Data scientist jobs in District of Columbia

Job Description Computer Technologies Consultants (CTC) is seeking a Data Scientist to support the Defense Intelligence Agency (DIA) in Washington, DC. With offices in Washington DC and San Diego, CA, CTC is a leading technology company providing lifecycle IT, data analytics, cloud managed hosting services, agile software development, DevOps, Test Automation, Cyber Security, and infrastructure solutions. Additionally, we provide Professional Talent Acquisition Services as we proudly support the unique needs of U.S. Defense, Intelligence, and Federal Civilian agencies as well as Fortune 1000 companies. Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well look no further! Experience this family-oriented company who takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with our client you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of and work in collaborative, dynamic, and high-tempo environments. Our clients' employees are their most valued asset and they invest in their people because they are in it for the long term. They are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities world-wide. Why Should You Be Interested? Direct hire full-time position Competitive base salary and comprehensive benefits Mid-size company with room for growth Position Title: Data Scientist Position Location: This position is full time, on-site in the National Capital Region Daily Responsibilities: Oversee data normalization, building tables, moving data, writing data scripts, installation, configuration, and data integration. Responsibility for discovery, service mapping, configuration management, and event management using MID Servers and best practices. Maintain and update the data dictionary, metadata, and SOPs for data-related tasks, ensuring compliance with DIA security and configuration standards. Collaborate with platform teams to design scalable, efficient data architectures that enable dashboarding, KPI reporting, and Configuration Management Database (CMDB) health monitoring. Participate in data validation, DR/COOP testing, platform upgrades, and ensure data integrity across environments (dev, test, prod). Monitor data pipelines for errors or anomalies and propose continuous improvements. Ensure all activities align with ATO, NIST 800-53, and DoDIIS data handling guidance. Required Years of Experience (min): Five (5) years of experience in ServiceNow or a related field. Required Degree/Certifications: Bachelor's degree in Computer Science, Statistics, Mathematics, a related field, or equivalent related professional experience. ServiceNow Certified Implementation Specialist (CIS) for Discovery or Service Mapping (required). Required Experience & Expertise in the following areas: Hands-on experience with data scripting, ETL, and data integration tools in enterprise environments. Strong understanding of ServiceNow Discovery, Service Mapping, CMDB, and Event Management. Proven experience in data modeling, normalization, and database design. Familiarity with scripting languages such as JavaScript, Python, or PowerShell. Knowledge of IT infrastructure, systems management, and service dependency mapping. Ability to troubleshoot and resolve data-related issues quickly and efficiently. Strong analytical and problem-solving skills, with the ability to communicate technical findings to non-technical audiences. Required Clearance: Must be eligible for a TS/SCI clearance with CI polygraph (active clearance preferred) Pay Information Full-Time Salary Range: $230k-$250k Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Computer Technologies Consultants, Inc. is an Equal Opportunity Employer that provides employment opportunities for all qualified applicants without regard to race, color, religion, gender identity and/or expression, sexual orientation, age, mental or sensory differing abilities, protected veteran status, sex, national origin, or any other characteristic protected by applicable law. Computer Technologies Consultants, Inc. is devoted to diversity, equity, and inclusion.

Job Description Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. Compensation Range: $150K - $215K

LMI is seeking a Junior Data Scientist to support the F-35 Program. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. This position requires an active Secret clearance. The Junior Data Scientist will provide support to the customer to uncover and explain actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling. The Statistician will work as part of a team of experienced statisticians, data scientists, data engineers, and data analysts to support advanced analytics projects for the F-35 program. You will work as part of a team with other contractors, government civilians, and military personnel in an agile environment. Responsibilities The Junior Data Scientist duties may include: Ability to interpret and incorporate data from multiple tool sources. Analyze data sources to provide actionable recommendations. Demonstrate the ability to frame and scale statistical problems to effectively analyze, visualize and find statistical solutions. Ability to transform data and analysis into informative data visualizations and/or interactive dashboards. Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. Responsibility for providing statistical support to the F-35 program, including data analysis, statistical modeling, and reporting. Communicating statistical results and recommendations to non-technical stakeholders. Interact professionally with clients/internal teams; gather requirements and document the work in a ticketing system, designing and implementing new feature additions and improvements. Utilize industry standard tools such as Gitlab for code version control, project management, product requirements, and user documentation. Work directly with the customer to gather requirements and product feedback for future iterations. Support capabilities briefings for military personnel. Strong ability to analyze business requirements and create solutions. Ability to troubleshoot problems and provide timely resolutions. Clearly communicate with product owners to understand business concerns and demonstrate proposed solutions for acceptance. High energy, enthusiasm, tact, ability to effectively interact with senior executives from Government and industry. Ability to create and foster a cooperative work environment. Self-directed, detail oriented in completing assigned tasks, able to adapt to changing work efforts and manage impact of shifting priorities. Schedule and coordinate meetings, including room or virtual space reservations. Develop and distribute meeting agendas and materials. Manage attendee lists and security permissions. Provide general administrative support, including document management and data entry. Availability for occasional travel. Excellent communication and interpersonal skills. Strong leadership and team collaboration abilities. Core KSATs for DoD Cyber Workforce (DCWF): Knowledge of computer networking concepts and protocols, and network security methodologies. Knowledge of risk management processes (e.g., methods for assessing and mitigating risk). Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity. Knowledge of cybersecurity principles. Knowledge of cyber threats and vulnerabilities. Knowledge of specific operational impacts of cybersecurity lapses. Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments. Qualifications Minimum Qualifications DOD Cyber Workforce (DCWF) 8140 (451) System Administrator role: A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement for this WRC (conferred within 5 years or able to prove continuous relevant work experience) -OR- Personnel Certifications: Cloud+ or GICSP or SSCP or Security+ or GSEC. If none, must be willing to obtain in first 30-days. 1-3 years of relevant experience required Experience working with Python Experience creating meaningful data visualizations and/or interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics Superior communication skills, both oral and written Demonstrated ability to use MS Office Suite to include Word, PowerPoint, and Excel. Superior communication skills, both oral and written Active Secret clearance . Preferred Qualifications Previous DOD experience. Previous experience working with supply chain or maintenance data or processes. Target salary range: $74,450 - $137,784 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. #LI-SH1

Who We Are Marketbridge is a growth consulting and marketing firm dedicated to helping modern leaders accelerate performance with no signal loss from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue growth and build deeper, more resonant customer relationships. We partner with some of the world's largest and most ambitious brands, providing innovative solutions that drive commercial agility and long-term success. Who We're Looking For Marketbridge is looking for a Data Scientist to support program strategy and execution to help clients improve their marketing and sales outcomes. The Data Scientist will be part of a project team and play a key role in helping our clients measure marketing's effectiveness and optimize marketing mix to drive results. You will quickly work with clients to solve some of their most pressing problems, leveraging a variety of tools and methods including quantitative analysis, model development, and market research. Responsibilities Model Development: Investigate, suggest, and attempt new model builds including Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) Project and Client Management: Communicate with clients regarding data outputs, create technical slides for project deliverables, and flag roadblocks that may impede on-time delivery Internal Collaboration: Participate in brainstorms and troubleshooting, partner with Lead Data Scientist and Project Manager to outline modeling approach and data sources, and support and mentor junior Analysts Qualifications This position is for those with significant analytics experience who are looking for an opportunity to use data, research, and best practices to help improve clients' sales and marketing strategies while increasing the responsibility and autonomy over their workstreams. We are looking for someone who: Has 2+ years of experience in data-driven consulting, market research, and data science Has a background in highly quantitative hard sciences (advanced math, computer science, or economics) or highly quantitative social sciences Is comfortable using big or small data environments to answer questions and then develop an overall story about what the analysis means Can integrate stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques Demonstrates strong coding skills in R and/or Python, including data munging Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.) Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark) Note: This position requires the ability to work in the United States without visa sponsorship. MarketBridge is an Equal Opportunity Employer. The ideal candidate will: Can balance multiple projects at one time, under tight deadlines Has excellent written and oral communication, presentation, and analytical skills Is extremely conscientious, with a strong attention to detail and excellent organizational skills Be proactive and start projects with little prodding Our Culture At Marketbridge, we pride ourselves on fostering an entrepreneurial culture filled with intellectually curious, high-spirited individuals committed to making a tangible impact each day. We value our people as our greatest asset, offering a workplace where high performers are acknowledged and rewarded. Working here means joining a team of the brightest minds in the industry, in an environment that champions professional growth and development through a mix of personal initiatives and company-supported learning. We believe in empowering our employees to own their career paths, supported by management guidance and organizational resources. We are proud to have been named one of The Washington Post's 2024 Top Workplaces in the Washington, D.C. area! We provide a benefits experience centered around wellness. It is important to us that every Marketbridger feels cared for and valued. Industry competitive compensation and performance-based bonuses Generous paid time off including vacation, holidays, sick leave, maternity/paternity leave, and Friday Summer hours A wide array of healthcare options including medical, dental, and vision coverage 401(k) savings plan with company match Marketbridge-led Social Committee Referral bonus program Mentor program for new hires This role is a hybrid role based out of our Bethesda, MD office. The salary range for this role is $100,000-$125,000 with an eligible annual bonus of up to 15%.

Title Data Scientist ID 10000223 Department Information Technology Evans & Chambers Technology is seeking a highly motivated Data Scientist to join our team! Evans & Chambers partners with the US national defense community to create fully integrated, resilient, and innovative digital solutions that enable them to make smart decisions in real-time. We work with our customers on everything from conquering their data to improving and safeguarding IT infrastructure. Our ultimate goal? To enhance our nation's ability to identify, address, and act - no matter what challenges arise. Clearance: TS/SCI with CI Poly Location: Washington, DC and Arlington, VA Responsibilities: * 4-10 plus years' experience in Data Science or Data Engineering * Provides comprehensive support for intelligence processing by offering expert guidance on developing solutions for errors detected in collected intelligence data. * Analyzes inconsistencies, anomalies, and data gaps using advanced analytical tools and machine learning techniques to enhance the accuracy and reliability of intelligence reporting. * Develops data-driven methodologies to refine data validation processes and optimize error detection within intelligence workflows. * Assists in researching, understanding, and integrating emerging technologies to improve intelligence processing capabilities and enhance data quality across multiple intelligence disciplines. * Offers expert guidance on implementing corrective solutions by designing algorithms and automated processes that mitigate systemic errors in intelligence collection. * Applies statistical modeling, data visualization, and predictive analytics to refine intelligence processing techniques and enhance operational decision-making. * Works with intelligence teams to develop tailored solutions that address data inconsistencies, improve collection methodologies, and streamline analytical processes. * Provides structured recommendations to strengthen intelligence processing frameworks, optimize resource utilization, and improve overall intelligence data integrity. * Actively supports Amentum's implementation of the B2C2WG (Boards, Bureau, Centers, Cells, and Working Groups) model. Degrees and Desired Certifications: * Bachelor of Science in related field * ICAgile Certified Professional * IBM Professional Data Scientist All employment opportunities are made without regard to age, race, creed, color, religion, sex national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.

Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions. Key Responsibilities: * Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines. * Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness. * Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way. * Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions. * Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production. * Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment. * Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems. * Collaborate across teams to ensure our AI capabilities align with platform goals and business needs. Qualifications: * 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production. * Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred. * Strong background in Python and ML frameworks such as PyTorch or TensorFlow. * Proficiency in containerization and orchestration technologies (Docker, Kubernetes). * Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure). * Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML. * Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions. * Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams. * A proactive, self-starter mindset with a passion for applied research and innovation.

Job Description Data Scientist - Junior TS/SCI REQUIRED Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters. Data ScientistLCAT: MidLocations: DIAC, Joint Base Anacostia BollingShift: No Required clearance: Active TS/SCI clearance Required education: Bachelor's degree Basic Qualifications: Python experience. 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of target data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Additional Qualifications / Nice to have: Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel MBA An active CI polygraph ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: Excellent medical, dental, and vision benefits PTO 11 paid federal holidays Tuition assistance Paid military-reserve leave Paid parental leave for birth or adoption 401k matching up to 5 percent of the base salary Flex time Company-paid short-term disability, long-term disability, and life insurance.

Job Description MDW is seeking Future Hire candidates to provide Acquisition Data Scientist support to our Assistant Secretary of the Navy for Research, Development & Acquisition (ASN/RD&A) client. The Acquisition Data Scientist must be capable of applying extensive professional knowledge, skills, training, and experience to support the ASN(RD&A) organization. This position will provide industry engagement analysis and support across the ASN(RD&A) enterprise. This position is located onsite at the Pentagon, Arlington, VA. The Acquisition Data Scientist will provide the ASN(RD&A) organization with Data Analytics and Management support. The Acquisition Data Scientist may perform a combination of some or all of the following duties: Provide support and analysis for data science, analysis, and management expertise for acquisition data, to include identification, collection, cleansing, analysis, and interpretation of acquisition data, transforming raw data into meaningful information. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Create dynamic data reports. Develop and update acquisition, business, and sustainment (ABS) data system activities, processes, and guidance for accountability across the DON enterprise. Coordinate, collect, consolidate, and analyze information contained in various databases and information collected during data calls for ABS data systems. Provide strategic evaluation of ABS data system-related issues and support developing strategic plans for improvement initiatives. Coordinate, collect, consolidate, and test ABS data systems to problem solve, validate, account for DON requirements, and support Financial Improvement and Audit Readiness (FIAR). Develop training materials for ABS data systems. Provide ABS data systems support, including but not limited to hands-on or remote training and job aids. Develop and maintain a website to support the DON ABS data systems communities. Participate in the review of various ABS data systems (for software releases), and support the implementation of correcting functioning software. Assist the government with communications management activities to support liaison across the DON Secretariat, with the subordinate commands (services and Budget Submitting Offices), and with the OSD (including Defense Logistics Agency, U.S. Cyber Command, and Defense Information Systems Agency) offices critical to ABS data systems policy and execution. Required Experience/Skills: Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. Experience with Qlik, PowerBI, Python, and others, and applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience working in an Echelon 1 organization (the highest organizational levels within the U.S. Navy) and working with Senior Executive Service Civilians, and Flag Officers/General Officers is highly recommended. Education Requirement/Required Years of Experience: Minimum of a Bachelor's degree. Minimum of 5-7 years of data scientist experience. Preferred experience with involvement in defense acquisition programs. Security Requirement(s): Candidates for this position must be eligible to obtain a US DoD Secret Clearance (required U.S. citizenship) Company Description Incorporated in 2012, MDW is a small business with headquarters in McLean, VA, and offices in Huntsville, AL. We provide Federal government clients with consulting, management services, advisory and assistance services, decision support, strategic planning, process planning and improvement, task execution, and metrics analysis. Our mission is to make our clients more successful by providing honest assessments, exceptional analysis, prudent advice, direct communication, and hard work. Our core capabilities include: Strategic Planning Cost Estimating Budget Programming and Justification Budget Execution Acquisition Management Financial Systems Support & Integration MDW Associates, LLC ("MDW") is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, religion, color, sex, sexual orientation, gender identity, national origin, age, marital status, covered veteran status, mental or physical disability, pregnancy or any other unlawful basis unrelated to the ability to do the job. MDW seeks to employ talented, ethical, and entrepreneurial-minded persons. Our applicants and employees are protected from discrimination as required by Federal law. Additional Information We offer a competitive and comprehensive benefits and compensation package for our employees, including but not limited to: Health Dental Vision Group Life Insurance/Long Term Disability/Short Term Disability Retirement/401(k) Flexible Leave Policy All information will be kept confidential according to EEO guidelines

Benefits: Company parties Competitive salary Opportunity for advancement Training & development Title - Data Scientist Client - World Bank Job Description (Posting). : About HCLTech HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit *************** Data Scientist Job Summary The Data Scientist plays a critical role in the organization by creating systems and processes to gather and analyze unstructured 'big data'. This role focuses on generating valuable insights and developing visualization tools that enhance client service delivery and improve product offerings. The Data Scientist collaborates with various stakeholders to leverage data for strategic business solutions. (1.) Key Responsibilities 1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders. 2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities. 3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis. 4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals. 5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.Skill Requirements 1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch. 2. Proficient In Python Programming For Data Manipulation And Algorithm Development. 3. In-Depth Knowledge Of Sql For Effective Data Querying And Management. 4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets. 5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.Certification 1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable.

Job DescriptionClearance Level: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg is seeking a Data Scientist who can turn structure and unstructured data sets into useful information to solve challenges. You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems. Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML. Basic Qualifications: 2+ years of experience with one or more of following programming languages: Python, Java, or SQL Experience with designing and executing machine learning models and applications Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement Advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization Knowledge of Data Science Libraries (e.g. SparkML, Tensorflow, Sci-Kit Learn) Knowledge of applying time-series / regression analysis, clustering-methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems Experience cleaning data for data science applications Preferred Qualifications: Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Experience with business intelligence tools like Tableau Experience with data lakes/warehouses Experience with cloud services, including AWS, Azure, or Google Cloud Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models Possession of excellent verbal and written communication skills A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.

Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood-by analysts and business leaders alike. Our AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that's easily integrated into the flow of work. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022! Our fast-growing team is looking for a skilled, motivated and reliable Data Scientist TS/SCI to help grow our company. What you'll do Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers. Work with customer data and own the development of an AI solution from ideation to production Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Your qualifications Must have an active TS/SCI security clearance and be willing to work from an SCIF. Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs. Regular travel anticipated to client sites/military bases. Degree in Computer Science. 3+ years of experience writing production-ready code in Python. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc. 1 year of experience deploying a machine learning model in a production environment. 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.). 3 years of experience with Git (or an alternative version control tool). 1 year of Experience with Docker and/or Kubernetes. A strong sense of ownership and accountability. Excellent written and verbal communication skills in English Pluses Demonstrated experience in leading the development efforts for a project from a SCIF. Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka. 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal. What We Offer You We are a team of ambitious individuals who are passionate about creating a revolutionary software company. At Virtualitics, you will have a significant career development opportunity and a chance to contribute to one of the fastest-growing startups in Southern California. Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO. Virtualitics is committed to building a company where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where talented people of all cultures, ages, perspectives, opinions, education, backgrounds, races, gender identity, religions, orientations, abilities, and beliefs can grow and thrive with Virtualitics.

Job DescriptionDescription: Job Title: Senior Data and Wildfire Scientist Terms: Full Time 37.5 Hours Per Week Reports to: Director of Climate Finance About Us: The American Forest Foundation (AFF) unlocks the power of family forests as a climate solution while helping thousands of landowners care for their land and improve forest health. Through its Family Forest Carbon Program, AFF expands access to the voluntary carbon market for family forest owners from all walks of life while producing high quality forest carbon credits to help companies reach their net zero goals. The organization's strategic direction seeks to enable family forests to capture and store one billion tonnes of carbon by 2050. We do not do this alone. AFF works across a broad coalition of conservation partners, corporations, and policymakers to equip family forest owners with financial and technical support to implement sustainable forest management practices on their lands and activate their forests as a critical tool in the fight against climate change. AFF is in a mode of complex problem solving and rapid iteration. All teams at AFF are working to discover solutions to the planet's most pressing climate issues through developing and iterating viable and scalable models for impact. AFF is driven by values of our shared purpose, measurable and verifiable results, and learning for continuous improvement to tackle big conservation challenges. About the Role: The Senior Data and Wildfire Scientist will play a central role in strengthening the scientific and methodological foundations of AFF's programs, particularly the Fire Adapted Forests avoided emissions methodology and the Family Forest Carbon Program (FFCP). This position leverages expertise in data informatics, advanced statistical analysis, and remote sensing to build digital monitoring, reporting, and verification (dMRV) systems that ensure scientific credibility, market alignment, and scalability. The Senior Scientist's will also support AFF's work to better quantify ecosystem co-benefits - including biodiversity, water, and resilience outcomes - alongside carbon benefits, providing holistic and credible accounting of conservation impact. This role is within the Innovation Team of AFF and sits at the intersection of exploratory, data-driving approaches that help AFF achieve interdisciplinary science, methodology, and applied program delivery, helping to ensure AFF remains a leader in family forest climate solutions. Requirements: Responsibilities: Provide leadership for technical and science-based development of new carbon practices, project types, and quantification of co-benefits (including biodiversity, water, and community resilience) to expand AFF's methodologies and program offerings. Lead the development and implementation of risk quantification and mitigation strategies aligned with AFF's climate strategy, with a particular focus on market mechanisms to address wildfire risk and avoided emissions. Design and refine digital monitoring, reporting, and verification (dMRV) frameworks that integrate remote sensing, GIS, informatics, and field data across AFF's practice areas. Analyze large datasets using advanced statistical and geospatial tools to monitor carbon stocks, wildfire emissions avoidance, and ecological change over time. Conduct high-level research on forest carbon dynamics, including sequestration, avoided emissions, and forest health, with direct application to FFCP methodologies. Collaborate with AFF's wildfire, carbon, and science teams to ensure scientific rigor in methodological applications and monitoring frameworks. Support field teams in data collection protocols and provide QA/QC to ensure accuracy and consistency. Prepare grant proposals, scientific papers, reports, and technical documentation to support funding and share outcomes. Engage with external stakeholders - including researchers, standard-setting bodies, and market actors - to represent AFF and advance innovation in carbon accounting and dMRV. Candidate Requirements: Ph.D. or equivalent experience in forest ecology, data science, remote sensing, or related field. Demonstrated expertise in: Remote sensing and GIS applications (satellite, aerial, LiDAR). Advanced statistical analysis, informatics, and/or machine learning. Forest carbon dynamics, wildfire risk modeling, and ecological monitoring. Proven track record in methodological development for carbon accounting or environmental monitoring. Familiarity with carbon markets, ecosystem monitoring, and MRV/dMRV systems. Strong record of scientific publication and ability to communicate results to technical and non-technical audiences. Ability to collaborate effectively across interdisciplinary teams and with external partners. Core Competencies: Agility - Thriving in volatile, uncertain, complex and ambiguous environments by anticipating and responding to changes with swift, focused and flexible actions. Collaborating with Others - Working together with others in a cooperative and supportive manner to achieve shared goals. Ensuring Accountability - Holding yourself and others to high standards of accountability, creating an infrastructure and transparent organization culture that supports and measures personal and organizational responsibility and accountability. Problem Solving - Identifying problems and the solutions to them. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. Job Function Competencies: Scientific Rigor - Ability to design and implement methods that withstand peer and market scrutiny. Data-Driven Analysis - Skilled at managing large, complex datasets and generating actionable insights. Innovation - Applies creative approaches to methodological development and co-benefit quantification. Communication - Able to translate technical outputs into accessible insights for funders, landowners, and partners. What's attractive to the right candidate?: You have the unique and exciting opportunity to work with amazing colleagues, partners and landowners to help connect forest landowners with technical and financial assistance to better steward their land and achieve vital landscape-scale conservation impacts. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. We offer a flexible work environment that respects your life outside of work. Salary is commensurate with experience. AFF offers a comprehensive and competitive benefits package. Contact us to apply We know there are great candidates who may not check all these boxes, and we also know you might bring important skills that we haven't considered. If that applies to you, don't hesitate to apply and tell us about yourself. **************************************************** We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other basis protected by law.

General Job Information This position is in the Department of Insurance Securities and Banking, Insurance Bureau (DISB), Actuarial Division. The mission of the Department of Insurance, Securities, and Banking (DISB) is three-fold: cultivate a regulatory environment that protects consumers and attracts and retains financial services firms to the District; empower and educate residents on financial matters; and. provide financing for District small businesses. The incumbent in this role is responsible for analyzing the financial costs of risk and uncertainty using advanced mathematical skills, statistics, and financial theory. This analysis is crucial for assessing the risk associated with potential events, aiding the agency in developing policies and dealing with the measurement and management of risk and uncertainty. Duties and Responsibilities Applies actuarial, accounting, and statistical principles to assess property and casualty and/or health insurance rates, informing decisions on claim severity and frequency projections. Analyzes loss ratios, development factors, expense allowances, and considers investment income to inform strategic decision-making in insurance pricing and risk management. Develops methods of statistical reporting by insurance companies and rating bureaus for purposes of enhancing the rate review and measuring the profitability of various kinds of financial products. Coordinates support for fellow Bureau staff to understand and explain the impact of rate filings. Qualifications and Education A bachelor's degree that included courses in actuarial science, mathematics, relevant statistics, business, finance, economics, insurance, or computer science totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics that included differential and integral calculus and one or more courses in mathematics for which these calculus courses were prerequisites. AND Specialized Experience is experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. To be creditable, one (1) year of actuarial specialized experience must have been equivalent to at least the next lower grade level in the normal line of progression. Licenses and Certifications None Working Conditions/Environment The work is performed in a typical office setting. Other Significant Facts Tour of Duty: Monday - Friday; 8:15 a.m. - 5:00 p.m. Pay Plan, Series and Grade: CS-1510-13 Promotion Potential: No known promotion potential. Duration of Appointment: Career Service Permanent. Collective Bargaining Unit: This position is in a collective bargaining unit (AFSCME 2743), and you may be required to pay an agency service fee through direct payroll deduction. Position Designation: The incumbent of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC Personnel Regulations, Suitability - Security Sensitive. EEO Statement: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Job Description Exploitation Specialist - Data Scientist Skill Level 4-Senior Current TS/SCI Required Current CI POLY required Exploitation Specialist - Data Scientist Primary responsibilities: Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Primary skill requirements: Work across the office enhance workflows in addition to create efficiencies that result in greater productivity. Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. Apply statistical and analytic methods to support answering intelligence questions and mission requirements. Build lightweight analytic tools to visualize analytic outputs for intelligence consumers. Design methods and mechanisms to track, report, and monitor a set of mission specific objects in order to maintain custody of those objects for various orders of battle.

Job DescriptionJoin the Nalley Consulting team as a Data Scientist at DIA Headquarters. Data ScientistLCAT: MidLocations: DIAC, Joint Base Anacostia BollingShift: No Required clearance: Active TS/SCI clearance Required education: Bachelor's degree Basic Qualifications: Python experience. 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of target data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Additional Qualifications / Nice to have: Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel MBA An active CI polygraph ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: Excellent medical, dental, and vision benefits PTO 11 paid federal holidays Tuition assistance Paid military-reserve leave Paid parental leave for birth or adoption 401k matching up to 5 percent of the base salary Flex time Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR AvDxIrOOVX

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************