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Job Description About us Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ * You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. * You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. * You will master the whole pipeline, from training models to putting them into production and monitoring their performance. * You will work on new features, new applications, and some 0→1 solutions. * You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. * You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ * You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. * You have a deep experience with diffusion models, for image creation or edition. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. * You are always the most pragmatic person in the room. * You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. * You have experience working on products requiring complex architectures. * You have a strong sense of ownership. * You take initiative and you are at ease to make product & technical decisions. * You have worked as part of a talented team and have experience in a fast-growing startup. * You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. * You are fluent in English (French is not required!). ✨ Hiring Process ✨ * Screening call with our Head of AI * Home technical assignment, reviewed with the team * Culture fit interview and meet the team! * Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Job Description Job Duties • Employ some combination (2 or more) of the following skill areas:, • Foundations: (Mathematical, Computational, Statistical), • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility), • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations), • Devise strategies for extracting meaning and value from large datasets, • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge, • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings, • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data, • Effectively communicate complex technical information to non-technical audiences, • Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: • US Citizens Only, • Active TS/SCI Clearance and Polygraph required, • Information Assurance Certification may be required, • Minimum of three (3) years of relevant experience and a Bachelor’s degree or five (5) years of relevant experience and an Associate’s degree required., • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university, • Relevant experience must be two of more of the following:, • Designing/implementing machine learning, • Data science, • Advanced analytical algorithms, • Programming (skill in at least one high-level language (e.g., Python)), • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), • Data management (e.g., data cleaning and transformation), • Data mining, • Data modeling and assessment, • Artificial intelligence Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR trbonJjxIq

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: • Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development., • Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives., • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents., • Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models., • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models., • Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment., • Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications., • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities., • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment., • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred., • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision., • Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)., • Experience with multimodal data processing (e.g., combining text, image, and 3D data)., • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy., • Strong background in probability, statistics, and optimization techniques relevant to generative modeling., • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)., • Familiar with software engineering principles, including version control, reproducibility, and continuous integration., • Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job DescriptionAt Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).Required Qualifications • TS/SCI with agency appropriate poly, • Bachelor’s Degree with 3 years of relevant experience, • Associates degree with 5 years of relevant experience, • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count., • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/universityRelevant Experience, • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.The Benefits Package, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection ServicesCompany Environment & Perks, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is adding a Data Scientist II to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: • Use data science and machine learning principles to develop effective predictive models, • Write software to prepare, clean, and sample data for use in developing predictive models, • Use cloud resources (e.g., Amazon Web Services) to prepare and process data, • Query and extract data from databases (Snowflake), • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy, • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm, • Solve challenging, uncharted problems, • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred, • M.S. or Ph.D. in a related field highly desired, • 3+ years of experience with machine learning, statistical modeling, and optimization techniques, • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred), • Proficient in linear algebra and statistics, • Familiar with scientific software principals, e.g. versioning systems, reproducibility, • Experience in the manufacturing industry is desired, • Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job Description Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to the next level? • Tired of being treated like a company drone?, • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?, • We will immerse you in the latest technologies., • We will develop and support your own personalized training program to continue your individual growth. If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: • Long term job security, • Competitive salaries & bonus opportunities, • Challenging work you are passionate about GliaCell is seeking a Senior Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: • Possess an active or rein-statable TS/SCI with Polygraph security clearance, • U.S. Citizenship., • 10+ years of experience and a Bachelor's Degree in Computer Science or a related discipline., • Possess software development skills, • Work well independently as well as on a team., • Building and maintaining custom data analytics to automate and scale signals analysis, • Experience with adversary defeat, mission management, metrics, and data visualization, • Experience compiling various data sources via computer scripting, statistical analysis, data modeling, etc. Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: • Medical, Dental, and Vision Coverage for Employee and Dependents, • Up to 25 Days of Paid Time Off, • Up to 40 hours of PTO Carryover, • 11 Federal Government Holidays, • Work From Home Opportunities, • 401K Company Contribution, Fully Vested Day 1, • Discretionary, Certification, and Sign-On Bonus Potential, • Employee Referral Bonus Program, • Annual Professional Development, • 100% Premium Covered for Life & Disability Insurances, • Additional Voluntary Life Insurance Coverage Available, • Employee Assistance Program, • Travel Protection Program, • Financial Planning Assistance, • Bereavement and Jury Duty Leave, • Monthly Team and Family Events, • Technology Budget, • Global Entry To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR 7NnB2Ngpje

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications., • Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience., • R&D experience in medical image processing, including classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration, • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in C++ and Python., • Experience of developing and applying graph processing or GNN(graph neural network), • Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus, • Prior experience with cardiac motion modelling or tracking is a plus, • 5+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. NY: $270,000 - $310,000 CO: $265,000 - $305,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Senior Data Scientist, Geoscience & Engineering The Opportunity The Senior Data Scientist is a key contributor to SM Energy’s mission of applying advanced analytics, machine learning, and data-driven solutions to complex business, engineering, and geoscience challenges. This role identifies high-value opportunities, determines appropriate datasets and algorithms, uncovers patterns, and delivers solutions that improve insight, decision-making, workflows, and automation. This is a high-visibility role at the center of a transformative analytics initiative that will shape the company’s future direction. You will have the opportunity to work on projects of strategic significance, with the potential to influence decisions at the highest levels of the organization. We are seeking versatile individuals who thrive in exploratory, boundary-pushing work and who are motivated by the challenge—and reward—of tackling open-ended problems that can drive lasting impact. What You'll Do (The Nitty-Gritty) • Own the Lifecycle: Drive data science projects from initial concept and data exploration through to enterprise-scale deployment and long-term monitoring., • Uncover Hidden Value: Wrangle and mine large-scale engineering and geologic datasets, fusing disparate sources to identify critical insights, correlations, and patterns., • Build Predictive Engines: Design, develop, and evaluate innovative machine learning and statistical models to solve our most complex business problems, leveraging everything from traditional statistics to deep learning., • Deploy to Production: Architect and implement robust model deployment solutions for batch, real-time, and edge-computing use cases, ensuring your work creates tangible business value., • Collaborate to Innovate: Work shoulder-to-shoulder with data engineers, DevOps engineers, and front-end developers to build the full-stack infrastructure needed to support your solutions., • An Innovator: You constantly challenge the status quo, introduce new ways of looking at problems, and are passionate about finding a better way., • A Pragmatic Problem-Solver: You thrive in ambiguity and are comfortable making decisions and moving forward without the total picture. You handle complexity with a calm, composed, and constructive approach., • An Owner: You take initiative, manage multiple projects with autonomy, and proactively eliminate roadblocks to meet deadlines and deliver results., • A Collaborator: You listen effectively, build strong relationships, and can clearly articulate complex technical concepts to both technical and non-technical stakeholders., • Languages & Libraries: Expert-level Python and its data ecosystem (Pandas, NumPy, Dask) and ML libraries (Scikit-learn, PyCaret, TensorFlow, PyTorch)., • Data & Databases: Proficient in SQL for complex data analysis. Experience with cloud data warehouses (Snowflake) and data virtualization (Denodo) is a strong plus., • Tools & Platforms:, • Experience with Jupyter Notebooks, IDEs (PyCharm/VS Code), and version control (Git)., • Hands-on experience in a cloud environment (Azure preferred)., • Proficiency with MLOps principles and tools., • Visualization: Experience creating compelling data visualizations and interactive applications (e.g., Spotfire, Power BI, Plotly, Streamlit, Dash)., • Core Concepts:, • Deep understanding of statistics, probability, and ML algorithms (Regression, Classification, Clustering, Neural Networks)., • Familiarity with Agile/Scrum methodologies., • Knowledge of Generative AI, LLMs, and data security best practices., • Typical Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Analytics, Engineering, Geology, Computer Science, or related field. Master’s degree preferred., • Typical Experience: Minimum of 6 years related experience

Job Description Job Duties • Employ some combination (2 or more) of the following skill areas:, • Foundations: (Mathematical, Computational, Statistical), • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility), • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations), • Devise strategies for extracting meaning and value from large datasets, • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge, • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings, • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data, • Effectively communicate complex technical information to non-technical audiences, • Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: • US Citizens Only, • Active TS/SCI Clearance and Polygraph required, • Information Assurance Certification may be required, • Minimum of ten (10) years of relevant experience and a Bachelor’s degree or twelve (12) years of relevant experience and an Associate’s degree required., • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university, • Relevant experience must be two of more of the following:, • Designing/implementing machine learning, • Data science, • Advanced analytical algorithms, • Programming (skill in at least one high-level language (e.g., Python)), • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), • Data management (e.g., data cleaning and transformation), • Data mining, • Data modeling and assessment, • Artificial intelligence Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR h2mSi4iG2v

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking an accomplished Principal Machine Learning Scientist to lead the development, validation, and deployment of advanced machine learning models that directly impact the diagnostic and prognostic care pathways for heart disease. In this senior-level role, you will provide technical leadership across multidisciplinary teams, help shape the company's ML roadmap, and guide high-stakes projects from ideation through regulatory approval and clinical integration. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. Responsibilities • Lead the design and development of state-of-the-art ML and deep learning models for complex, multi-modal medical imaging and clinical data across multiple projects, • Define technical and research strategies to achieve new business opportunities, and lead proposals to pursue new areas of science or technology in programs to meet the organization's long-term strategic goals., • Set the technical direction for core ML initiatives, balancing scientific rigor with clinical and business priorities. Evangelizes new technology within the company., • Drive innovation in data representation, model architecture, and learning paradigms to advance the field and improve clinical outcomes. Establish frameworks and processes that are used across teams., • Oversee and guide rigorous validation, benchmarking, and regulatory-aligned evaluation of ML algorithms., • Partner with scientific affairs, engineering, product, biostatistician, and regulatory teams to drive the end-to-end lifecycle of medical products to ensure successful delivery and impact. Rally others around a clear vision., • Provide support and guidance in all phases of the product development cycle to ensure delivery of high-quality products. Provide design and system optimization solutions to drive improved customer experience and satisfaction., • Mentor and guide other ML scientists and engineers, fostering a culture of technical excellence and continuous learning., • Lead collaborative research efforts with academic and medical partners; author high-impact publications and contribute to the company's intellectual property portfolio., • Ph.D. in Computer Science, Biomedical Engineering, Data Science, or a related technical field., • 8+ years of post Ph.D. or industry experience leading applied ML initiatives., • Demonstrated technical leadership in developing and deploying ML models in regulated or clinical domains. Recognized expert in machine learning and medical imaging., • Deep expertise in machine learning theory and practice, with a strong track record in 3D medical image analysis, including segmentation, reconstruction, registration, restoration, detection, and/or predictive analytics., • 12+ years of post Ph.D. or industry experience leading applied ML initiatives., • Hands-on expertise in advanced ML techniques such as vision transformers, self-supervised learning, continual/incremental learning, contrastive learning or physics-informed deep learning., • Experience with ML orchestration frameworks, such as Kubeflow, MLFlow, Ray, Metaflow, or Argo Workflow, • Strong domain knowledge in cardiac CT and coronary artery disease diagnostics. CO: $282,000 - $324,000 NY: $288,000 - $348,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level? • Tired of being treated like a company drone?, • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?, • We will immerse you in the latest technologies., • We will develop and support your own personalized training program to continue your individual growth. If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: • Long term job security, • Competitive salaries & bonus opportunities, • Challenging work you are passionate about GliaCell is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: • Possess an active or rein-statable TS/SCI with Polygraph security clearance, • U.S. Citizenship., • 3+ years of experience and a Bachelor's Degree in Computer Science or a related discipline., • Possess software development skills, • Work well independently as well as on a team., • Building and maintaining custom data analytics to automate and scale signals analysis, • Experience with adversary defeat, mission management, metrics, and data visualization, • Experience compiling various data sources via computer scripting, statistical analysis, data modeling, etc. Salary Range: The salary range for this full-time position is $50,000 to $120,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: • Medical, Dental, and Vision Coverage for Employee and Dependents, • Up to 25 Days of Paid Time Off, • Up to 40 hours of PTO Carryover, • 11 Federal Government Holidays, • Work From Home Opportunities, • 401K Company Contribution, Fully Vested Day 1, • Discretionary, Certification, and Sign-On Bonus Potential, • Employee Referral Bonus Program, • Annual Professional Development, • 100% Premium Covered for Life & Disability Insurances, • Additional Voluntary Life Insurance Coverage Available, • Employee Assistance Program, • Travel Protection Program, • Financial Planning Assistance, • Bereavement and Jury Duty Leave, • Monthly Team and Family Events, • Technology Budget, • Global Entry To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR RpmYT0mwPB

Job Description At Evolve, we're on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you're ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you. Why this role At Evolve, data science is the engine that transforms insights into outcomes across the vacation rental ecosystem. From reducing churn to enabling Dollars-at-Risk scoring and LTV forecasting, our models power retention, revenue growth, and customer trust. As a Lead Data Scientist, you will be responsible for leveraging data insights to impact strategy and tackling the most challenging prediction problems within the vacation rental industry. You will lead critical modeling initiatives (churn prediction, Dollars-at-Risk, anomaly detection, causal inference) while ensuring that LTV modeling continues evolving into a decision-ready tool. You will balance hands-on modeling with mentorship and leadership, ensuring prototypes become production systems and that the data science team delivers with rigor and consistency. This role is ideal for someone who thrives at the intersection of science, engineering, and business — designing advanced models, leading experiments, and mentoring teammates, all while partnering with Product, Commercial Strategy, and FP&A to turn models into measurable business outcomes. What You'll Do • Serve as a senior technical contributor and scientific lead for churn prediction, Dollars-at-Risk, anomaly detection, and LTV forecasting., • Ensure LTV projections are integrated with churn, anomaly, and income signals to deliver a business-ready forecasting tool., • Mentor and develop data scientists, providing code reviews, standards, and career guidance to expand impact beyond yourself., • Partner with Product teams to design and evaluate experiments, and owner lever interventions., • Lead causal inference analyses to better understand drivers of churn, retention, and LTV., • Oversee deployment and monitoring pipelines, ensuring reproducibility, calibration, and incident readiness., • Collaborate with Data Engineering/Infrastructure teams to maintain orchestration (GitLab CI/CD, Snowflake, AWS) and deliver production-ready ML systems., • Establish and enforce best practices for modeling, documentation, monitoring, and governance., • Effectively communicate complex findings to both technical and non-technical stakeholders., • Stay current on advances in ML/AI and bring forward innovative methods applicable to Evolve's business.What Makes You a Great Fit, • 7+ years of applied data science experience, including 3+ years leading ML projects in production., • Prior leadership and/or mentorship experience with a strong record of code reviews, reproducibility, and standards enforcement., • Proven track record of business impact from churn, retention, LTV, or anomaly detection models., • Expertise in survival analysis, causal inference, uplift modeling, anomaly detection, and calibration., • Strong programming experience with Python and SQL; experience with ML ops and orchestration (Airflow, GitLab CI/CD)., • Familiarity with cloud technologies, especially AWS (S3, EC2, SageMaker)., • Ability to partner cross-functionally with Product, Commercial Strategy, and FP&A., • Excellent communicator — able to translate complex analyses into actionable business decisions. Annual base salary range: $141K - $184K, depending on experience and qualifications. This role is also eligible for a variable annual bonus based on both company and individual performance, plus equity grants aligned to the Lead level. Location All Evolve team members must live in one of our approved locations by their first day. We can hire from anywhere in the U.S. except D.C. and Hawaii. Some positions may also have restrictions based on compensation in the following states: California, Maryland, New York, Pennsylvania, Rhode Island, and Washington. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both! If you're planning to move soon, please let us know, and we'll be happy to review your application again. California Applicant Privacy Policy | Evolve How we reward Evolvers We're intentional about offering benefits that empower every Evolver to thrive both professionally and personally because they're more than perks—they're investments in our customer-obsessed, high-performing team. We believe in treating others as they want to be treated, providing benefits that deliver real value, and challenging the status quo to meet the diverse needs of our team. Whether it's helping you take care of your health, plan for the future, or celebrate life's milestones, our offerings are designed to support you every step of the way. • Financial Wellness: Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match., • Family Support: 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage., • Health & Wellness: Comprehensive medical, dental, and vision plans (100% employer-paid for individual enrollment), 10 free mental health visits, and pet insurance., • Time to Recharge: Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday to celebrate what matters most to you., • Travel Perks: Annual Evolve travel credit after one year and discounts on stays at all Evolve properties., • Growth Opportunities: World-class onboarding programs, learning, and development resources to help you grow your impact. With our core values as our guide, every Evolver helps shape the company we want to work for and the people we want to be. We've cultivated a culture of collaboration, care, and responsibility that we can all be proud of, and we're excited to see what you'll bring as your authentic self. Still curious about who we are and what we do? Read more about our business and our culture at evolve.com. EEO At Evolve, we are committed to diversity and inclusion. As an equal opportunity employer, all qualified candidates will be considered for employment without regard to race, color, creed, religion, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, national origin, ancestry, citizenship status, military service or veteran status, physical or mental disability, or any other legally protected characteristic. Evolve participates in e-Verify for all positions. If you have a disability or special need that requires accommodation at any point in the hiring process, please let your recruiter know.

Job DescriptionAt Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).Required Qualifications • TS/SCI with agency appropriate poly, • Bachelor’s Degree with 10 years of relevant experience, • Associates degree with 12 years of relevant experience, • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count., • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.Relevant Experience, • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.The Benefits Package, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection ServicesCompany Environment & Perks, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

Job DescriptionXcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! We are seeking a Senior Nuclear Scientist to formulate and execute development roadmaps in the area of fusion nuclear science and fusion blanket R&D including simulations and experiments. You will Conduct and coordinate neutronics, materials radiation damage, thermal hydraulics, and tritium breeding and transport simulations to evaluate performance of breeding blanket components under fusion conditions. This is a rare opportunity to work on high-impact, cutting-edge technology that could redefine the future of energy. We are looking for our engineers to apply their technical expertise, problem solving skills, and dedication to quality to positively impact the future of energy! Responsibilities • Develop documentation describing analyses and calculations, and experimental plans and results., • Coordinate work with materials scientists for structural material selection and design of corrosion resistant, tritium compatible, low-activation components, and for testing and qualification of candidate materials., • Coordinate work with chamber interfaces such as chamber gas dynamics, flibe systems and fuel processing systems., • Coordinate the work with external partners working in aspects related to fusion blanket development., • Work closely with program manager and with the engineering team to include analyses and simulations and experimental R&D results into the chamber design effort., • Participate in and coordinate collaborative team meetings with team members to report status and develop actions to push joint progress., • Contributor to the development of supply chain and vendor strategy for the fusion chamber and blanket components., • Contributor to project risk management for all aspects related to chamber and blanket design, including identification of risk mitigations approaches.Qualifications, • PhD in Nuclear Science, Nuclear Engineering or Physics with a nuclear specialization., • Minimum of eight (8) years of relevant technical experience demonstrating proficiency in analyses, simulations, experimental R&D and technology development for complex systems under extreme thermal and radiation loads, such as fusion breeding blankets and nuclear reactor components., • Experience with nuclear analysis tools (such as MCNP), multi-physics software (such as COMSOL, ANSYS), reactor thermohydraulic codes (such as RELAP, MELCOR)., • Experience in experimental design and analysis with the explicit goal of driving to higher component and system technology readiness., • Knowledge of CAD software (Solidworks, Siemens NX, etc.) and finite element analysis (FEA)., • Demonstrated ability to successfully achieve project goals, interface effectively with team members and stakeholders., • Ability to work effectively in a multidisciplinary team of engineers, scientists, technical staff and others (domestic and international)., • Ability to clearly express and critique ideas., • Great communication and organizational skills., • Strong problem-solving skills, ability to approach new problems with creativity., • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Desired, • Experience in fusion chamber and blanket design and analysis., • Familiarity with design codes, standards, and regulatory requirements., • Experience in the commercial nuclear industry or fusion experimental facilities., • Knowledge of tritium handling systems, coolant loop design, or heat exchanger technologies., • Familiarity with additive manufacturing or advanced fabrication techniques., • Project management skills.

Job Description This job requires an active Top Secret / SCI clearance (with CI Polygraph eligibility). Please apply only if you currently hold an active Top Secret clearance with SCI eligibility. North Point Technology is hiring a Data Scientist SME to own, harden, and scale GEOINT AI/ML pipelines for NGA's Chinook modernization. You'll lead advanced modeling on multi-source imagery and sensor data, operationalize models in the cloud, and deliver mission-grade analytics that accelerate analysts and decision-makers. Locations: Gaithersburg, MD (primary); Alexandria, VA; Chantilly, VA; Aurora, CO; St. Louis, MO Clearance: Top Secret with ability to obtain SCI and Polygraph Responsibilities * Serve as technical SME for data science and geospatial analytics on high-impact GEOINT problems. * Design, develop, and validate ML/AI models for large, multi-source geospatial datasets (imagery, sensors, vector/raster). * Apply GEOINT/remote-sensing tradecraft to deliver scalable, mission-aligned analytics and decision support. * Recommend and integrate emerging tech (ML/AI, cloud, distributed compute) to improve workflows and outcomes. * Mentor and upskill data scientists/analysts on best practices and mission-relevant techniques. * Partner with GEOINT analysts, PMs, and engineers to shape requirements and technical approaches. * Conduct applied research in deep learning/reinforcement learning/advanced geospatial algorithms; transition to ops. * Deploy and monitor production models; ensure reliability, scalability, and actionable outputs. * Maintain thorough documentation of models, methods, and processes for reproducibility and knowledge transfer. Basic Qualifications * U.S. citizenship (per contract). * Bachelor's in Data Science, CS, Geospatial Science, or related field with 12–15 years' relevant experience; or Master's with 10–13 years; Doctorate welcome. * 10+ years professional data science experience, including 5+ years with GEOINT/geospatial analysis. * Proven track record building and deploying ML/AI models for geospatial/remote-sensing use cases. * Deep knowledge of geospatial tools and tradecraft (GIS/ArcGIS), remote sensing, and IC applications. * Expert Python and DS libraries (TensorFlow or PyTorch, Pandas, NumPy); strong big-data experience (Spark/Hadoop; AWS or Azure). * Proficient with geospatial formats and libs (GeoTIFF, Shapefile, WMS/WFS; GeoPandas, Rasterio, GDAL). * Advanced experience operationalizing AI/ML for GEOINT (e.g., object detection on satellite imagery, spatial clustering, predictive analytics). * Strong visualization/reporting (Tableau, Power BI). * Excellent leadership, communication, collaboration, and problem-solving skills. Preferred Qualifications * Advanced DS/ML certifications. * Familiarity with the Customer's mission and GEOINT challenges. * Expertise in deep learning for computer vision/image analysis in geospatial contexts. * Experience with cloud-native/distributed architectures for geospatial workloads. * Familiarity with satellite data analysis and remote-sensing models. * Publications in GEOINT, ML, or data science. North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today!

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and adaptive decision making systems that power core features of our custom manufacturing marketplace. Responsibilities: • Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies., • Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making., • Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth., • Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment., • Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets., • Education:, • Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred)., • Experience:, • 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics., • Technical Skills:, • Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred)., • Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift)., • Familiarity with scientific software principles (version control, reproducibility, testing)., • Experience with cloud computing (AWS preferred)., • Business & Communication:, • Ability to translate data insights into business recommendations., • Strong communication skills, comfortable presenting technical findings to executive stakeholders., • Preferred Qualifications:, • Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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