876 to 900 of 3,162 Permanent Data Science Jobs

achieve success and offer an inclusive and collaborative culture where your voice is valued. Our Analytics team is changing the culture of Amex GBT, helping our commercial teams make data-driven decisions. As a Sr. Analytics Manager, you'll bring your experience in strategy and communication, and collaborate with analysts, data scientists, and data engineers to bring … data to life. This is a phenomenal opportunity for those who wish to grow, develop, and innovate as we guide the future of the business travel industry. What You'll Do Work directly with internal partners in commercial to define problems, recommend analytical approaches, and deliver solutions. Act as a thought partner in commercial analytics, guiding the effective use … of data across the customer lifecycle Translate customer feedback into commercial insights to improve client satisfaction and retention Translate complex analytical findings into compelling, actionable insights for senior executives and non-technical audiences Work with data governance to enhance data availability, quality and accessibility Tell compelling stories with data that help drive business decisions What We More ❯

i3), we are redefining situational awareness for the Intelligence Community, Department of Defense, and commercial sectors. Our innovative platforms-such as Optix, Thresher and Dragonspell-process petabytes of streaming data in near real time, applying advanced algorithms and machine learning to deliver actionable intelligence. Our browser-based applications empower users to visualize, analyze, and understand complex environments across land … role in shaping the future of our situational awareness capabilities. You will work as part of a talented team to develop and deploy enterprise-level applications that transform raw data into meaningful insights. Your expertise will guide the design and implementation of intuitive, high-performance user interfaces that meet the needs of our diverse user base. DUTIES AND RESPONSIBILITES … to best practices. Technical Leadership: Provide guidance and mentorship to junior engineers, fostering a collaborative and innovative team environment. Cross-Functional Collaboration: Work closely with UX/UI designers, data scientists, and downstream solution teams to deliver cohesive and effective solutions. Continuous Improvement: Contribute to the evolution of our development processes, tools, and technologies to enhance efficiency and product More ❯

thinking and impactful leader to join our People Enablement team as the Director, People Analytics & AI. A newly created role at Arm, designed to accelerate our People Group's data maturity and leverage AI and analytics to drive insight, effectiveness, and excellent experiences for our people. This role will sit at the heart of Arm's journey to becoming … a more data- and AI-driven People function! This role has two core responsibilities Leading our People Analytics team - driving insight and decision-making through data and storytelling. Owning the People Group's roadmap for AI - embedding AI and automation into everything we do to transform the people experience and our efficiency. A high-impact role, sitting at … the intersection of people strategy, technology, and data science! You'll work in close partnership with senior People leaders, IT, and the Digital & AI teams to ensure we are proactive, ethical, and effective in the way we use data, automation, and AI. Responsibilities: People Analytics Lead, coach and develop a high-performing team of People Analysts, building More ❯

collaborative team to deliver state-of-the-art capabilities. You will be responsible for designing, developing, and deploying machine learning (ML) models and systems while bridging the gap between data science prototypes and production-ready applications, often working closely with data scientists and software engineers. In essence, your responsibilities will include researching, building, and maintaining AI systems … driven mission. This position is located in our Washington DC office Your future duties and responsibilities: Model Development: Designing and implementing ML algorithms and models, including deep learning models. Data Handling: Preprocessing, analyzing, and preparing large datasets for model training and evaluation. System Integration: Collaborating with software engineers to integrate ML models into production systems. Performance Optimization: Continuously improving … Maintenance: Monitoring model performance in production, troubleshooting issues, and ensuring model reliability. Staying Updated: Keeping abreast of the latest advancements in ML, AI, and related technologies. Collaboration: Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions. Required qualifications to be successful in this role: Experience: Shall possess a minimum 8 years of experience related More ❯

Department of Defense (DoD), Department of State (DoS), Health and Human Services (HHS), and the US Intelligence Community (IC). Specializing in bringing business value to customers through their data, whether that be in the cloud or on-prem, derived through traditional big data approaches or AI/ML techniques. Our core competencies are Enterprise Software Solutions, Architecture …/Engineering, AI Engineering, Data Science, and Data Analytics. GENERAL DUTIES: Design, Develop, and Maintain Software Systems: Create, enhance, and maintain complex software systems, including real-time, analytics-heavy, or business applications, based on documented and derived requirements. Lead and Collaborate on Development Projects: Work independently or lead teams to execute software projects; delegate tasks and monitor … and execute test procedures, review software components for adherence to design specs, and ensure quality control across team deliverables. Database and Algorithm Development: Design and implement complex algorithms and data interfaces; develop queries and manage interactions with large-scale data systems or repositories. Documentation and Standards Compliance: Write, review, and improve technical documentation; recommend and implement enhancements to More ❯

and integrate Machine Learning (ML) solutions such as Generative AI (Gen-AI) that provide finished intelligence recommendations, accelerate document analysis and synthesis. Work closely with technical leads, database architects, data scientists, and Information Systems Security Officers (ISSO) to build and integrate applications and ensure secure and seamless data flow and accessibility with both internal and external systems. Maintain … CGI PM and DPM of any issues or trends that pose a risk to mission priorities. Required qualifications to be successful in this role: Bachelors degree in engineering, computer science, data science, mathematics, or similar technical discipline. 10+ years' Experience leading teams of mobile application developers. Experience with managed cloud services such as Amazon Web Services (AWS … to integrate and facilitate capabilities such as authentication and authorization, data storage and processing, REST Application Programming Interface (API) integration and content delivery. Understanding of building new mobile delivery applications and modernizing existing systems to integrate with data polyglots including relational, data warehouses, in-memory, document, vector, and graph databases. Understanding of ML concepts and knowledge of More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/… proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team More ❯

s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro … will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks: To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging Enhance, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development … and Architect team Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings Experience and education required for this role: BS in Engineering, computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master-s degree. Must have More ❯

Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights. Do you want to work at the intersection of Engineering, Machine Learning, Data Science, and GenAI? If so, we want to hear from you! We are seeking a seasoned senior scientist with expertise in computer vision to join the Amazon Studios … AI Labs team. This is a hybrid applied science and engineering team that is developing AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards. Key job responsibilities We are looking for a Senior Applied Scientist with domain expertise in Computer Vision who will lead the development of new algorithms and E2E solutions. You will be part … mentoring junior scientists. We value your ability to balance scientific innovation with practical business impact while maintaining Amazon's high technical bar. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally … familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time More ❯

the Missile Defense Agency (MDA) Engineering Directorate Modeling & Simulation (M&S) Office (DES) team. This role involves developing and maintaining advanced software tools aimed at enhancing analysis, productivity, and data management. You will work with cross-functional teams to design, implement, and optimize solutions that drive operational efficiency and improve user experience. In this role, the Software Engineer will … with strong experience in Atlassian Jira and Confluence to join our team. In this role, you will be responsible for designing, developing, and maintaining tools and scripts to automate data management processes, improve workflow efficiency, and support internal operations. The ideal candidate is a proactive problem solver with a solid background in scripting, APIs, and integrating systems. You will … play a key role in enhancing internal platforms and ensuring accurate, efficient handling of data across systems. Responsibilities: Design and implement tools and scripts in Jira, Confluence, and SharePoint to automate data extraction, transformation, and reporting tasks. Customize Jira and Confluence workflows, templates, and macros to support business processes. Collaborate with cross-functional teams to understand automation requirements More ❯

CI Poly required (No Exceptions) Preferred Qualifications: Technical experience and knowledge of distributed storage networks, routing and application messaging frameworks. Demonstrated knowledge of analytical needs and requirements, query syntax, data flows, and traffic manipulation. Experience with Splunk Dashboards Experience with NiFi, HA Proxy, Docker, Kubernetes, and ElasticSearch/OpenSearch Experience with Certification & Accreditation processes What you can expect from … Corporate Discount Programs Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat … detection. Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative More ❯

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced … scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting … and cost-to-acquire modelling Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java More ❯

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant … community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save … always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. Job Overview: A Senior More ❯

Program Management leading R & D efforts and developing concepts for t rus ted autonomous systems, artifi cia l intelligence, machine learning, or autonomy algorithms Experience with AI, federated learning, data fusion, tracking, modern and classical control, or sensor resource management autonomy algorithms Experience leading multidisciplinary, hybrid , and remote development teams on te chn ical projects, such as AI/… MLOps, CI/CD systems, and asso cia ted development philosophies Experience with implementation of unsupervised, supervised, or reinforcement learning approaches Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Sof tware Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access More ❯

practices for maintaining AI/ML software packages on cloud systems Enable the effective deployment of off-the-shelf technologies with enhancements to meet each unique client need Ensure data processing, storage, and retrieval operations are effectively implemented and in accordance with client security guidelines Identify and make recommendations to close or avoid software or infrastructure technical security issues … and public clouds Understanding of and experience with the five pillars of a well-architected framework Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts Knowledge of web services, API, REST, and … RPC AWS certification Requirements: Bachelor's degree (or equivalent) in computer science, information technology, or mathematics Pursuant to Executive Order 12968, August 2, 1995, this position requires U.S. citizenship Current U.S. government top secret clearance with eligibility for SCI and counterintelligence scope polygraph Ideal candidate will have experience in the Department of Defense or Intelligence Community. Salary Range More ❯

proactive customer-focused advocate, and a team player with BI and reporting experience. The ideal candidate is a motivated, detail-oriented individual who is equally comfortable with back end data structures and visualization and story-telling. A willingness to work through initial ambiguity and drive to tangible results is a must. Flexibility and a desire to continuously develop new … located in Chantilly, VA. Your future duties and responsibilities: Work with business partners to design and deliver a wide variety of BI/Analytic related solutions ranging from initial data acquisition through to end user content and reports. Perform analysis and document high level requirements, impact analyses, user stories and detailed functional specifications Create and maintain documentation related to … solution requirements, data flow diagrams, data taxonomy, business glossary and data lineage. Understand data from multiple viewpoints, from an enterprise perspective to a business unit perspective and managing it in such a way that it can be understood and leveraged across the organization. Define standardized data sets for consumption by data science teams More ❯

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps … optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant … Zones are you on? Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days. Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the More ❯

Team: STR's Analytics Division develops novel solutions to the most challenging national security problems through advanced analytics. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to everyday use by our customers. The Decisions Systems (DS) Group … This position requires an Active Top Secret (TS) Security Clearance with SCI eligibility, for which U.S citizenship is needed by the US government BS, MS, or PhD in Computer Science or related technical field 3-5+ years of relevant experience depending on degree (BS + 5 years or MS + 3 years) Demonstrate expertise in Java and Object More ❯