Scientist jobs at Simulations Plus

About Sandia: Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* *These benefits vary by job classification. What Your Job Will Be Like: Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. You will join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. We anticipate multiple hires for the Data Pillar that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities: + Build and operate an AI-Ready Lakehouse + Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services + Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs). + Enforce Data Security & Assurance + Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests + Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required + Define and Implement Data Governance + Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies + Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity + Instrument AI Workflows with Standardized Telemetry + Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations + Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects + Collaborate Across Pillars + Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines + Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge + Engage domain scientists and mission leads for agile deterrence, energy grid, and critical minerals use cases to curate problem-specific datasets + Support Continuous Acquisition & Benchmarking + Design edge-to-scale data acquisition systems with robotics and instrument integration + Develop data/AI benchmarks: datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: + Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata + Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave + Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue + Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records + Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you are passionate about building the data backbone for next-generation AI at scale, we want to hear from you. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. Salary Range: $114,000 - $227,500 *Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. Qualifications We Require: + Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field, plus five (5) years of directly relevant experience, or an equivalent combination of education and experience + Ability to acquire and maintain a DOE Q clearance Qualifications We Desire: The ideal R&D S&E Data Scientist candidate for Sandia National Laboratories will in addition possess the following: + Graduate degree (M.S. or Ph.D.) with a significant data research component where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation). + Experience in developing software for enterprise and national security applications. + Experience acquiring, preparing, and analyzing real world data + Demonstrated software development skills and familiarity with modern software development practices. + Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment, guiding technical decisions and mentoring junior staff. Also, for this posting we are seeking individuals with the following experience: Also, for this posting we are seeking individuals with the following experience: + Graduate degree in Data Science, Informatics, Statistics, or a related STEM field with a significant data research component + Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification + Hands-on knowledge of data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy + Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data practices + Curating and managing scientific or engineering datasets + Data architecture for HPC and edge-computing environments + Advanced data fusion techniques for heterogeneous and streaming data sources + Building data pipelines for feature stores, experiment tracking, and model drift monitoring + Designing and enforcing data policies for classified, export-controlled, or proprietary data + Collaborating on public private partnerships or multi-lab federated data efforts + Demonstrated expertise in building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes + Proficiency in programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask + Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes) About Our Team: The Computational Science Department performs leading-edge software development and technical analysis through physics-based modeling and simulation, using our applications expertise as 'power users' to guide software development at Sandia's Center for Computing Research. Our goal is to establish first-of-a-kind uses of this software in diverse applications of national importance, ranging from nuclear stockpile stewardship to global climate modelling, and spanning multiple disciplines of the physical sciences and engineering. As both developers and analysts, we act as a bridge to set a standard for computational simulation for the broader user community and to incorporate critical feedback from users for continuous improvements in our software development activities and products. Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance: Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs: If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Job ID: 696224 Job Family: RD Regular/Temporary Position: T Full/Part-Time Status: F

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. You will join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. We anticipate multiple hires for the Data Pillar that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities: * Build and operate an AI-Ready Lakehouse * Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services * Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs). * Enforce Data Security & Assurance * Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests * Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required * Define and Implement Data Governance * Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies * Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity * Instrument AI Workflows with Standardized Telemetry * Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations * Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects * Collaborate Across Pillars * Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines * Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge * Engage domain scientists and mission leads for agile deterrence, energy grid, and critical minerals use cases to curate problem-specific datasets * Support Continuous Acquisition & Benchmarking * Design edge-to-scale data acquisition systems with robotics and instrument integration * Develop data/AI benchmarks: datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: * Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata * Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave * Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue * Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records * Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you are passionate about building the data backbone for next-generation AI at scale, we want to hear from you. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. Salary Range $114,000 - $227,500 * Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. Qualifications We Require * Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field, plus five (5) years of directly relevant experience, or an equivalent combination of education and experience * Ability to acquire and maintain a DOE Q clearance Qualifications We Desire The ideal R&D S&E Data Scientist candidate for Sandia National Laboratories will in addition possess the following: * Graduate degree (M.S. or Ph.D.) with a significant data research component where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation). * Experience in developing software for enterprise and national security applications. * Experience acquiring, preparing, and analyzing real world data * Demonstrated software development skills and familiarity with modern software development practices. * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment, guiding technical decisions and mentoring junior staff. Also, for this posting we are seeking individuals with the following experience: Also, for this posting we are seeking individuals with the following experience: * Graduate degree in Data Science, Informatics, Statistics, or a related STEM field with a significant data research component * Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification * Hands-on knowledge of data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy * Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data practices * Curating and managing scientific or engineering datasets * Data architecture for HPC and edge-computing environments * Advanced data fusion techniques for heterogeneous and streaming data sources * Building data pipelines for feature stores, experiment tracking, and model drift monitoring * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Collaborating on public private partnerships or multi-lab federated data efforts * Demonstrated expertise in building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes * Proficiency in programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask * Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes) About Our Team The Computational Science Department performs leading-edge software development and technical analysis through physics-based modeling and simulation, using our applications expertise as 'power users' to guide software development at Sandia's Center for Computing Research. Our goal is to establish first-of-a-kind uses of this software in diverse applications of national importance, ranging from nuclear stockpile stewardship to global climate modelling, and spanning multiple disciplines of the physical sciences and engineering. As both developers and analysts, we act as a bridge to set a standard for computational simulation for the broader user community and to incorporate critical feedback from users for continuous improvements in our software development activities and products. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Apply for Job * Careers * Sign In * New User

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1$219,300-$296,700 USDUS Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. At Dedrone, we're always on the lookout for exceptional talent to join our mission of securing airspace and advancing drone detection technology. If you're passionate about innovation, solving complex challenges, and pushing the boundaries of what's possible - but don't see a current opening that's the perfect fit - we still want to connect. We're especially interested in hearing from experienced professionals in Engineering, Product Management, and Technical Program Management who are excited about shaping the future of counter-drone solutions. What You Can Expect: We'll review your resume and keep it on file for upcoming opportunities that align with your skills and interests. If there's a potential fit, our team will reach out directly. You'll join a growing network of innovators who are as passionate about technology and safety as you are. Submit your resume and a brief note about what excites you about Dedrone - we'll take it from there. Let's build the future of airspace security together. Work Location This role is based out of our Sterling Office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the . If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at ****************************** or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email **********************. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications: Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically: Python programming. Google Gemini, OpenAI GPT, LLaMA, or similar models. LangChain, LlamaIndex, or similar frameworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field. LLM model fine-tuning. Embedding model fine tuning. Shell scripting. Google Cloud Vertex AI (AutoML, AI APIs, etc.). Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). MLOps (ideally on GCP). Data Engineering (including SQL). Personal Attributes: Strong ethics. Strong technical aptitude. Engineering mindset/developer background. Strong sense of ownership and teamwork. Curious, always learning to get better. Enjoys working with clients. Excellent communication skills. Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses Check out our complete list of benefits here - >******************************** Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

USRA and the Science and Technology Institute are seeking a full-time Scientist, Heliophysics, to work in our Huntsville Al office. USRA supports The NASA Space Environments Team which is responsible for defining the space environment focusing primarily on environments relevant to crewed spacecraft design, operations, and risk mitigation. The team also performs analyses using design environments to support spacecraft design studies, evaluates new models and research to maintain knowledge of state-of-the-art in the space environments discipline, and engages in model development and improvement activities. NASA and USRA work collaboratively to meet these goals and responsibilities. Essential Duties/Responsibilities: Provide technical support to EV44/Natural Environments Branch in defining and monitoring the plasma environments relevant to human and robotic space exploration. Maintain knowledge of state-of-the-art and evaluate plasma and spacecraft charging research models and engineering tools for use in crewed spacecraft design and development activities. Evaluate space plasma environments and their effects on crewed spacecraft systems. Perform spacecraft charging analyses for in-space and lunar surface crewed assets using Nascap-2k, Ansys Charge Plus, and NUMIT2.0, including particle-in-cell simulations. Document results of evaluations and analysis in the form of internal reports, journal publications, and program technical documents, and present results to internal and external customers. Support program specific space environments discipline leads by attending program spacecraft design discussions, presenting to program-level control boards and meetings, and providing expert consultation to design partners related to plasma interactions with spacecraft surfaces and spacecraft charging analysis. Programs span all near-Earth regions of space, including Low Earth Orbit, Lunar Orbit and Surface, Mars Orbit and Surface, and near-Earth Interplanetary space. Support program specific space environments discipline leads by serving as plasma environment subject matter expert for program milestone and interim document reviews and providing expert evaluation of partner plasma environment definitions, application of environments in design analyses, and detailed review of analyses and accuracy of results. This includes support developing program concerns and risks and supporting or leading activities toward closure. Support program specific space environments discipline leads as a general space environments discipline representative in program and design partner meetings and provide notes to the discipline team for cognizance and discussion. Attend and present work at relevant conferences and technical meetings, approximately four expected per year. Examples of conferences include the Applied Space Environments Conference, Spacecraft Charging Technology Conference, and Space Weather Workshop. Perform other duties as assigned. Required Qualifications: Knowledge of plasma physics Knowledge of spacecraft charging highly preferred. Experience with programs such as with Python, C++, or particle-in-cell simulations. Demonstrate strong technical writing and presentation skills. Ability to work on diverse, cross-discipline teams with people of different technical backgrounds. Ability to multi-task and transition between quick turnaround assignments. Demonstrate the capability to plan and perform analyses independently and within a team. Education: Ph.D. in physics, space science, engineering, astrophysics, or similar field from an accredited institution. Postdoc experience is a plus. Remote Working: This position is not available for remote work. Candidates are required to follow MSFC/EV44 in office work policy which requires employees to be in the office 5 days per week. Normal workdays are from 7:30 a.m. to 4:30 p.m., Monday through Friday. Regular attendance is a necessity and adequate arrangements for delegating duties during absences are required. US Citizenship: Proof of US Citizenship is required Travel: The potential exists to travel to other US government facilities and to conferences. Applicants should apply to the posting at Home | USRA Careers and include a letter of interest, resume, or curriculum vitae. Additional information on USRA can be found at Home | USRA USRA is an Equal Opportunity Employer: Minorities / Females / Protected Veterans / Disabled / Sexual Orientation / Gender Identity.

Requisition Id 15623 We are seeking a Research Scientist who will support a growing portfolio of research in large vision-language models, privacy preserving federated learning techniques, and knowledge distillation to target resource-constrained training and inference for resource constrained environments. You are expected to immediately contribute to federated learning and privacy preserving research initiatives, with emphasis on distributed energy resource management. Under the guidance of senior research scientists, the selected applicant will take roles on multidisciplinary teams supporting new research and engineering using ORNL's Frontier exascale supercomputer for its dense GPU-based HPC resources to train, deploy models and create large-scale production datasets for high-impact sponsor missions. You will be expected to handle sponsor requirements, and develop rapid prototypes to demonstrate new innovations. This position resides in the GeoAI Research Group in the Geographic Data Science Section, Geospatial Science and Human Security (GSHS) Division, National Security Sciences Directorate, at ORNL. Major Duties/Responsibilities: * Contribute to the development of workflows that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. * Provide coding support to implement privacy preserving federated learning techniques. * Support the design of knowledge distillation methods for resource-constrained training and inference for edge computing scenarios. * Publish research results in journal articles, conference papers, and technical manuals. * Lead by example to ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures. * Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL. * Work in a highly collaborative environment with data scientists, machine learning scientists, remote sensing scientists, HPC engineers, Energy grid subject matter experts, and geographers to deliver research and development prototypes. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * PhD in electrical and computer engineering, computer science, applied mathematics or related area and two years of applied experience (professional or academic lab setting). * Experience in developing federared learning, differential privacy frameworks, pretraining large vision foundation models. * Strong research profile and be able to conduct independent research. * Strong written and oral communication skills. * The ability to work in a dynamic, team environment. Preferred Qualifications: * Experience working with spatio-temporal datasets, remote sensing imagery, simulations, and time series analysis. * Experience in the development, evaluation of energy grid data, natural language processing applications. * Experience finetuning Large Language Models. * Hands-on experience with training machine learning models on high performance computing infrastructures leveraging GPU accelerators. * Experience in the development of project research proposals. * Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Visa sponsorship: Visa sponsorship is available for this position. Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Hybrid Eligible: This position is located in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

Requisition Id 15635 We are seeking a Research Scientist who will support a growing portfolio of research in cutting edge physics-based machine learning, geophysical modeling, spatial and spatiotemporal methods. The candidate is expected to immediately contribute to uncertainty estimation in geophysical models and broader national security research initiatives. This position offers an exciting opportunity to leverage modern concepts of physics-informed machine learning, explainable AI, and for geophysical applications related to earth system modeling, geohazards, including but not limited to earthquakes, landslides, and volcanic activity. In addition to model development, research activities include the design of evaluation protocols that capture domain knowledge and sponsor application requirements. Under the guidance of senior research scientists, the selected applicant will take roles on multidisciplinary teams supporting new research and engineering using ORNL's Frontier exascale supercomputer for its dense GPU-based HPC resources to deploy models and create large-scale production datasets for high-impact sponsor missions. The candidate will be expected to handle sponsor requirements and develop rapid prototypes to demonstrate new innovations. This position resides in the GeoAI Research Group in the Geographic Data Science Section, Geospatial Science and Human Security (GSHS) Division, National Security Sciences Directorate, at ORNL. Major Duties/Responsibilities: * Develop and implement physics-informed machine learning models for geophysical modeling, earth system modeling and geohazard prediction and assessment. * Design algorithms integrating geophysical principles with explainable and interpretable AI techniques to enhance model interpretability and uncertainty quantification. * Contribute to building visualizations and interfaces to communicate AI model decisions and uncertainties to diverse stakeholders. * Contribute to research proposals, publish in high-impact journals, and present at international conferences. * Collaborate with interdisciplinary teams to advance interpretable AI applications in geophysical and geoscience research. * Ensure compliance with ORNL policies, standards, and procedures in all research activities. Basic Qualifications: * PhD in Geophysics, Earth Sciences, Computer Science, or a related field with a focus on computational geosciences. * Two years of applied experience (professional or academic lab setting). * Strong background in machine learning, artificial intelligence, and explainable AI techniques. * Proficiency in scientific programming with experience in implementing interpretable ML models in Python and TensorFlow/PyTorch. * Experience with geophysical data analysis, interpretation, and the application of AI/ML in geosciences and geophysics. * Excellent written and verbal communication skills, with ability to explain complex AI concepts to diverse audiences. Preferred Qualifications: * Expertise in one or more geohazard-related fields (e.g., seismology, volcanology, landslide dynamics, earthquakes). * Experience with physics-informed neural networks or other physics-based machine learning approaches. * Knowledge of uncertainty quantification and interpretation in geophysical modeling. * Familiarity with explainable AI techniques such as SHAP, LIME, or attention mechanisms in the context of scientific applications. * Experience in developing interactive dashboards or visualizations for AI model interpretation. * Track record of peer-reviewed publications in explainable AI, geophysics, and/or machine learning. * Demonstrated ability to work in interdisciplinary teams and communicate AI insights to non-AI experts. Special Requirements: * Q or L clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. * Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. Benefits at ORNL: ORNL offers competitive pay and benefits programs to attract and retain dedicated people! The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

Requisition Id 15588 The Materials Science and Technology Division of the Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL) invites applications for a research staff position in quantum information science. We seek outstanding candidates with expertise in quantum information science and condensed matter physics. Candidates that seek to build a research program focused on quantum state transduction are strongly preferred. The ideal candidate is expected to develop and lead research efforts focused on the transduction of quantum information between light, spins, and microwave circuits. The successful candidate will join the multidisciplinary Quantum Heterostructures Group dedicated to developing and characterizing novel quantum devices in collaboration with theory and experimental quantum information science efforts in research programs across the DOE Office of Science. Planned research activities will be supported with internal ORNL investments and the Department of Energy (DOE) funded Basic Energy Sciences (BES) Materials Sciences and Engineering (MSE) Program. Major Duties/Responsibilities: * Develop new approaches to quantum state transduction. * Develop hybrid quantum device architectures. * Partner with existing quantum computing and networking efforts at the Laboratory to enable heterogeneous quantum hardware. * Present and report research results and publish scientific results in peer-reviewed journals in a timely fashion. * Ensure compliance with environment, safety, health and quality program requirements. * Maintain strong dedication to the implementation and perpetuation of values and ethics. * Work with others to maintain a high level of scientific productivity. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * A PhD in quantum science, physics, materials science, or a closely related science discipline. * A minimum of two years of experience in a related field. * A strong record of productive and creative research proven by publications in peer-reviewed journals and presentations at major conferences. Preferred Qualifications: * Experience leading interdisciplinary research projects. * Experience working with DOE sponsors. * Excellent written and oral communication skills and the ability to communicate to an international scientific audience. * Ability to work with a measure of autonomy in a team environment. Letters of Recommendation: Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to *******************. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $117,900 - $135,060 Annually This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Job Description We have an opening for an Accelerator Physics Postdoctoral Researcher in the National Security Engineering Division (NSED) within the Engineering Directorate. You will work on modeling and performing experiments for accelerators, plasmas, pulsed power, and other technically challenging problems. You will assist in the creation of innovative solutions for multiple programs at LLNL and contribute to the research and development of next-generation platforms. This position is in Accelerator Operations Group in the National Security Engineering Division (NSED), within the Engineering Directorate. This group is engaged in several projects, including Advanced Sources and Detectors (ASD) Scorpius-the National Nuclear Security Administration's (NNSA) new flagship radiography machine currently under construction-solid-state bipolar pulsed power, plasma pinches, and multiphysics code development. The team is integrated across the laboratory, providing expert input on high-impact facilities such as the National Ignition Facility (NIF) and the Flash X-Ray (FXR) facility, as well as similar facilities at other laboratories. By leveraging new technologies and pioneering innovative techniques that promise to be disruptive in the field, the group is seeking a post-doctoral physicist or engineer to complement and enhance its current capabilities. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home 1 to 2 days per week. In this role, you will Conduct fundamental research, design, implementation, and analysis in one or more of the following areas: pulsed power, accelerator physics, accelerator diagnostics and experiments, z-pinch plasma diagnostics and experiments, simulations of experiments. Organize, analyze, and present data from research. Contribute to the conception, design, and execution of research to address scientific and technical problems. Conduct independent research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. Collaborate with others in a multidisciplinary team environment to accomplish research goals. Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings. Travel as needed to coordinate with research collaborators and visit field sites. Perform other duties as assigned. Qualifications Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. PhD in Electrical Engineering, Applied Physics, Physics, or related technical field. Experience with particle-in-cell codes or multi-physics codes. Experience with one or more of the following areas: pulsed power, accelerator, z-pinch plasma experiments, diagnostics development, computational physics, or simulations. Experience developing innovative solutions to research problems with design, techniques, and execution. Ability to perform and undertake independent and original research and communicate findings through publication of journal articles and presentations at seminars and scientific meetings. Proficient verbal and written communication skills and demonstrated leadership skills to collaborate effectively in a multidisciplinary team environment. Ability to travel up to 25%. Qualifications We Desire Familiarity with accelerator beam dynamics. Pulsed-power drivers and networks. Additional Information #LI-Hybrid Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit ***************************************** Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Rate $131,172 Annually This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Job Description We have multiple openings for Design Physics - Postdoctoral Researchers. We invite PhD graduates from a variety of STEM fields (including, but not limited to, the various physics disciplines, engineering, experimental science, computational physics, planetary science, chemistry, or material science) to apply for one of our Postdoctoral Research Fellowships. We will work with successful candidates to tailor a postdoctoral project and select a mentor to support each individual's development. This opportunity is intended for individuals who have finished their PhD and wish to further develop their skills, knowledge, and/or abilities to better position themselves for a future staff position within the Design Physics Division or elsewhere at LLNL. Our postdoc positions are atypical - we select highly qualified candidates based on demonstrated research aptitude and then customize the project assignment to fit their abilities and interests as well as our needs. Recent projects have involved the physics of Inertial Confinement Fusion (ICF), turbulence and fluid instabilities, atomistic and continuum models of transport, planetary defense, diagnostic development, computational solid and fluid dynamics, chemical physics, particle and radiation transport algorithm development, and uncertainty quantification. This position is in the Design Physics Division within the Strategic Deterrence (SD) Directorate. This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options, may vary based on the needs of the team and the organization. You will Develop new tools, algorithms, and/or design new experiments to further our scientific understanding. Conduct research on the use of massively parallel computer platforms to solve scientific challenges. Conduct research in a topical area using theory, experiment, and/or simulation tools. Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. Publish research results in peer-reviewed scientific or technical journals, and present results at external conferences, seminars and/or technical meetings. Perform other duties as assigned. Qualifications Ability to obtain and maintain a U.S. DOE Q-level security which requires U.S. citizenship. PhD in a related physical science, engineering or applied mathematics discipline. Experience in high-quality research in a relevant field, demonstrating both detailed understanding and a broad perspective. Demonstrated significant accomplishments in experimental science, numerical simulations and modeling, and/or the application of theoretical techniques. Experience developing innovative solutions to scientific and technical problems. Demonstrated proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information Please include a personalized cover letter with your application, highlighting your qualifications and why you're interested in this position. Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit ***************************************** Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. Pre-Placement Medical Exam A job related pre-placement medical examination may be required. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed. In fact, Radiance is consistently named by the Dayton Business Journal as one of the Best Places to Work in Dayton! The Scientist will work side-by-side with clients, scientists, and engineers to: Operate, improve, optimize, and deploy scientific image processing and geospatial algorithms. Utilize advanced processing pipelines and other tools to analyze and exploit remotely sensed data to produce and disseminate products. Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation. Provide technical leadership to teams performing exploitation and process development. Create and deliver technical briefings and reports. Required Skills and Qualifications: Bachelor's Degree in STEM field (Electrical Engineering, Physics, Computer Engineering, Remote Sensing, or another relevant technical field) Understanding of signal and image processing techniques Active TS/SCI clearance Desired Skills and Qualifications: Master's or PhD degree in STEM field (Electrical Engineering, Physics, Computer Engineering, Remote Sensing, or another relevant technical field) Experience with image processing and exploitation as well as experience with docker and container deployment. Ability to develop processing chains that combine multiple programs and algorithms into efficient automation schemes. Ability to code/script in Python or C/C++. EOE/Minorities/Females/Vet/Disabled

Advanced HF Radar Development Scientist SME Clearance Required: TS/SCI (active) Company: JMark Services Inc. Inc. At JMark Services Inc., we don't just support the mission-we elevate it. As a premier provider of strategic consulting, technical innovation, and defense-focused solutions, we stand at the intersection of science, security, and national interest. Our elite teams partner directly with the Department of Defense and Intelligence Community to tackle the nation's most complex challenges with precision, discretion, and vision. When the stakes are high, JMark is trusted to deliver. Position Title: Advanced HF Radar Development Scientist SME Job Description: This is more than a role-it's a chance to lead breakthroughs that shape the future of national defense. We're seeking a Principal Engineer/Scientist who thrives at the cutting edge of discovery and innovation. In this role, you will spearhead high-level, technically advanced, and often research-driven programs critical to U.S. security priorities. You'll be the architect of transformative solutions, integrating vast streams of data, theory, and emerging technology into powerful outcomes. As a senior thought leader, you will drive scientific and engineering initiatives, advise key decision-makers, and mentor the next generation of technical experts-all while operating in a highly dynamic and mission-critical environment. What You'll Do: Lead sophisticated R&D efforts from concept through implementation on mission-priority programs. Design, develop, and integrate novel technical solutions across multidisciplinary domains. Serve as a trusted consultant on complex challenges, synthesizing high-level theoretical and practical knowledge. Author and present high-impact reports, technical briefings, white papers, and proposals to senior government stakeholders. Provide strategic direction and mentorship to project teams, ensuring technical excellence and operational relevance. Qualifications: Ph.D. in Engineering, Science, Mathematics, or a closely related field. Minimum 7 years of progressive experience in research, engineering, or applied science roles. Demonstrated ability to lead complex technical initiatives and produce groundbreaking results. Exceptional written and verbal communication skills, with a track record of persuasive technical storytelling. Active TS/SCI clearance required. develop algorithms and recommend enhancements to existing algorithms. Ability to develop advanced HF Processing, Exploitation and Dissemination (PED) techniques to characterize targets; and develop algorithms that utilize Known Reference Points (KRPs) to improve geolocation accuracy. Why JMark? ✨ Operate on the front lines of innovation in support of national defense. ✨ Collaborate with elite scientists, engineers, and mission strategists. ✨ Thrive in a high-impact environment with real-world consequences. ✨ Competitive salary, top-tier benefits, and career-defining projects. Your next mission starts here. Apply now and join JMark Services at Wright-Patterson AFB-where intellect meets impact.

Advanced HF Radar Development Scientist Clearance Required: TS/SCI (active) Inc. At JMark Services Inc., we don't just adapt to the future-we engineer it. As a trusted partner to the Department of Defense and Intelligence Community, JMark leads from the front, providing elite technical talent, mission-focused innovation, and visionary leadership on the nation's most critical programs. From R&D to operational integration, we fuse science, strategy, and national security into every solution we deliver. If you're looking for work that matters-this is it. Position Title: Advanced HF Radar Development Scientist This is a leadership opportunity for a rare breed of thinker and doer-someone who commands deep technical insight, drives innovation at scale, and leads with clarity in high-stakes environments. As Advanced HF Radar Development Scientist III you will define and direct the future of advanced technologies at Wright-Patt AFB. You will serve as the senior technical authority on mission-critical programs, shaping breakthrough research and high-impact solutions that influence national defense strategies. In this executive-level role, your voice will shape not just current capabilities-but the very trajectory of what's possible. Key Responsibilities: Apply and evolve advanced scientific theories, engineering principles, and emerging technologies in support of cutting-edge military and intelligence initiatives. Serve as the technical spokesperson and visionary for JMark's work at WPAFB, influencing future research directions and programmatic priorities. Lead the design, execution, and refinement of highly advanced R&D projects with national security implications. Prepare and deliver high-level reports, proposals, and briefings for senior stakeholders across DoD and IC communities. Oversee and mentor technical personnel across large-scale programs, fostering a culture of excellence, innovation, and impact. Required Qualifications: Master's degree in Engineering, Science, Mathematics, or a closely related field (Ph.D. strongly preferred). Minimum of 15 years of progressive engineering or scientific experience. Proven leadership in managing large, complex technical programs or research efforts. Expert communicator with the ability to distill complex concepts into actionable insights. Active TS/SCI clearance is required. Must be able to develop algorithms and recommend enhancements to existing algorithms. Ability to develop advanced HF Processing, Exploitation and Dissemination (PED) techniques to characterize targets; and develop algorithms that utilize Known Reference Points (KRPs) to improve geolocation accuracy. Why JMark? ✨ Become a cornerstone of high-level innovation for national defense. ✨ Collaborate with top-tier engineers, scientists, and mission specialists. ✨ Lead programs that matter-with global impact and strategic importance. ✨ Competitive compensation, elite benefits, and unmatched purpose-driven work. Your expertise is needed where it counts. Apply today and shape the future with JMark Services at Wright-Patterson AFB.

The role - what you'll do Barr is seeking an environmental scientist to join our Bismarck, North Dakota, team. In this hybrid role, you will support our Water Resources group with challenging and fast-paced work on environmental impact assessment, permitting, and compliance projects. A successful person in this role will have strong interpersonal, oral, and written communication skills. They possess exceptional organization skills with the ability to work in a fast-paced environment and have a flexible working style. They are also willing to occasionally modify their schedule to meet deadlines and/or client needs. Your impact - key responsibilities Field support: conducting wetland delineations, inventories, functional assessments, protected species assessments, botanical inventories, and other ecological field investigations. Permitting and regulatory support: conducting and writing environmental impact assessments and related documentation, interpreting regulatory and permitting processes, communicating with regulatory agencies and client contacts, and developing and reviewing environmental permit applications. Environmental impact and reporting: performing desktop and field-based threatened and endangered species reviews and other biological and/or natural resources inventories (i.e., raptor surveys, migratory bird surveys, noxious weed inventories, etc.). About the opportunity Compensation: anticipated range of $75,000-95,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as Exempt (salaried) under the Fair Labor Standards Act. Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Bismarck, North Dakota, office. Travel requirement: daily travel to field and client sites within the state of North Dakota during peak season. Up to 10 percent domestic field/on-site work involving short-term, out-of-town assignments. Work environment: some fieldwork locations include difficult terrain typical of backcountry (e.g., dense vegetation, fallen timber, poor footing soils, streams), roadway, and construction sites. Work may also require entering and working in facilities that include limited accessibility, moving machinery, and other conditions typical of mining or other industrial facilities. Safety training will be provided. Physical requirements: walking up to 10 miles per day in extreme temperatures of up to 90+ degrees Fahrenheit. About you - required core competencies Education: Bachelor's degree in environmental science/studies/policy, ecology, natural resources management, biology, botany, or a related natural resources field. Experience: 8+ years of relevant experience related to the job responsibilities described above. Licenses/certifications: must possess a valid driver's license with an acceptable driving record. Travel: ability and willingness to travel to site and client locations. Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future. Helpful additional experience (not required) Experience with state and federal environmental review, regulatory interpretation, and permitting processes (including EAW, EA, and EIS) in the Midwest. Professional Wetland Scientist Certification. Wetland delineation, wetland functional assessment, wetland restoration design and construction, and restoration project monitoring, contracting, and management experience. Familiarity with CAD or GIS tools (ArcGIS, Collector, etc.). #LI-Hybrid Benefits - what we offer We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career. Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status. About us - why choose Barr At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service. As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success. To learn more about Barr's culture and values, visit: **************************************** Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking a junior-level Ecologist/Environmental Scientist to join our Nevada Enviro Socio Permitting team. The successful candidate will support the development of desktop reviews and may lead field data collection for wetland/waterbody delineations, endangered species habitat assessments, and environmental assessments and/or preparation of reports to document field data collection. The successful candidate will also provide environmental inspection and compliance support for construction projects within the region. This role will primarily support Arcadis' planning and permitting team working with linear infrastructure and renewable energy clients in Nevada. The position will require a candidate to work both collaboratively with a team of resource specialists and have the capacity to balance varying priorities and tasks to work on multiple projects concurrently and meet deliverable deadlines. Arcadis offers a flexible working environment and follows a hybrid work structure. A successful candidate can expect to work remotely and from the office, as needed, based on demands of specific tasks and teams. As a Consultant with Arcadis, you'll soon discover you can make a difference in our company by collaborating with staff and contributing to an interesting array of projects. You will be a key member to drive innovation and build strong technical communities within the Enviro Socio Permitting practice. This is a great opportunity to work with a dynamic team and gain experience in a wide variety of environmental projects for diverse market sectors. Your career growth will only be limited by your skills and your passion for success! You will also work with existing staff to support the growth of Environmental Permitting, Site Planning, Wetland, and Endangered Species Services. Role accountabilities: As a junior-level Ecologist/Environmental Scientist, you will apply your technical knowledge to work with client teams to provide high quality deliverables to support planning and permitting for major utility and key Arcadis clients. You will be an important member of the Enviro Socio Permitting team interacting with a variety of biologists/ecologist, senior technical experts, project managers and client representatives as part of an interdisciplinary team. Primary functions will include: * Under supervision of senior- staff, support a regionally-focused multi-disciplinary team of scientists (i.e., biologists, cultural resources specialists, etc.) provide compliance with federal, state and local environmental regulations * Oversee installation, maintenance, and removal of environmental mitigation measures including erosion and sediment controls, spill prevention and containment measures, etc. * Manage desktop environmental assessments using current assessment technologies and methods to identify potential permitting requirements and support development of permitting strategy to provide guidance to internal teams and clients. * Regularly demonstrate strong technical writing and communications skills to support client needs. This will include the development of technical reports, work plans, memoranda, and other environmental documents to support permitting. It will also include strong verbal communication skills including the effectively communicate between internal and client team members and the ability to provide clear, concise direction to third party contractors. This role will primarily be both office and field based, you will need to conduct field assessments related to ecological aspects of projects. This will require a working knowledge of GPS systems and the ability to walk and conduct fieldwork for long hours, as well as carry supplies weighing up to 30 pounds. This role will require flexibility for both office and field-based work with field work up to 50% of the time. Field work is typically local projects with the potential for multiple week assignments within Northern Nevada. Qualifications & Experience: First and foremost, do you share our passion for sustainable management of natural resources? Do you want to be part of a growing planning and permitting practice to support clients in the western US and specifically Nevada? If you are motivated and ready to grow your career supporting natural resources management, planning and permitting, come join us! Required Qualifications: * Bachelor's degree in biology, ecology, environmental or land use planning or other natural resource related field * Two years of experience in the environmental field * Relevant regional experience in the western United States * Experience with evaluating project compliance with state and federal laws and environmental and regulatory processes - federal, state and local regulators such as PUC, PSC, FERC, BLM, USFS, USFWS, USACE, as well as experience with CEQA and NEPA * Experience working with interdisciplinary teams to develop comprehensive reports/permit applications and particularly experience with linear projects (e.g., utility projects, pipeline projects, etc.). Preferred Qualifications: * Previous experience in managing environmental inspection projects for linear utility projects including overseeing contractor implementation of environmental conditions and mitigation measures as set forth in permits, plans and procedures. * State issued Erosion and Sediment control certification if applicable Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $49,390 - $79,023 per year. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-TB1 #EarlyCareersANA #Resilience-ANA #Environment-ANA #LI-HYBRID #SWE #WEPAN #AWIS #INWES #BWEC #NSBE #SHPE #AISES #oSTEM #SAME #SASE

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking a junior-level Ecologist/Environmental Scientist to join our Nevada Enviro Socio Permitting team. The successful candidate will support the development of desktop reviews and may lead field data collection for wetland/waterbody delineations, endangered species habitat assessments, and environmental assessments and/or preparation of reports to document field data collection. The successful candidate will also provide environmental inspection and compliance support for construction projects within the region. This role will primarily support Arcadis' planning and permitting team working with linear infrastructure and renewable energy clients in Nevada. The position will require a candidate to work both collaboratively with a team of resource specialists and have the capacity to balance varying priorities and tasks to work on multiple projects concurrently and meet deliverable deadlines. Arcadis offers a flexible working environment and follows a hybrid work structure. A successful candidate can expect to work remotely and from the office, as needed, based on demands of specific tasks and teams. As a Consultant with Arcadis, you'll soon discover you can make a difference in our company by collaborating with staff and contributing to an interesting array of projects. You will be a key member to drive innovation and build strong technical communities within the Enviro Socio Permitting practice. This is a great opportunity to work with a dynamic team and gain experience in a wide variety of environmental projects for diverse market sectors. Your career growth will only be limited by your skills and your passion for success! You will also work with existing staff to support the growth of Environmental Permitting, Site Planning, Wetland, and Endangered Species Services. Role accountabilities: As a junior-level Ecologist/Environmental Scientist, you will apply your technical knowledge to work with client teams to provide high quality deliverables to support planning and permitting for major utility and key Arcadis clients. You will be an important member of the Enviro Socio Permitting team interacting with a variety of biologists/ecologist, senior technical experts, project managers and client representatives as part of an interdisciplinary team. Primary functions will include: Under supervision of senior- staff, support a regionally-focused multi-disciplinary team of scientists (i.e., biologists, cultural resources specialists, etc.) provide compliance with federal, state and local environmental regulations Oversee installation, maintenance, and removal of environmental mitigation measures including erosion and sediment controls, spill prevention and containment measures, etc. Manage desktop environmental assessments using current assessment technologies and methods to identify potential permitting requirements and support development of permitting strategy to provide guidance to internal teams and clients. Regularly demonstrate strong technical writing and communications skills to support client needs. This will include the development of technical reports, work plans, memoranda, and other environmental documents to support permitting. It will also include strong verbal communication skills including the effectively communicate between internal and client team members and the ability to provide clear, concise direction to third party contractors. This role will primarily be both office and field based, you will need to conduct field assessments related to ecological aspects of projects. This will require a working knowledge of GPS systems and the ability to walk and conduct fieldwork for long hours, as well as carry supplies weighing up to 30 pounds. This role will require flexibility for both office and field-based work with field work up to 50% of the time. Field work is typically local projects with the potential for multiple week assignments within Northern Nevada. Qualifications & Experience: First and foremost, do you share our passion for sustainable management of natural resources? Do you want to be part of a growing planning and permitting practice to support clients in the western US and specifically Nevada? If you are motivated and ready to grow your career supporting natural resources management, planning and permitting, come join us! Required Qualifications: Bachelor's degree in biology, ecology, environmental or land use planning or other natural resource related field Two years of experience in the environmental field Relevant regional experience in the western United States Experience with evaluating project compliance with state and federal laws and environmental and regulatory processes - federal, state and local regulators such as PUC, PSC, FERC, BLM, USFS, USFWS, USACE, as well as experience with CEQA and NEPA Experience working with interdisciplinary teams to develop comprehensive reports/permit applications and particularly experience with linear projects (e.g., utility projects, pipeline projects, etc.). Preferred Qualifications: Previous experience in managing environmental inspection projects for linear utility projects including overseeing contractor implementation of environmental conditions and mitigation measures as set forth in permits, plans and procedures. State issued Erosion and Sediment control certification if applicable Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $49,390 - $79,023 per year. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-TB1 #EarlyCareersANA #Resilience-ANA #Environment-ANA #LI-HYBRID #SWE #WEPAN #AWIS #INWES #BWEC #NSBE #SHPE #AISES #oSTEM #SAME #SASE