used - build a pipeline with only the custom models Building the data pipelines Most deployments are done in AWS Public cloud Snowflake- all the data aggregated here Use Glue pipelines - in AWS Python scripts for the data Will dive more into AI in the coming months. Questions around cloud spend is already avail- they released- agentic AI approach MPC servers build those to support current environment Build AI pipelines for MCP servers Someone who knows data Data automation AI would be a good fit Building agents- using langchain or langraph They are using using langgraph Aws- understanding how to deploy on those They deploy in containers but they have a boiler plate so they don't need that exp necessarily Building Pipelines in Python ETL experience Taking data and making it meaningful into a pipeline Working with developers on the team and AI Organization deployments- monitor resources- if someone deletes- how do we remedy that? Monitoring that data Cost optimization/ security/ etc are the main use cases *Experience Level* Intermediate Level *Job Type & Location*This is a Contract position based out of Morrisville, NC. *Pay and Benefits*The pay range for this position is $40.00 - $45.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) *Workplace Type*This is a fully remote position. *Application Deadline*This position is anticipated to close on Jan 23, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job DescriptionThis role will provide expertise and support to the DJJ HR team in HR data reporting, validation, and visualization through the development of an interactive dashboard using Power BI and establishing a data warehouse to collect, store and organize data. VA DJJ HR has the shell of a PowerBI dashboard that may be expanded upon with improving in the build of dynamic dashboard and ensure HR data is consistent, accurate, and usable for reporting and strategic initiatives. Seeking a consultant well versed in raw HR data points, current reporting techniques and strategic development of an interactive HR Dashboard utilizing PowerBI where the raw data is automatically updated frequently and permits for ad hoc reporting. The HR dashboard should include key metrics to include but not limited to agency position count, agency headcount, demographics, turnover and retention trends, leave usage and absenteeism, time-to-fill, vacant positions, and more. The consultant should be able to maintain confidentiality; an eye for detail in visualization development and reporting; and the ability to train. Must be able to communicate effectively with across functional areas as it relates to the HR Dashboard and data needs. RequirementsSkill Required / Desired Amount of Experience PowerBI Required 5 Years SQL Required 5 Years Python Required 5 Years SaS Required 5 Years Data Management and Development Required 5 Years

) Type: Full-Time Exiger is seeking a Data Scientist with advanced expertise in machine learning, NLP/LLMs, and statistical modeling to drive mission-focused analytics in customs and trade enforcement. This role is ideal for an individual who thrives at the intersection of data science, compliance, and policy, and can apply technical innovation to strengthen enforcement, optimize tariff revenue, and mitigate supply chain risk. The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and tariff analysis tools, working closely with AI Solutions Engineers to ensure seamless integration into customer environments. The individual will also design dashboards and visualizations, conduct econometric trade flow analysis, and present mission-ready insights to enforcement and compliance stakeholders-aligning advanced analytics with the operational goals of U.S. government partners. Responsibilities Develop and apply machine learning (ML) and natural language processing (NLP/LLM) models to support customer needs. Conduct statistical and econometric analysis of large-scale customs and trade datasets to identify anomalies, fraud risks, and tariff revenue optimization opportunities. Build predictive risk models to prioritize shipments for review based on compliance, diversion, or misclassification indicators. Perform tariff and trade flow analysis to support classification accuracy, customs valuation, and duty collection forecasting. Design and maintain dashboards, reports, and data visualizations to communicate findings to customers. Collaborate with AI Solutions Engineers to ensure analytical models are operationalized within customer systems and data pipelines. Present results and technical findings in clear, mission-focused language for enforcement, compliance, and policy stakeholders. Qualifications / Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics. Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics. Experience with LLMs (development, fine-tuning, applied use cases in classification and text analysis). Knowledge of tariff classification, customs valuation, origin determination, and the Harmonized Tariff Schedule (HTSUS). Understanding of transshipment rules, including substantial transformation, and ability to detect compliance risks in diverted/misclassified shipments. Familiarity with U.S. trade compliance frameworks. Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver insights and decision support. Experience with large-scale datasets and integration with customer systems. Strong communication skills to translate complex analytical outputs into actionable insights for customers. Ability to work collaboratively with engineers, analysts, and mission operators to align data science outputs with operational enforcement goals. We're an amazing place to work. Why? Discretionary Time Off for all employees, with no maximum limits on time off Industry leading health, vision, and dental benefits Competitive compensation package 16 weeks of fully paid parental leave Flexible, hybrid approach to working from home and in the office where applicable Focus on wellness and employee health through stipends and dedicated wellness programming Purposeful career development programs with reimbursement provided for educational certifications #LI-Hybrid Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30+ AI, RegTech and Supply Chain partner awards. Exiger's core values are courage, excellence, expertise, innovation, integrity, teamwork and trust. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

JOB TITLE: Data Scientist DIVISION/DEPARTMENT: Management Consulting REPORTS TO: Principal Consultant FLSA STATUS:1099 Independent Contractor EXPECTED DURATION: February 1, 2026 to November 1, 2026 Objective The Data Scientist will apply statistical methods, programming skills, and domain knowledge to extract actionable insights from complex datasets. This is a supportive role working closely with a PhD-level with the Lead Data Scientist to assist with all elements of the data lifecycle-from structuring and analysis to model development and visualization tool creation. Assist in creating an opioid-approved research data model for the state of Florida. Responsibilities include data structuring and cleaning, supporting predictive model development, and building visualization tools using R Shiny. Key Responsibilities The Data Scientist will: * Assist the Lead Data Scientist with data structuring and cleaning complex health datasets. * Support data analysis and predictive modeling using Bayesian methods, Random Forest, etc. * Develop and maintain data visualization tools using R Shiny for stakeholder consumption. * Collaborate on model documentation and interpretation of results. * Ensure compliance with data security and confidentiality protocols. Education & Certifications * Master's degree or higher in a quantitative field (e.g., Statistics, Data Science) or equivalent experience. * Must pass CITI certification and other required trainings for handling sensitive health data. Knowledge & Experience * Proficiency in R and R Shiny; experience with GitHub and CI/CD principles. * Familiarity with Microsoft Azure services and strong database management skills. * Understanding Bayesian modeling, machine learning, and AI methodologies. * Experience in a college or university context required; public health or epidemiological data experience preferred. Skills & Abilities * Strong analytical and problem-solving skills. * Ability to communicate technical results clearly in writing. * Attention to detail and adherence to open science frameworks. * Ability to work independently and meet deadlines in a remote setting. Compensation & work arrangement * Pay Structure: 1099 Independent Contractor * Payment Basis: Hourly, paid monthly * Work Arrangement: Fully remote; must be available for meetings 8:00 AM - 5:00 PM ET, Monday-Friday. Requiring approximately 20-30 hours per week Acknowledgement * Candidates must provide a detailed summary of past relevant projects and a writing sample demonstrating ability to communicate technical results clearly.

About the Role Culmen International is hiring Expert Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Springfield, VA. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications TS/SCI Clearance w/CI Poly Eligible Minimum of 18 years combined experience (A combination of years of experience & professional certifications/trainings can be used in lieu of a degree) BS in related Field with Graduate level work Expert proficiency in Python and other programming languages applicable to automation development. Demonstrated experience designing and implementing workflow automation systems Advanced experience with ETL (Extract, Transform, Load) processes for geospatial data Expertise in integrating disparate systems through APl development and implementation Experience developing and deploying enterprise-scale automation solutions Knowledge of NGA's Foundation GEOINT products, data types, and delivery methods Demonstrated experience with database design, implementation, and optimization Experience with digital media generation systems and automated content delivery platforms Ability to analyze existing workflows and develop technical solutions to streamline processes Knowledge of DLA systems and interfaces, particularly MEBS and WebFLIS Expertise in data quality assurance and validation methodologies Experience with geospatial data processing, transformation, and delivery automation Proficiency with ArcGIS tools, GEODEC and ACCORD software systems Understanding of cartographic principles and standards for CADRG/ECRG products Strong analytical skills for identifying workflow inefficiencies and implementing solutions Experience writing technical documentation including SOPS,CONOPS, and system design Desired Qualifications Certification(s) in relevant automation technologies or programming languages Experience with DevOps practices and C/CD implementation Knowledge of cloud-based automation solutions and their implementation in - government environments Experience with machine learning applications for GEOINT Workflow optimization Expertise in data analytics and visualization for workflow performance metrics Understanding of NGA's enterprise architecture and integration points Experience implementing RPA (Robotic Process Automation) solutions Knowledge of secure coding practices and cybersecurity principles Demonstrated expertise in digital transformation initiatives Experience mentoring junior staff in automation techniques and best practices Background in agile development methodologies Understanding of human-centered design principles for workflow optimization About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

About the Role Culmen International is hiring Expert Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Tampa, FL. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications TS/SCI Clearance w/CI Poly Eligible Minimum of 18 years combined experience (A combination of years of experience & professional certifications/trainings can be used in lieu of a degree) BS in related Field with Graduate level work Expert proficiency in Python and other programming languages applicable to automation development. Demonstrated experience designing and implementing workflow automation systems Advanced experience with ETL (Extract, Transform, Load) processes for geospatial data Expertise in integrating disparate systems through APl development and implementation Experience developing and deploying enterprise-scale automation solutions Knowledge of NGA's Foundation GEOINT products, data types, and delivery methods Demonstrated experience with database design, implementation, and optimization Experience with digital media generation systems and automated content delivery platforms Ability to analyze existing workflows and develop technical solutions to streamline processes Knowledge of DLA systems and interfaces, particularly MEBS and WebFLIS Expertise in data quality assurance and validation methodologies Experience with geospatial data processing, transformation, and delivery automation Proficiency with ArcGIS tools, GEODEC and ACCORD software systems Understanding of cartographic principles and standards for CADRG/ECRG products Strong analytical skills for identifying workflow inefficiencies and implementing solutions Experience writing technical documentation including SOPS, CONOPS, and system design Desired Qualifications Certification(s) in relevant automation technologies or programming languages Experience with DevOps practices and C/CD implementation Knowledge of cloud-based automation solutions and their implementation in - government environments Experience with machine learning applications for GEOINT Workflow optimization Expertise in data analytics and visualization for workflow performance metrics Understanding of NGA's enterprise architecture and integration points Experience implementing RPA (Robotic Process Automation) solutions Knowledge of secure coding practices and cybersecurity principles Demonstrated expertise in digital transformation initiatives Experience mentoring junior staff in automation techniques and best practices Background in agile development methodologies Understanding of human-centered design principles for workflow optimization About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. Requirements Clearance Required Top Secret SCI w/ Full Polygraph Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Job Description Don't Just Analyze-Influence: Join EVOQ as Our Data Scientist As our Data Scientist, you will be responsible for developing an integrated data ecosystem across our agencies and client portfolios. You'll aggregate, clean, and analyze data from disparate systems (e.g., Shopify, Amazon Seller Central, TikTok Shop, Meta, Google Ads, GA4, HubSpot, and CRM systems) to deliver deep, actionable insights that drive revenue growth. This role is not about generating more data. Our clients need more signal and less noise. You will identify and articulate the strategic implications and deliver recommendations that are specific, actionable, and designed to influence behavior across organizations. You will be at the intersection of data science, strategy, and storytelling. You'll play a pivotal role in helping our clients answer complex questions such as: Are TikTok Shop or Amazon sales cannibalizing our DTC website sales? What is the true blended ROAS across all channels? How do paid, owned, and earned investments correlate with lifetime value and margin by channel? Which creative and influencer strategies drive incremental lift-not just clicks? How can we accurately calculate marketing attribution across channels-and build custom attribution models that reveal true incremental value?" You'll partner with our analytics, media, and strategy teams across all EVOQ agencies to create models, dashboards, and methodologies that help clients understand, predict, and optimize performance across channels. Let us introduce ourselves: EVOQ is not a holding company. It is a strategic collective of best-in-class, independently owned marketing agencies that share a common standard of excellence, a culture of innovation, and a commitment to client success. Each agency operates independently but is united by a shared belief: that collaboration, specialization, and strategic alignment can create marketing that outperforms expectations. EVOQ offers: Access to elite, discipline-specific expertise across the marketing ecosystem A flexible model: a la carte services or fully integrated solutions Scalable resources without the red tape of traditional holding companies A culture grounded in ownership, accountability, and entrepreneurial energy The freedom to innovate, evolve, and lead--not follow What you'll do as Data Scientist: Lead our data strategy: Design and maintain a unified data infrastructure connecting systems like Amazon, Shopify, GA4, TikTok Shop, and more Build robust ETL pipelines and APIs to centralize multi-channel data Develop a scalable data lake/warehouse for cross-agency analytics Establish strategic measurement frameworks that go beyond vanity metrics Build models that matter: Create econometric and attribution models (MMM, MTA) to decode marketing performance Analyze incrementality, channel cannibalization, and blended ROAS Deliver predictive models that uncover efficiency, margin growth, and ROI Translate complex data into insights that directly influence brand and business strategies Communicate for impact: Develop intuitive dashboards (Power BI, Looker Studio, etc.) Synthesize data into clear, compelling stories for both technical and non-technical audiences Define KPIs that align with client success and agency growth Help evolve our analytics culture with storytelling at its core Be a strategic leader: Serve as the group-wide data science expert across all EVOQ agencies Mentor analysts and build data fluency across functions Lead data governance and standardization efforts Stay ahead of trends in AI, marketing analytics, and e-commerce intelligence Knowledge and skills required for the position are: Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or a related quantitative field. 7+ years of experience in data science, marketing analytics, or quantitative marketing roles, preferably in an advertising agency, performance marketing, or e-commerce environment. Proficiency with Python, R, SQL, and modern ETL tools (e.g., Airflow, dbt, Fivetran). Experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift). Experience with marketing intelligence and attribution platforms (e.g., Northbeam, TripleWhale, Funnel) Familiarity with API integrations and marketing data connectors Hands-on experience with visualization platforms like Power BI, Tableau, or Looker Studio. Experience developing MMM, MTA, and causal inference models. Deep understanding of marketing and commerce platforms including Google Ads, Meta Ads, Amazon, TikTok Shop, Shopify, Klaviyo, GA4, and CRM systems. Experience analyzing blended ROAS, attribution, and incrementality in omnichannel campaigns. Preferred Qualifications Previous experience working with or within a digital or performance marketing agency. Proven ability to balance hands-on analysis with leadership and cross-team collaboration. Strong understanding of data privacy, governance, and compliance standards. Excellent communication and presentation skills-able to make the complex simple and strategic. Experience in influencing brand or media strategy through insight storytelling. Ability to simplify complex systems into frameworks, models, and stories that non-technical stakeholders can understand and act on. Join EVOQ as a Data Scientist and advance your career! EVOQ offers a competitive benefits package, including top-tier insurance, flexible PTO, and a 401k match. Apply Now!

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. O ur company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more. Job Description We are looking for Data Scientist in Juno Beach FL. Responsibilities: • Responsible for all activities associated with the administration of either mainframe or distributed computerized databases; • Design, implement, maintain and monitors databases; • Develop documents and implements guidelines, standards and procedures, maintenance of database dictionaries, and integration of systems through database design; • Develop machine learning, optimization and other modeling solutions; • Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses; • Research meteorological and climate influences on wind and solar generation, including forecasting techniques and applications; • Perform other job-related duties as assigned Qualifications Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: Define goals and expectations for algorithm T&E performance Research artificial intelligence data splitting, metrics, and T&E methodology Lead strategy and coordination with algorithm development vendors Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results Present a path forward and solutions to solve complex data problems Work with MORSE's current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems. Requirements: US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning Expertise in artificial intelligence, machine learning, and data science Experience in algorithm development and testing Excellent communication and presentation skills Self-starter and driven Ability to be onsite 4-5 days/week The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit ******************

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems, Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems. Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB. Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results Present a path forward and solutions to solve complex data problems Research and identify new methods for machine learning and data analysis Requirements: US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field 3+ years of experience in Data Science or Analysis Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods Proficiency in one or more programming languages like Python, Matlab, C, or C++ Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations Good communication skills Self-starter and driven Prior experience in defense is a plus MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy. Compensation$110,000-$210,000 USD The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit ******************

Job Description located in Norfolk, VA. TS/SCI Clearance Required. National Capitol Contracting is seeking a Junior Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Essential Duties and Responsibilities Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement TS/SCI and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements Bachelors degree in Computer Science, Data Science, Computational Science, or related field. Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. Knowledge of big data technology infrastructure and environments. Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) Experience in developing machine learning models. Results-driven, creative, and analytical. Ability to work within cross-functional groups. Preferred Qualifications Experience within Data Warehouse and ETL processes. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us and reference the position in your email. NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.

Project/Team: FBI Hi-Tech Organized Crime Unit (HTOCU) Support Employment Type: Full-Time (1920 hours/year) Number of Vacancies: 1 Period of Performance: 07/22/2025 07/21/2026, with four 1-year option periods Clearance Required: Top Secret with Counterintelligence (CI) Polygraph *Note: This position has not yet been funded. We are currently soliciting resumes from interested candidates in anticipation of contract award. Background: Navanti is seeking a highly analytical and mission-aligned Data Scientist to support the FBI s Hi-Tech Organized Crime Unit (HTOCU) at FBI Headquarters in Washington, DC. This position directly contributes to advanced criminal investigations and intelligence operations by unlocking insight from large and complex datasets. The selected candidate will support two specialized teams the Joint Criminal Opioid and Darknet Enforcement (JCODE) Team and the Mobile Encrypted Networks and Communications Exploitation (MENACE) Team. These teams rely on data fusion, enrichment, and visualization to investigate encrypted communications, darknet marketplaces, and other high-risk digital threats. Work will be performed onsite and requires an active Top Secret clearance with Counterintelligence (CI) polygraph. Core Responsibilities: Perform data wrangling, normalization, and transformation on investigative datasets. Create statistical models and dynamic visualizations that reveal patterns, anomalies, and leads. Enable investigators and analysts by converting raw data into actionable formats. Recommend and implement data architectures, storage frameworks, and retrieval pipelines. Collaborate with technical and investigative stakeholders to define analytical requirements. Document and present data methodologies, findings, and tools to technical and non-technical audiences. Technical Requirements: Bachelor s degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 3 years of experience in applied data science, ideally in federal, law enforcement, or intelligence environments. Strong proficiency in: Scripting languages (e.g., Python, R) Data visualization tools and platforms Relational and non-relational databases Active Top Secret clearance with CI polygraph is required. Preferred Qualifications: Deep understanding of analytical techniques relevant to intelligence and investigative domains. Experience with information assurance, anomaly detection, and statistical variance analysis. Strong presentation skills; capable of translating technical insight into operational intelligence. Familiarity with federal or law enforcement datasets, workflows, or investigative processes. #CJ

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: * Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) * Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. * Key Responsibilities include: * Perform exploratory data analysis, feature engineering, and baseline model development. * Develop reproducible notebooks/scripts and document assumptions, methods, and results. * Support model validation, bias checks, and monitoring plans. * Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): * 5 years of experience with BA/BS (or equivalent). * Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. * Familiarity with data ethics, validation, and reproducibility practices. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field * Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): * Exposure to operational datasets and performance metrics in DoD or large enterprise contexts * Experience with visualization tools to communicate results * Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.