Data scientist jobs in Annapolis, MD

The primary role of the **Data Scientist** is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. **Position Responsibilities** + Build and assess analytic models tailored to mission-specific needs + Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods + Develop reproducible workflows and ensure data integrity + Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. + Organize, clean, and curate large datasets for analysis + Present complex technical findings in a way that is accessible to technical and non-technical stakeholders **Experience** + Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. + Minimum 3+ years' relevant work experience. + Experience with software development working with Python in a Unix environment. + Experience using the Unix command line. + Practical knowledge in Python Machine Learning and Data Visualization + Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning + Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. + An active TS/SCI with polygraph **Additional Requirements** + Experience using the Atlassian Tool Suite. + Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS + Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) **Physical Demands** + Ability to work in an office environment (Constant) + Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) **Salary Range: $107,000 to $212,000** The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. **Clearance Level** Top Secret with Poly **ITAR Requirement:** _T_ _his position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements._ **Benefits** : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************* . We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. **Who We Are** Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. **What We Do** Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. _We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status._ **ITAR** U.S. Citizenship required **About AV:** **AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.** We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve. Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next. **If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.** **Careers at AeroVironment (*****************************************

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

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%.

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.

DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email.

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

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.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Job Description Location: McLean, VA 22102 Duration: 6+ months (could go beyond) Description: • The candidate for this position will provide analytical support to the Data Science Division in the Cyber, Cloud and Data Science Service line. • The successful candidate will support the enterprise through designing solutions for data collection, preparation, and model building to develop end-to-end analytic lifecycles to synthesize actionable information. • The candidate will determine appropriate tools and methods for specific projects to design the analytics solution either as a standalone system, or an analytics embedded inside and overall solution. • The candidate will be working in teams that include enterprise architects, intelligence analysts, data and visualization experts, software developers, and system engineers, and will have an excellent opportunity to broaden skills. • The candidate must have experience in developing and deploying solutions for customers. Applicant must have skills applicable to one or more of the following areas: • Data wrangling, cleansing, and analytics • The data science process • Presenting work to both technical and non-technical audiences • Statistical evaluation • Machine Learning, Predictive Modeling Qualifications Applicant should have skills in one or more of the following areas: • Machine Learning Technologies, such as Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • R libraries: base, MASS, plyr, rpart, random Forest, maps/mapproj/rworldmap, zoo, adabag, animation, ggplot, igraph, jsonlite, mclust, pROC, hexbin • Python libraries: numpy, scipy, matplotlib, scikit-learn,etc • SPSS, Oracle Data Miner, SAS Base, DataMiner, Dataflux, STAT • Entity Resolution - Basis Technology Rosette Name Indexer (RNI), Global Name Recognition (GNR), Probabilistic Matching Engine, Trillium Software (TS) Quality • Apache Hadoop 2.x, MapReduce, Elastic Search 1.4.x, Sqoop, Pig • Familiar with Libraries: such as ATS SSO, ATS-common framework, Highchart, jersey, jtidy, one2team, iText, Spring/Spring STS, JSON, Network Markov Clustering, Topic Modeling Tool, Naïve Bayes, Apache Commons, Google's Guava, Apache Log4j, Open CSV, SecondString • Working in interdisciplinary teams. Additional Information To discuss on this in more detail, Please contact: Himanshu Prajapat ********************************** ************

Every hour you save in the collection cycle is an hour the adversary doesn't get to move, hide, or change the picture. That's the difference between having intelligence when it matters and having it after it's too late. This is your chance to be a part of the National Geospatial-Intelligence Agency Source Office, directly supporting CENTCOM operations. You'll be building AI-powered tools that don't just analyze data, but initiate action. Your code will recommend complex collection strategies to Source Strategy Officers, trigger automated GEOINT collection without waiting for human approval, and get results into analysts' hands fast enough to change the outcome. You'll be integrating AI into real, operational systems-JEMA, GIMS, RemoteView, ArcPro, etc. and seeing exactly how your automation speeds up the fight of time. You'll watch the before-and-after difference your tools make and know you had a direct hand in changing the intelligence picture. If you've been waiting for the moment your AI actually drives how the U.S. collects intelligence, this is it. Join XTS today! Requirements You have a current active Top Secret / SCI clearance. You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Experience with developing AI tools that can integrate with platforms like JEMA and GIMS to recommend mission-ready GEOINT collection strategies. If you're ready to see your code move faster than the adversary, shape decisions in real-time, and watch the difference you make in the fight for time, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

The World Justice Project (WJP) is seeking a full-time Senior Data Scientist - Consultant to support its Data Analytics Unit. This position will contribute to WJP's global research on rule of law issues by supporting data analysis and report production processes. The role involves designing and implementing machine learning models, developing AI agents, and working with large language models (LLMs) to support a range of research projects. WJP's global research and data team is based in Washington, DC, and this position will be remote. About the World Justice Project The World Justice Project (WJP) was launched in 2009 to promote justice and the rule of law globally. It is best known for its Rule of Law Index, the world's leading source on the performance of 143 countries in relation to absence of corruption, open government, civil and criminal justice, fundamental rights, and other rule of law standards. Drawing on the Index methodology, WJP also undertakes in-depth studies on particularly countries and topics, such as access to justice, criminal justice, environmental governance, and corruption. WJP puts this data and research into action to strengthen the rule of law through convening, engagement, and support of a global network-including through the biennial World Justice Forum and World Justice Challenge. At a time when the rule of law is facing fundamental challenges throughout the world, WJP's mission to strengthen respect for justice, peace, and fundamental rights is more pressing than ever. For more information, please visit worldjusticeproject.org. Responsibilities Design and implement machine learning models and statistical analyses to support WJP research initiatives Lead technical infrastructure modernization including containerization and cloud deployment strategies Develop and maintain agentic AI systems and LLM-powered tools for data analysis workflows Provide technical mentorship to other team members on advanced analytics techniques Collaborate with research teams to translate complex data questions into analytical solutions Qualifications Technical Skills Advanced proficiency in Python and R for statistical analysis and machine learning Experience with LLMOps and deployment of large language model applications SQL for database management and complex queries (bonus) Git/GitHub for version control and collaborative development Docker and containerization technologies Understanding of cloud computing concepts (AWS, Azure, or GCP) Basic HTML/CSS for report customization Understanding of RESTful APIs and web scraping techniques Preferred Qualifications Strong experience with scikit-learn and other ML frameworks Knowledge of agentic systems and AI workflow automation Strong statistical background including dimensionality reduction techniques (PCA, factor analysis, MDS, t-SNE) Expertise in data imputation methods and handling missing data Experience with latent variable modeling (SEM, IRT, mixture models) Master's degree or PhD in Computer Science, Statistics, Data Science, or related field How to Apply To apply for this position, please visit our employment portal: ************************************************************ The following materials are required for this position: Resume Writing sample. It can be in Spanish or English. Contact information for three professional references Please submit all application materials in one PDF document. Applications will be reviewed on a rolling basis. Due to the high volume of applications received, we are only able to follow up directly with candidates selected for interviews. No phone calls please.

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.

**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 (***************************************************************************************************************************

Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager! We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. Responsibilities * Lead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. * Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. * Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. * Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. * Collaborate with business development teams to identify new opportunities using data-driven insights. * Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. * Ensure the team's outputs align with organizational objectives and performance benchmarks. * Partner with research and market analysis units to interpret complex data sets into actionable intelligence. * Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. * Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you! Minimum Qualifications * Bachelor's degree in Aeronautical Engineering or a related quantitative discipline. * Minimum years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. * An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. * Experience in business development and market research functions preferred. Preferred Qualifications/ Skills Required Professional Competencies * Proven experience in team leadership and project management within a data analytics or pricing environment. * Strategic mindset with strong problem-solving and decision-making abilities. * Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical Skills * Statistical modeling, forecasting, and data analytics proficiency. * Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. * Familiarity with process design tools such as Miro for workflow optimization. * Experience in predictive analytics and quantitative research methodologies. * Strong ability to interpret large data sets and deliver business-oriented recommendations. Key Attributes * Analytical thinker with a passion for data-driven decision-making. * Proactive leader capable of managing diverse teams and competing priorities. * High attention to detail and commitment to quality deliverables. * Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? * Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation * Make an impact - Drive change for global enterprises and solve business challenges that matter * Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities * Work with the best - Join 140,000 bold thinkers and problem-solvers who push boundaries every day * Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity "Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only." Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. '1653015

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

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.

Job DescriptionOverview DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email. Powered by JazzHR cybfv HfnJq

Clearance 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.

Senior Manager - Senior Data Scientist and Program Manager-ANA019699Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact. com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager!We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. ResponsibilitiesLead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. Collaborate with business development teams to identify new opportunities using data-driven insights. Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. Ensure the team's outputs align with organizational objectives and performance benchmarks. Partner with research and market analysis units to interpret complex data sets into actionable intelligence. Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you!Minimum QualificationsBachelor's degree in Aeronautical Engineering or a related quantitative discipline. Minimum of 10+ years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. Experience in business development and market research functions preferred. Preferred Qualifications/ SkillsRequired Professional CompetenciesProven experience in team leadership and project management within a data analytics or pricing environment. Strategic mindset with strong problem-solving and decision-making abilities. Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical SkillsStatistical modeling, forecasting, and data analytics proficiency. Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. Familiarity with process design tools such as Miro for workflow optimization. Experience in predictive analytics and quantitative research methodologies. Strong ability to interpret large data sets and deliver business-oriented recommendations. Key AttributesAnalytical thinker with a passion for data-driven decision-making. Proactive leader capable of managing diverse teams and competing priorities. High attention to detail and commitment to quality deliverables. Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity “Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only. ” Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior ManagerPrimary Location USA-AlexandriaSchedule Full-time Job Posting Nov 13, 2025, 1:43:59 PMUnposting Date Jan 12, 2026, 6:29:00 PM

Job Title: DATA SCIENTIST Workplace: Hybrid Clearance Required: MUST HAVE AN ACTIVE SECRET CLEARANCE Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with active clearances interested in supporting the U.S. Government. When new cleared 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: AI / Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include: Develop and implement predictive models and machine learning algorithms to identify patterns. Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities. Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks. Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations. Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data. Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects. Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders. Keep abreast of the latest developments in AI, machine learning, and data science. Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects. Participate in the development of strategies and policies related to crime prevention and detection. Assist in preparing reports and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings Required Education: Bachelor s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-6 years of relevant work experience. Or, a Master s Degree with 2+ years of relevant work experience Preferred Skills and Qualifications: AWS foundational technologies GenAI technologies 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.