701 to 725 of 2,933 Permanent Data Science Jobs

You will play a key role within a small data science team. Client is looking for hands on experience developing solutions for complex data science problems using Python, R, Hadoop, and Greenplum (or other Massively Parallel Processing solutions). REQUIRED SKILLS: Bachelor's Degree in a quantitative or technical field of study, such as Statistics, Mathematics … Computer Science, or Geospatial Information Systems 3 years' experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods Demonstrated problem solving skills Demonstrated presentation skills for conferences, including but not limited to presenting at professional or academic conferences Qualifications: 3 years' experience in ESRI ArcGIS 3 years' experience developing … scripts, APIs, and/or programs using 1 or more of the following: C++, Java, Shell, Perl, Python 3 years' experience programming in Python, C++, R, or Interactive Data Language (IDL) 1 year experience working with geospatial data or imagery data 1 year experience working with database structures and query tools 2 years' experience in technical writing More ❯

models Refine and update developed capabilities based on lessons learned during deployment of the features Ensure compatibility between the variety of features being developed and deconflict where the same data types are requested by multiple teams Provide subject matter expertise and guide the team in managing the Teamwork Cloud environment This position is expected to be 100% onsite. The … has been active in the past 24 months is considered active) Ability to obtain and maintain Special Access Program (SAP) clearance Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 14+ years related … or Groovy Typical Education & Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience More ❯

in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow. Additionally, you will contribute to the program's source code, implementing data science techniques. Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the … Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve. If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. … collaborate, and problem solve. This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. Clearance: TS/SCI Clearance required. Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of More ❯

. (A U.S. Security Clearance that has been active in the past 24 months is considered active) Active Top Secret (SCI) Basic Qualifications (Required Skills and Experience): Bachelor of Science degree from an accredited course of study in engineering, chemistry, physics, mathematics, data science, or computer science Level 4: 9+ years of work-related experience with … such as electrical, mechanical and systems Typical Education & Experience: Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience More ❯

Overview: Tasks: Lead software development initiatives, turning customer needs into innovative data products. Company: Join a leader in analytics for top financial institutions worldwide. Benefits: Enjoy flexible hybrid work, competitive salary, 25 days leave, and private medical cover. Why this job: Be part of a transformative team shaping the future of financial software with real impact. Qualifications: Experience in … B2B product management and data architecture is essential; tech-savvy candidates preferred. Other info: Collaborate with diverse teams and engage in exciting projects across technology and data science. Salary range: £60-90,000 base This firm builds analytics and business intelligence products that are integral to how the world's largest corporate and investment banks, asset managers and … that delights them. As a Product Manager you will be the owner of multiple software development initiatives. Working closely with the customer and the technology, business, relationship management, operations, data science and governance teams you will: Discover the underlying unmet needs from the customers; Define and agree the outcomes and acceptance criteria; Orchestrate the design of the prototype More ❯

Jr. Data Scientist (Supply Chain & Weapons Production Networks) Please note that the availability of this position is contingent upon award. Description: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. … Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled … in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data all source analytics, ML, and More ❯

advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. … Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government … analysts use them to extract and enrich intelligence information around the globe. The Role As a Data Software Engineer, you will leverage your skills in data science, machine learning, and software development to operationalize advanced statistical machine learning algorithms and support production-level systems. You will closely work with other software engineers and researchers to design cutting More ❯

position has not yet been funded. We are currently soliciting resumes from interested candidates in anticipation of contract award. Background: Navanti is seeking a highly analytical and mission-aligned Data Scientist to support the FBI's Hi-Tech Organized Crime Unit (HTOCU) at FBI Headquarters in Washington, DC. This position directly contributes to advanced criminal investigations and intelligence operations … candidate will support two specialized teams-the Joint Criminal Opioid and Darknet Enforcement (JCODE) Team and the Mobile Encrypted Networks and Communications Exploitation (MENACE) Team. These teams rely on data fusion, enrichment, and visualization to investigate encrypted communications, darknet marketplaces, and other high-risk digital threats. Work will be performed onsite and requires an active Top Secret clearance with … Counterintelligence (CI) polygraph. Core Responsibilities: Perform data wrangling, normalization, and transformation on investigative datasets. Create statistical models and dynamic visualizations that reveal patterns, anomalies, and leads. Enable investigators and analysts by converting raw data into actionable formats. Recommend and implement data architectures, storage frameworks, and retrieval pipelines. Collaborate with technical and investigative stakeholders to define analytical requirements. More ❯

a seasoned research analyst like you to help us solve complex problems for our clients. On our military operations and research analysis team, you'll lead the evaluation of data assessment strategies such as statistical analysis, evaluation, and mission analysis to deliver solutions. You won't go at it alone ; you'll guide your team to c ond uct … research, prepare graphs and charts, and analyze and interpret programmatic or cost data such as lifecycle cost models and estimates, cost and benefit analyses, M & S outputs, operational data and models, and what-if analysis. Once documented, you'll oversee the development of assessments and recommendations to impact future force planning decisions for the Department of Defense. In … Join us. The world can't wait. You Have: 10+ years of experience c ond ucting operations research analysis Experience with defense management of forces, units, equipment, or infrastructure data Experience leading analytic teams consisting of operations research, data science, and data visualization analysts Knowledge of the DoD's Planning, Programming, Budget ing, & Execution ( PPBE ) process More ❯

Amyx is seeking to hire a Lead Analyst - Data Analytics to support our Department of Homeland Security, CISA contract in the Washington DC area. Responsibilities Manage data analtyics activities across our data analysis task Must have the ability to communicate accurate information Qualifications Required: Current DHS Suitability Clearance at least six (6) years of demonstrated experience acting … as a senior data analyst, including at least three years applied to national security, defense security, or homeland security data. a degree in the fields of Mathematics, Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of quantitative based coursework (in the fields of mathematics, statistics, or engineering), including at least six … credit hours of calculus. experience in presenting and communicating the results of analysis to project stakeholders. relevant certifications in the field of data science (e.g., Microsoft Certified Solutions Expert: Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional) Benefits include: Medical, Dental, and More ❯

clients to rapidly develop innovative solutions for our clients' immediate mission challenges with a focus on developing ML models. In your role, you will work on teams with other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. In this position, you will develop … rapid prototype solutions to mission challenges by leveraging existing open-source models and technologies. Sample topic areas may include object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. Required Qualifications Required Skills: All degrees must be in a STEM field such as computer science, statistics, data analytics, computer … engineering, mathematics, etc. Experience working professionally in a Data Science or Development environment within the IC space(s). Experience developing and using agentic AI frameworks including Autogen. Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing. Experience with asynchronous Python More ❯

Digital Ecosystem. This future digital engineering ecosystem consists of interconnected technologies, platforms (such as manned and/or unmanned aircraft), and services that work together to enable collaboration and data exchanges among various participants, including customer and industry. This interconnectedness enhances customer mission readiness and effectiveness and drives innovation. Position Responsibilities Lead system refinement, development, integration, testing, and fielding … has been active in the past 24 months is considered active Ability to obtain and maintain Special Access Program (SAP)clearance Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ years related … Confluence, Gitlab Typical Education & Experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience More ❯

Prescient Edge is seeking a Sr. Data Scientist to support a federal government client. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: A competitive salary with performance bonus opportunities. Comprehensive healthcare … 000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data. Description: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more … infom1ed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes. Duties typically include creating various ML based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. More ❯

Research Data Analyst 3 or 4 Oakland, CA, Job ID 80657 University of California Agriculture and Natural Resources Job Description The University of California Agriculture and Natural Resources (UC ANR) seeks a Financial Data Analyst (classified as Research Data Analyst 4) to develop, maintain, and optimize financial software solutions that support the Division's financial operations. UC … As the land-grant arm of the UC system, ANR manages over $300 million in funding and employs over 1,600 academic and staff personnel. The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets from multiple enterprise sources. This role will collaborate with Resource Planning and … Management, Financial Services, IT, and administrative teams to customize and implement applications that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This More ❯

Job Role : Data & AI Consultant - SAP S/4HANA Location: London/Manchester/EdinburghCareer Level : ConsultantAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse … by advancements in technology such as AI. Organizations are seeking agility and resilience to stay competitive and drive growth. At Accenture, we help clients navigate this transformation by leveraging Data & AI to unlock value and drive business transformation. Our Data & AI SAP S/4HANA capability team within the Strategy & Consulting practice is at the forefront of this … as SAP ECC ERP and SAP BW, by exploring tailored solutions that leverage best-of-breed tools and technologies. Whether transitioning to SAP S/4HANA, integrating SAP Business Data Cloud, or adopting advanced non-SAP data platforms, we focus on redefining data strategies and enabling intelligent business outcomes. By combining deep expertise in SAP technologies with More ❯

gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives . Key Responsibilities Model Integration : Integrate AI/ML models into applications (e.g. … and platforms like TensorFlow Serving or AWS SageMaker. Dashboard Development : Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift. Drift and Health Monitoring : Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed. Logging … systems with ELK Stack, OpenTelemetry , or LangSmith to capture AI events, errors, and traces for debugging and auditing. Security Implementation : Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART). System Optimization : Optimize model inference for performance (e.g., via quantization, edge deployment) and More ❯

CONTINGENT POSITION JOB SUMMARY We are looking for a senior-level Data Scientist to support the Army G-6 with advanced semantic modeling, ontology development, and quantitative data analysis. The ideal candidate will be adept at using large datasets to uncover opportunities for mission optimization, while designing and implementing semantic models and knowledge graphs that support smarter decision … making across Army operational domains. They must have strong experience in data mining, model building, and statistical analysis, combined with technical proficiency in semantic technologies. The right candidate will have a passion for structuring complex data into actionable insights and collaborating with stakeholders to improve mission outcomes. RESPONSIBILITIES Work with Army stakeholders to identify opportunities for leveraging data …/unstructured datasets to identify trends, correlations, and mission-relevant insights. Develop predictive models, simulations, and algorithms to support operational decision-making. Perform ETL processes to integrate and validate data from multiple Army and enterprise sources. Visualize and present findings to stakeholders using dashboards, reports, and knowledge graph queries. Coordinate with cross-functional and joint teams to implement models More ❯

Title: Data Scientist Location: NYC NY Type Contract Job Description: 7 to 11 years of experience in data science or engineering. Develop and maintain scalable data pipelines. Build predictive models and automate ETL processes. Optimize SQL queries and manage relational databases. Collaborate with cross functional teams to deliver data-driven solutions. Communicate insights through data visualization and storytelling. Ensure data integrity and resolve discrepancies. Hands on with Pytorch, TensorFlow, Bert, Deep learning/Neural network. Strong analytical and problem-solving abilities. Effective communication and collaboration. Ability to work independently and prioritize tasks. Positive attitude and team spirit. Skills Mandatory Skills : GCP Data Architecture, MDM Conceptual, Data Architecture, Data lakehouse Architecture … Dimensional Data Modeling More ❯

and space programs by providing mission context and system-level knowledge that enhances the development and delivery of technical solutions. This position plays a critical role in ensuring software, data science, and analytics projects are aligned with real-world mission objectives and system behaviors. This is a flexible, cross-project role in which the selected candidate will contribute … Provide Mission Understanding: Support teams by offering deep knowledge of missile defense systems, components, operations, and relevant test and evaluation considerations. Support Cross-Functional Teams: Contribute to projects involving data analysis, AI/ML development, simulation, or software engineering by offering system context and operational relevance. Enable Data Relevance and Interpretation: Assist in identifying critical data elements … ensuring datasets are used appropriately, and helping teams understand what the data represents within a missile defense context. Float Across Projects: Serve as a flexible resource assigned to various teams and programs based on project priorities, providing continuity and alignment with mission goals. Bridge Mission and Technology: Translate operational needs into actionable insights for technical teams and assist in More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We are currently recruiting for a … Data Analyst to join our Data team. We’re on the lookout for someone who can bring strong analytical and design skills to our projects. In this role, you’ll be responsible for shaping solutions from the ground up – analysing requirements, designing effective approaches, and making sure that every outcome is clear and measurable. This position offers excellent … support for those who are looking to progress into the world of Data Science or Analytical Engineering. What you’ll do: Conduct deep-dive analysis to generate insights that drive business decisions and performance. Work closely with collaborators from different departments in cross-functional agile teams. Extract, analyse and present data to both technical and non-technical More ❯

well-being. This includes 100% employer- paid medical insurance, ample paid leave, a free employee assistance program, and a competitive 401k savings plan. At Watermark, our people come first! Data Analyst In this role you will Execute Data Pipeline and Ontology Development and shall have experience working in dynamic environments with stakeholders from multiple external organizations. Experience Requirements … Shall have at least 1 year working with data engineering in the Palantir Foundry data integration platform or approved equivalent, inclusive of both data pipelines and complex ontology development. Have demonstrable extensive knowledge of distributed computing frameworks (e.g., Spark) and Foundry programming languages (Python, PySpark, SQL, TypeScript). Strong background in data analysis, data modeling … or a similar domain. Expertise in evaluating data elements, object names, and their attributes, with a keen eye for detail and accuracy. Education Requirements: Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field. Certification Requirements: Must achieve Foundry Data Engineer certification within 90 days of hiring Security Clearance Requirements: TS More ❯

solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where … data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data More ❯

include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work locationKey Responsibilities: Responsible for developing and implementing the data models for assigned reports, dashboards and business intelligence applications including, but not limited to gathering necessary data requirements, understanding presentation layer needs, and developing the semantic layer, analytic … views, virtualization layers, logical data models, working with the application DBAs to implement better physical data models and working with developers on solving challenging and difficult data and data performance issues. Demonstrates creative thinking to resolve problems. Provides hands-on technical knowledge & leadership working with database developers, DBAs, architects, data quality analysts, and other teams … local business users to understand business processes, gather technical requirements, evaluate proof of concepts, and design, develop, and support analytical solutions using Microsoft Power BI, and SQL. Expertise in Data Modeling, complex Data Analysis Expressions (DAX), and Dataflows. Partner with architecture teams to ensure end-user reporting needs are met by the existing data warehouse platform. Research More ❯

organizations. ACT leads concept development, capability development, training and lessons-learned initiatives, and supports policy development within NATO. Available Positions (multiple openings) Contract Support Contract Procurement Enterprise Architect AI Data Scientist Business Intelligence Analyst Applied Technology Engineer Cyberspace Developer (Depending on your background and experience, you may be considered for one or more of these roles). Candidates will … be expected to (depending on their assigned position) perform one or more of the following: Lead or support projects related to systems engineering, systems integration, logistics, cybersecurity, and tactical data links. Develop and execute strategies for acquisition, contract performance, and implementation of mission systems. Interface with contract officers and program managers to ensure compliance, performance, and deliverables. Design, document … and maintain enterprise architectures, standards, and governance frameworks that align with DoD and NATO requirements. Use data science, machine learning, and AI techniques to analyze operational and technical data for trend detection, predictive modeling, and decision support. Create and maintain business intelligence dashboards, reports, and analytics capabilities to provide actionable insights to leadership and stakeholders. Design, build More ❯

About Velocity-X: Velocity-X, a VelocityBlack company, constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Velocity-X is seeking a highly motivated and self-directed professional to fill … team in Northern Virginia. Responsibilities: Design, develop, and implement machine learning models and algorithms to solve specific business problems. Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. Collaborate closely with data … of best practices and standards for machine learning development and deployment within the team. Document machine learning models, experiments, and deployment processes. Potentially work with large datasets and big data technologies. Optimize machine learning models for performance and efficiency. Qualifications: Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of More ❯