data science specialist

Core One

<div>
 Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance!
 
 
 The program will support US Special Operations Command (SOCOM) at MacDill AFB in Tampa, Florida.
 
 
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 This position is contingent upon contract award*
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 This position requires a TS/SCI Clearance*
 
 
 
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 Responsibilities:
 
 
 
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 Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat detection, classification, tracking, and behavioral analysis in support of operational and programmatic requirements.
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 Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing, feature engineering, model development, validation, deployment, and monitoring.
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 Support the integration of ML models and AI-enabled capabilities into UAS/sUAS detection systems, ISR platforms, sensor fusion architectures, and command and control systems.
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 Provide technical oversight and guidance during model testing, validation, and operational evaluation to ensure algorithm performance meets mission requirements and identify areas for improvement.
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 Analyze large volumes of structured and unstructured data from multiple sources, including sensor data, imagery, signals, and open-source information, to develop actionable intelligence insights.
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 Support the development and review of technical proposals, white papers, and research assessments related to AI/ML applications in UAS detection, counter-UAS operations, and autonomous systems.
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 Coordinate with program managers, data engineers, and government stakeholders to ensure data pipelines, storage architectures, and computing infrastructure support ML model development and deployment at scale.
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 Apply computer vision, natural language processing (NLP), and signal processing techniques to develop multi-domain analytical capabilities in support of UAS/sUAS threat analysis.
 
 
 
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 Qualifications:
 
 
 
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 Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline; Master's degree or PhD preferred.
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 Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications.
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 Demonstrated experience with the full ML development lifecycle, including data preprocessing, model training, hyperparameter tuning, validation, and production deployment.
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 Hands-on experience with data engineering tools and platforms including SQL, Spark, Kafka, and cloud-based data services such as AWS, Azure, or Google Cloud.
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 Experience working with multi-source sensor data, including RF signals, EO/IR imagery, radar, and acoustic data, to develop sensor fusion and anomaly detection capabilities is highly desirable.
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 Strong analytical and problem-solving skills with the ability to translate complex data findings into actionable insights and communicate results to both technical and non-technical audiences.
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 Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in support of UAS/sUAS or ISR applications is highly desirable.
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 Familiarity with DoD data standards, cybersecurity requirements, and AI ethics frameworks including the DoD AI Strategy and Responsible AI guidelines.
 
 
 
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 </ul>
 
 Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
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</div>

Data Scientist

Elder Research Inc

<div>Senior Data Scientist
General Information
Requisition # 717
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
Minimum Qualifications:
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

Senior Data Scientist

The Home Depot

Position Purpose: The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. Key Responsibilities: 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient utilizing statistical techniques to identify key insights that help solve business problems Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated experience in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist - Network Strategy

Motion

<div>SUMMARY: 
Under limited supervision, the Data Scientist works closely with business stakeholders to understand how data can be used to achieve their goals. Designs data modeling processes, creates algorithms and predictive models and helps analyze the data and shares insights. Critical thinking and problem-solving skills are essential for interpreting data. Must have a passion for machine-learning and research. This position will be tasked with helping the company analyze trends to make better data-based decisions.<div> 

JOB DUTIES: 
<ul><li>Analyzes large amounts of information to discover trends and patterns.</li><li>Designs machine learning models for predictive analytics.</li><li>Presents information using data visualization techniques.</li><li>Undertakes preprocessing of structured and unstructured data.</li><li>Identifies valuable data sources and automates collection processes.</li><li>Performs other duties as assigned.</li></ul></div>

EDUCATION &amp; EXPERIENCE: 
Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination.
<div>
KNOWLEDGE, SKILLS, ABILITIES: 
<ul><li>Basic knowledge of software development principles and architecture.</li><li>Excellent verbal and written communication skills.</li><li>Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.</li><li>Must be a team player with excellent analytical and problem solving skills.</li></ul></div>

COMPANY INFORMATION: 
Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.</div>

Data Scientist, Finance

SARIM BUILDING MATERIALS TRANDING L.L.C

SARIM BUILDING MATERIALS TRANDING L.L.C is a growing company specializing in the trading and supply of high-quality building materials across the UAE market. We are committed to innovation, operational excellence, and data-driven decision-making to support our continued growth and customer satisfaction.Position OverviewWe are looking for a highly motivated and analytical Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, generating business insights, and supporting strategic decision-making across sales, operations, supply chain, and customer management.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple business sources</li><li>Develop predictive models and machine learning algorithms</li><li>Create dashboards and reports for business stakeholders</li><li>Identify trends, patterns, and opportunities for business optimization</li><li>Work closely with management and operational teams to improve decision-making</li><li>Automate reporting and analytical processes</li><li>Conduct statistical analysis to support business growth strategies</li><li>Monitor KPIs and recommend data-driven improvements</li><li>Ensure data accuracy, integrity, and security</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field</li><li>Proven experience as a Data Scientist or Data Analyst</li><li>Strong knowledge of Python, SQL, and data visualization tools</li><li>Experience with machine learning frameworks and statistical modeling</li><li>Familiarity with Power BI, Tableau, or similar BI tools</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication and presentation abilities</li><li>Experience in trading, retail, supply chain, or construction industry is a plus</li></ul>Preferred Skills<ul><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Experience with ERP and business management systems</li><li>Understanding of forecasting and inventory optimization</li></ul>What We Offer<ul><li>Competitive salary package</li><li>Professional growth opportunities</li><li>Dynamic and collaborative work environment</li><li>Opportunity to work on real business challenges with impactful data solutions</li></ul>Pay: AED23,450.00 per monthWork Location: In person

US Veterans Benefits Administration

SIGMA DEFENSE

<div>Sigma Defense is seeking a Data Scientist to join our team in San Diego NB, CA.
Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems 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. 
Requirements 
<ul><li>
5+ years of experience developing, analyzing, or deploying data-driven solutions.</li><li>
Experience with data analysis, visualization, or decision support tools.</li><li>
Experience with Python or similar programming languages.</li><li>
Experience using version control systems (e.g., Git).</li><li>
5+ years of experience with machine learning or AI enabled systems.</li><li>
Must be a U.S. citizen.</li></ul>
Candidate Differentiators:<ul><li>
NWIC PAC Experience.</li><li>
Experience in Airborne Networking Domain.</li></ul>
Computer Programs/Software:<ul><li>
Experience with natural language processing or large language models.</li><li>
Experience deploying applications in operational environments (afloat/ashore).</li><li>
Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift).</li><li>
Experience supporting cybersecurity considerations in software development.</li><li>
Experience working with DOW or NAVAIR program office.</li></ul>
Personnel Clearance Level:<ul><li>
Candidate must possess or have the ability to obtain an active Top Secret security clearance or higher.</li><li>
Clearance may be sponsored for the right candidate.</li></ul>
Education Requirements:<ul><li>
Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study.</li></ul>
Essential Job Duties (not all-inclusive):<ul><li>
Collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure.
</li><li>Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
</li><li>Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
</li><li>Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
</li><li>Conducts statistical modeling and experiment design, and tests and validates predictive models.
</li><li>Builds web prototypes and performs data visualization.
</li><li>Conducts scalable data research on and off the cloud. Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models.
</li><li>Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
</li><li>Implement new or enhanced software designed to access and handle data more efficiently.
</li><li>Trains the data management team on new or updated procedures.
</li><li>Writes and implements quality procedures.</li></ul>
Salary Range: $130,000 - $150,000 annually. 
Benefits 
<ul>
<li>Dental and Vision Insurance</li>
<li>Medical Insurance to Include HSA, FSA, and DFSA Plans</li>
<li>Life and AD&amp;D coverage</li>
<li>Employee Assistance Program (EAP)</li>
<li>401(k) Plan with Company Matching Contributions</li>
<li>160 Hours of Paid Time Off (PTO)
</li><li>12 (Floating) Holidays</li>
<li>Educational Assistance</li>
<li>Highly Competitive Salary</li></ul></div>

1698 - Data Scientist

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1698 - Data Scientist