4,390 Results for

Remote Jobs in Lane, CA

Jobs

Current PhD - Data Science Internship - Summer 2027 Capital One Financial Corp

McLean, VA

Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier: A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field). As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives.

30+ days ago

Data Science Engineer, Lead Booz Allen Hamilton

Mclean, Virginia

You’ll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies to make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

3 days ago

Data Engineer - Data Architecture for Data Science & Machine Learning Pennsylvania State University

Reston, VA

$146,040–$318,840 / year

We are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Information Science Division of the Applied Research Laboratory (ARL) at Penn State. The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage technologies-such as NoSQL, graph, and time-series databases-and can guide the organization in choosing the right tools and structures for each data use case.

30+ days ago

Manager, Data Science - People Tech Capital One Financial Corp

McLean, VA

$197,300–$225,100 / year

Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor''s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

2 days ago

Principal Associate, Data Science - Model Risk Office Capital One

McLean, Virginia

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

16 days ago

GNSS Data Science and Navigation Analyst Johns Hopkins Applied Physics Laboratory

Laurel, Maryland

Full time

APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. In this role you will conduct in‑depth assessments, devise innovative algorithms, and team with multidisciplinary experts to define instrumentation and sustainment requirements that keep our systems aligned with the nation’s evolving strategic deterrence objectives.

30+ days ago

Data Science AI Engineer Integral

Tysons, Virginia

$160,000–$185,000 / year
Full time

Overview: The Data Scientist AI Engineer provides advanced data analytics, machine learning, and AI‑driven solution engineering to support the Department of Veterans Affairs (VA), Office of Information and Technology (OIT), Product Delivery Services (PDS), Benefits and Memorials (BAM), Memorial and Benefit Services (MBS) deliver secure, reliable, and effective Information Technology (IT) solutions that support the Department’s mission. Incorporate data analytics requirements into designs and data pipelines; deliver cross‑cutting tools for data migration, aggregation, mining, and analytical integration; and establish data baselines, analyze query patterns, and identify opportunities to optimize database and pipeline performance.

30+ days ago

2027 PhD Graduate - Statistics and Data Science Johns Hopkins University Applied Physics Laboratory LLC

Laurel, MD

You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.

24 days ago

Data Science and Data Visualization Subject Matter Expert (SME) CACI

Chantilly, Virginia

Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data clearly and effectively.

4 days ago

Data Analyst, Senior Booz Allen Hamilton Inc

Springfield, VA

$112,800–$257,000 / year

Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Experience serving as a subject matter expert in data analytics, data modeling, and data visualization, and developing or modifying statistical and predictive analytical models, algorithms, queries, and methodologies.

9 days ago

Manager, Data Science Capital One

McLean, Virginia

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

12 days ago

Head of Data Science - Document Verification & Biometrics Socure Inc

Washington DC, DC

Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships. This role owns the end-to-end data science strategy and execution across document understanding, facial biometrics, and reusable identity systems, powering seamless and secure identity experiences.

30+ days ago

Technical ArchitectApply HiLabs Inc

Bethesda, MD

nResponsibilities\n \nActing as a trusted technical advisor throughout complex enterprise sales cycles\n \nPartnering with Account Executives to drive strategic customer engagements\n \nLeading product demonstrations, technical workshops, and solution discussions\n \nDesigning solution strategies aligned with customer business and operational goals\n \nTranslating complex technical concepts into compelling business value narratives\n \nSupporting RFPs, RFIs, security reviews, and technical validation processes\n \nCollaborating with Product and Engineering teams to influence roadmap and product enhancements\n \nSupporting go-to-market initiatives including webinars, industry events, and executive presentations\n \nBuilding scalable technical assets including demo environments, solution briefs, and presentations\n \nDesired Profile\n \n8 to 12+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing technical roles\n \nStrong understanding of healthcare provider data management, credentialing, and enrollment workflows\n \nFamiliarity with healthcare regulatory frameworks such as NCQA, CAQH, CMS\n \nProven ability to influence both technical and business stakeholders in enterprise sales cycles\n \nStrong experience delivering technical presentations and executive-level customer engagements\n \nExcellent communication and storytelling skills with the ability to simplify complex technical concepts\n \nStrong collaboration experience across Sales, Product, Engineering, and Marketing teams\n \nExperience with healthcare IT systems, integrations, and interoperability concepts is highly preferred\n \nLocation & Work Model\n \nOnsite role based in Bethesda, Maryland\n \nOpen to candidates across the US who are willing to relocate\n \nOpportunity to work directly with senior leadership and strategic healthcare customers\n \nResponsibilities\n \nArchitecting scalable, reliable, and high-performance healthcare platforms\n \nDesigning cloud-native applications using AWS, Azure, or GCP\n \nDriving backend and full-stack architecture using Java, Spring Boot, and Microservices\n \nBuilding modern APIs, distributed systems, and reusable platform components\n \nCollaborating with Product, Data Science, and Engineering teams to deliver AI-driven solutions\n \nMentoring engineers and influencing engineering best practices across teams\n \nDesired Profile\n \n10+ years of software engineering experience with strong architecture expertise\n \nDeep hands-on experience with Java, Spring Boot, Microservices, REST APIs\n \nStrong understanding of distributed systems, cloud platforms, Docker, Kubernetes\n \nExperience building scalable SaaS or enterprise platforms\n \nExposure to React, modern frontend technologies, and Big Data ecosystems is a plus\n \nStrong communication, technical leadership, and problem-solving mindset\n\n\n \nLocation & Work Model\n \nOnsite role based in Bethesda, Maryland\n \nOpen to candidates across the US who are willing to relocate\n \nOpportunity to work directly with senior leadership and strategic healthcare customers\n. Use different front-end technologies to build intuitive and responsive user Interfaces\n \nCreation of highly modular and reusable components/APIs as per the business needs\nDesign and development of robust application tier and backend architecture using different technologies\n\n \nManaging the complete software development process from conception to deployment\n \nFollowing best design and development practices to ensure high quality of software\n \nDesign, build and maintain efficient, secure, reusable, and reliable code\nStay updated on emerging technologies and industry trends, integrating relevant advancements into our software development practices.\n\n \nContribute to the technical roadmap and strategy, identifying opportunities for optimization and enhancement of our AI solutions\n \nCollaborate with stakeholders to gather feedback, address technical challenges, and iterate on product features to meet customer needs\n\n\n \nDesired Profile\n \nBachelor's or master's degrees in computer science, Mathematics, or any other quantitative discipline\n \n10+ years of experience in software development, with at least 3 years in a technical architect role, experience in developing JAVA/J2EE/Spring based applications.\n\n\n \nProficiency in designing and deploying cloud-native applications using AWS, Azure, or GCP.\n \nStrong understanding of microservices architecture, API development, and containerization technologies (e.g., Docker, Kubernetes) \n \nStrong knowledge of object-oriented programming concepts and principles\nExpertise in Spring-Boot & Spring stacks\n\n \nStrong knowledge of Microservices, RESTful API design and development\n \nGood understanding of large system architecture and design\n \nExperience working with React, jQuery, HTML5/CSS3, and Bootstrap frameworks.\n \nUnderstanding of Big Data technologies is a plus\n \nKnowledge of the AWS cloud environment is a plus\n \nExperience using Version Control tools such as Bitbucket/GIT code repository\n \nExperience using Tools like Maven/Jenkins, JIRA\n \nExperience working in an Agile software delivery environment, with exposure to\ncontinuous integration and continuous delivery tools\n\n \nPassionate about technology and delivering solutions to solve complex business problems\n \nGreat collaboration and interpersonal skills\n \nAbility to work with team members and lead by example in code, feature\ndevelopment, and knowledge sharing.\n\n

30+ days ago

2027 PhD Graduate - Statistics and Data Science Johns Hopkins Applied Physics Laboratory

Laurel, Maryland

Full time

You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation’s strategic weapons systems throughout their lifecycle. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.

25 days ago

Data Analyst/Python Programmer - Remote SynergisticIT

College Park, MD

Remote

$95,000–$154,000 / year

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.

30+ days ago

Manager, Data Science - Emerging ML Capital One

McLean, Virginia

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. In Emerging ML, you will work at all phases of the data science lifecycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.

30+ days ago

Associate Principal Data ScientistApply HiLabs Inc

Bethesda, MD

HiLabs TeamMultidisciplinary industry leadersHealthcare domain expertsAI/ML and data science expertsProfessionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).ResponsibilitiesLead and oversee data science initiatives involving large and complex datasets to support business strategy and organizational objectives to implement techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and/or visualization software. Associate Principal Data Scientist CompanyOur SolutionsWho We HelpResourcesFree ToolsBook a DemoCareer PageExplore JobsApplication FormBack to Explore JobAssociate Principal Data ScientistBethesda, Maryland, United StatesEngineeringMid LevelAssociate Principal Data ScientistBethesda, Maryland, United StatesApplyThe HiLabs StoryHiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation.

30+ days ago

Data Engineer Verite Group, Inc.

Chantilly, VA

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're particularly interested in people with any of the following experience: Work on this program takes place throughout the Reston/Herndon/Chantilly, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer).

30+ days ago

Principal Solutions ConsultantApply HiLabs Inc

Bethesda, MD

Use different front-end technologies to build intuitive and responsive user Interfaces\n \nCreation of highly modular and reusable components/APIs as per the business needs\nDesign and development of robust application tier and backend architecture using different technologies\n\n \nManaging the complete software development process from conception to deployment\n \nFollowing best design and development practices to ensure high quality of software\n \nDesign, build and maintain efficient, secure, reusable, and reliable code\nStay updated on emerging technologies and industry trends, integrating relevant advancements into our software development practices.\n\n \nContribute to the technical roadmap and strategy, identifying opportunities for optimization and enhancement of our AI solutions\n \nCollaborate with stakeholders to gather feedback, address technical challenges, and iterate on product features to meet customer needs\n\n\n \nDesired Profile\n \nBachelor's or master's degrees in computer science, Mathematics, or any other quantitative discipline\n \n10+ years of experience in software development, with at least 3 years in a technical architect role, experience in developing JAVA/J2EE/Spring based applications.\n\n\n \nProficiency in designing and deploying cloud-native applications using AWS, Azure, or GCP.\n \nStrong understanding of microservices architecture, API development, and containerization technologies (e.g., Docker, Kubernetes) \n \nStrong knowledge of object-oriented programming concepts and principles\nExpertise in Spring-Boot & Spring stacks\n\n \nStrong knowledge of Microservices, RESTful API design and development\n \nGood understanding of large system architecture and design\n \nExperience working with React, jQuery, HTML5/CSS3, and Bootstrap frameworks.\n \nUnderstanding of Big Data technologies is a plus\n \nKnowledge of the AWS cloud environment is a plus\n \nExperience using Version Control tools such as Bitbucket/GIT code repository\n \nExperience using Tools like Maven/Jenkins, JIRA\n \nExperience working in an Agile software delivery environment, with exposure to\ncontinuous integration and continuous delivery tools\n\n \nPassionate about technology and delivering solutions to solve complex business problems\n \nGreat collaboration and interpersonal skills\n \nAbility to work with team members and lead by example in code, feature\ndevelopment, and knowledge sharing.\n\n \nDesign, deploy, and manage CI/CD pipelines across multiple environments to ensure seamless application delivery.\n \nAutomate the code delivery pipeline with goals of achieving one-click deployments, rollbacks, and parameterized builds.\n \nImplement best practices for securing cloud infrastructure, including VPC, IAM, security groups, and NACL.\n \nDesign and deploy monitoring solutions using AWS CloudWatch and ELK Stack to ensure optimal performance of infrastructure and applications.\n \nLead initiatives to strengthen cloud security through the introduction of new solutions and improvements.\n \nCollaborate with software engineers, QA, and other cross-functional teams to ensure a smooth development and deployment process.\n \nLead projects through design, pilot, and deployment phases for new DevOps and security solutions in production.\n \nDesired Profile\n \nProven experience with AWS services such as EC2, S3, Lambda, VPC, CloudFront, API Gateway, ECS, IAM, CloudFormation, and CodeDeploy.\n \nHands-on experience with Infrastructure as Code (IaC) tools like CloudFormation and Terraform.\n \nWorking knowledge of Kubernetes, Helm, and Argo for managing containers, deploying applications, and automating workflows.\n \nProficiency in containerization using Docker and deployment orchestration tools such as Jenkins and GitHub Actions.\n \nExperience with automating infrastructure management and application deployment using Python, Bash, Shell scripting, or similar programming languages.\n \nExperience with CI/CD pipelines and build automation.\n \nStrong understanding of cloud security principles, including IAM roles, security groups, VPC, and other AWS security mechanisms.\n \nMonitoring and performance tuning experience for AWS infrastructure (EC2, RDS, S3).\n \nExperience with relational and non-relational databases like RDS and DynamoDB.\n \nStrong background in Linux systems administration and experience with web and application server technologies like Apache, Nginx, IIS, etc.\n \nFamiliarity with Agile/Scrum development methodologies.\n

30+ days ago

Data Science & Analysis - AI Training - Washington DC, US Prolific Academic Ltd

Washington, DC

We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.

30+ days ago

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