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Job DescriptionTechnical Lead – Safety of Dams (SOD Program) Labor Category: Technical Coordinator – Civil Engineer or Physical Scientist (Level III/IV) Location: Lakewood, CO (On-site required) Employment Type: Full-Time | U.S. Citizenship Required Security Clearance: Must be eligible for Level 6C Public Trust Compensation & Benefits • Salary Range: $125,000 – $150,000 annually, depending on experience, licensure, and qualifications, • Bonus Eligibility: Annual performance-based bonus may apply, • Benefits Package Includes:, • Medical, dental, and vision insurance, • 401(k) with employer contribution, • Paid time off and holidays, • Professional development support, • Tribal wellness initiativesThis salary range is provided in compliance with Colorado Equal Pay for Equal Work Act, North Dakota state guidelines, and the Turtle Mountain Band of Chippewa Indians' employment standards. Final compensation will reflect experience, location, and credentials. Position Summary Chippewa Sustainable Solutions (CSS) is hiring a Technical Lead – Safety of Dams (SOD Program) to oversee engineering inspections, risk assessments, and dam safety planning in support of the Bureau of Indian Affairs (BIA). This role is essential to ensuring the structural safety and operational readiness of tribal dams and water infrastructure across Indian Country. It combines field leadership with advanced technical review and coordination with tribal and federal stakeholders. Key Responsibilities • Conduct hydrologic, hydraulic, and geotechnical risk evaluations, • Lead dam condition assessments and recommend risk-reduction strategies, • Supervise field inspections, site investigations, and early warning system (EWS) planning, • Coordinate with tribal governments, BIA engineers, and emergency management agencies, • Ensure deliverables comply with federal dam safety standards (FEMA, FERC, DOI) Minimum Qualifications, • Bachelor’s degree in Civil Engineering, Hydrology, or Physical Science, • 10–15 years of experience in dam safety, structural engineering, or water infrastructure, • Professional Engineer (PE) license required (any U.S. jurisdiction), • Proficiency in dam safety modeling, risk-informed decision frameworks, and technical reporting, • Familiarity with SCADA systems, EWS design, and FEMA guidelines preferredAbout CSS & the Turtle Mountain Band of Chippewa Indians Chippewa Sustainable Solutions (CSS) is a tribally owned SBA 8(a) and Indian Economic Enterprise (IEE) of the Turtle Mountain Band of Chippewa Indians (TMBCI) — a sovereign Tribal Nation located in Belcourt, North Dakota. CSS delivers impactful services across infrastructure, environmental resilience, data systems, and energy innovation. We proudly support workforce development for Native professionals and offer training, mentorship, and career pathways in engineering, program management, and analytics — aligned with our mission to serve Indian Country through federal contracting excellence. Why Work With Us At CSS, we’re not just building infrastructure — we’re building capacity, sovereignty, and opportunity for generations to come. We offer: • Mission-driven work that improves tribal resilience and public safety, • A people-first culture rooted in tribal values and professional growth, • Inclusive leadership committed to mentorship, equity, and excellenceJoin a team where your work truly matters. Equal Opportunity Employer Statement CSS is an Equal Opportunity Employer. Employment decisions are made based on merit and capability without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. As a tribally owned business, CSS proudly supports Indian Preference in hiring, per 25 U.S.C. § 450e(b). We strongly encourage applications from citizens of the Turtle Mountain Band of Chippewa Indians, as well as other Native American and Alaska Native individuals. Powered by JazzHR bXht44HE2I

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 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., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *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 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: $160K - $190K, 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 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 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 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 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

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our ___. About the Role: As a Senior/Staff Data Scientist supporting Gusto Retirement, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to support the retirement financial platform product for Gusto’s small business customers. In this role, you will work closely with our cross-functional teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Gusto Retirement data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here’s what you’ll do day-to-day: • Lead: Own ambiguous problems with an AI-native approach, design analysis frameworks, and introduce structure that scales across multiple product domains., • Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making., • Analytical Rigor: Apply advanced statistical methods, causal inference, and experimentation to surface drivers of product performance, separating signal from noise., • Experimentation & Measurement: Design, analyze, and interpret experiments; leverage AI tools and workflows to ensure insights highlight trade-offs and limitations based on sample size and data quality., • Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines., • Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company., • Operate with Agility: Drive progress with an adaptive and creative mindset to navigate and succeed in a dynamic environment where technologies and project scopes are constantly evolving., • Scaling the Craft: Mentor other data practitioners, uplevel team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities across the org. Here’s what we're looking for: • 5 – 10 years of experience in Data Science at a product-focused software company, • Tactical SQL skills and experience with Python, • Must be comfortable learning new tools and pivoting quickly. Demonstrated comfort with ambiguity and an adaptive mindset in a constantly changing work environment, • Tangible experience integrating efficient AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights, • Proven ability to apply statistical methods, causal inference, and A/B testing experimental design to real business problems, • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership, • Demonstrated experience leading large, technically complex projects with clear business impact, • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights, • Passion for mentoring others and raising the bar for data science craft across the team Our cash compensation amount for this role is $135,320 to $189,900 annually in Denver & most major metro locations, and $163,830 to $202,050 annually for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out ___ and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our ___. Personal information collected and processed as part of your Gusto application will be subject to ___.

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We’re more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Required Skills: • 5+ years in Data Science., • Strong Python coding/scripting Skills., • AWS CI/CD exposure., • Ability to build models that can drive value of data. Deploy the data into AWS environment. About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, ___ Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team! Title: Senior Data Scientist Department: Engineering & Data Reports To: Senior Manager, Data Science FLSA Status: Exempt Location: Denver, CO Job Summary We are seeking a Senior Data Scientist to play a critical role in building the future of digital identity. This pivotal role requires a strong blend of expertise in statistical analysis and applied machine learning, coupled with practical experience in production-oriented workflows. You will build models, generate insights, and proactively collaborate with Machine Learning Engineers, Engineers, and Product to ensure models are production-ready, effectively monitored, continuously improved, and meet the needs of the business. Key Responsibilities • Develop, validate, and tune statistical and machine learning models that solve complex business problems., • Partner with engineers to ensure models are designed with production deployment in mind., • Using robust statistical methodologies, design experiments and proactively evaluate models for drift, accuracy, and reliability., • Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains., • Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure., • Provide insights and business recommendations based on model performance in production and communicate results clearly to both technical and non-technical stakeholders., • Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction., • Mentor team in best practices for applied ML and production readiness. Qualifications & Experience • 5+ years of experience applying machine learning and statistics to business problems., • Master’s or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience)., • Prior exposure to production ML environments and workflows., • Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow)., • Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling., • Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines., • Proficiency with cloud platforms (AWS)., • Solid understanding of APIs, model deployment processes, and monitoring practices., • Familiarity with other programming languages such as R, Java, and Go., • Excellent communication skills with ability to bridge technical and business contexts., • Strong problem-solving and proactive ownership mindset., • Experience working in cross-functional teams with engineers, product managers, and business leaders., • Ability to balance quick iterations with building long-term scalable solutions., • Comfortable working in ambiguity: turning nebulous problems into concrete solutions and analyses. This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $145,000 - $160,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data. Benefits & Perks for FTE Provers: • Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan, • Modern Health for financial, mental, and physical wellness, • 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices), • Unlimited Vacation and Flexible hours, • Comprehensive medical benefits for you and your family ❤️, • Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement), • Bottomless snacks & beverages for certain office locations, • Daily GrubHub stipend for lunch if coming into the office (US Offices), • A great place to work and connect with other talented Provers like yourself! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy & Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our ___ on our website.

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. Key Areas of Responsibility (What You’ll Do) • Scope and co-develop production-level data science projects with our customers across different industries and use cases, • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support, • Provide strategic input to the customer and account teams that help make our customers successful., • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams, • Lead technical data science projects pre-sales scoping and design appealing proposals, • Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage), • Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality, • Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming, • Run demo booth/tech talk duties at company public events (e.g. Everyday AI), • Lead Junior Data Scientist technical interview, • Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year Experience (What We’re Looking For): • Curiosity and a desire to learn new topics and skills, • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public, • The ability to clearly explain complex topics to technical as well as non-technical audiences, • Over 5 years of experience with Python and SQL, • Over 5 years of experience with building ML models and using ML tools (e.g., sklearn), • Experience with LLMs, • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit), • Understanding of underlying data systems such as Cloud architectures and SQL, • Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field, • Location: Must be located within the CST or MDT timezones Bonus points for any of these: • Experience using Dataiku DSS, • Experience with Consulting and/or Customer-facing Data Science roles, • Experience in the Manufacture & Defense sector, • Experience with Data Engineering or MLOps, • Experience developing WebApps in Javascript, • Experience building APIs The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $160,000 - $189,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our ___. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: ___ Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity ___

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.

___ is a consulting firm that is trusted by the world’s leading organizations and specializes in business transformation and technology services. We are committed to making an impact for our customers and leveraging technology to unlock human potential. We help accelerate our customers' progress toward meaningful outcomes by bringing together cross-industry expertise, proven processes, and transformative technology to activate shared potential. Our diverse set of experts spans___ with international reach via our partnership with Nextcontinent. We're united by our desire to help our customers succeed, wherever they do business. Point B has been consistently recognized as one of the best places to work by Fortune® Magazine, Great Place to Work, Consulting Magazine, BuiltIn, and many others. Our Data and Analytics practice helps our customers across their journey to become insights-driven organizations. Insight-driven organizations use data to drive measurable business value, creating opportunities for growth, profitability and operational excellence. WHAT YOU’LL GET TO DO: Lead our customers through transformational change by driving the design and execution of data and analytics strategies Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state Contribute to the direction of our Data and Analytics Consulting practice through exceptional customer service delivery and support of business development efforts Work with teams of customer personnel and Point B consultants to plan and deliver on data and analytics initiatives Grow as a leader working alongside senior Point B consultants who provide mentorship and support Exercise your entrepreneurial spirit and contribute to the firm’s growth as an employee-owner WHAT WE OFFER: The ability to chart your career path based on expertise and passions An environment that encourages you to identify new opportunities and supports you in reaching your goals The chance to have a balanced lifestyle by working with local or national clients in a flexible consulting model The opportunity to be part of building a new practice area within Point B The support of a well-established consulting firm and access to a rich network An environment that encourages you to identify new opportunities and provides the support to make it happen The opportunity to further enable fun and collaborative culture with teams that are as passionate about their communities as they are about their clients A comprehensive, flexible Total Rewards program that supports and recognizes each individual’s unique needs and contributions to the firm WHAT WE EXPECT YOU’VE ALREADY DONE: 8+ years leading or participating in data and analytics projects, in a quantitative, data driven or highly analytical business environment Solved complex business problems by converting raw data into meaningful and actionable business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc.) Demonstrated the ability to work directly with customers to lead high priority initiatives and act as a trusted advisor Earned BA or BS with preference for quantitative undergraduate degree (e.g. BS in Mathematics, Economics, Computer Science, Information Management or Statistics) Available to travel up to 50% PREFERRED QUALIFICATIONS: Data warehouse and data platform design and technical implementation leadership Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX) Experience designing, building, and deploying large scale solutions within the Power BI Premium service D&A experience in specific business functions (Finance, Sales and Marketing, Operations and Supply Chain) Experience with key data sources like Microsoft Dynamics 365, Oracle, SAP, Salesforce, and Adobe Ideally industry-specific systems experience. Electronic Medical Records (EMR) systems such as Epic, and Ecommerce and Point-of-Sale (POS) systems like Hybris and Aptos Technical certifications on the Microsoft platform (Azure Solution Architect, Azure Data Engineer, Azure Data Scientist, Azure Fabric Analytics Engineer) Certified Power BI Data Analyst THE KIND OF PEOPLE WE LOOK FOR: Versatile consultants who are passionate about data and analytics and thrive on variety and challenge Innate problem solvers who want to grow in a flexible, collaborative culture Comfortable transitioning between strategic and execution responsibilities to maximize customer value Confident decision makers with a proactive mindset Engaging leaders who make a positive impact on their firm, customers, and communities Those who have a growth mindset regarding training, practice, and evolving their skills Versatile people who thrive on variety and challenge Successful in ambiguous environments Desire to and ability to learn Passion for Point B’s Mission, Vision, Values & Culture Gets it done brand and attitude Ability to work from home Ability to work non-standard work hours when necessary. COMPENSATION AND BENEFITS: The estimated salary range for this role is $105,000 - $150,000 USD per year. This salary range is provided as required by local and state law as applicable. Individual salaries vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Bonuses are awarded at Point B’s discretion and are based upon individual contributions and overall firm performance. \n \n INTRIGUED TO LEARN MORE? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like. WHAT MAKES POINT B DIFFERENT? We put our passion for change to work, using our purpose and values as our north start. Our teams help organizations solve their greatest challenges and created an inclusive culture that attracts and retains the world’s best talent. Be part of a collaborative culture where we build lasting relationships with each other, our customers, and our communities. ___ – Point B rewards high performance with a total rewards approach that includes competitive base pay, benefits, and short-and long-term incentives — as well as flexibility, leadership development opportunities, and a culture designed to help our diverse team of individuals flourish. Employee Ownership – We give employees a voice in directing their careers and the growth of our company. Our Employee Stock Ownership Plan (ESOP) is a non-contributory retirement vehicle that grows over time from annual allocations (based on individual compensation) and the value of our company. ___ – We are proud to be named a Best Workplace in the US by Fortune magazine, Best Workplaces for Millennials, and Best Workplaces for Women in addition to other awards regarding our workplace inclusivity. Point B is an equal-opportunity employer committed to a diverse workforce. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. You can read more about our commitment to diversity on our ___. Point B is committed to providing equal opportunities for persons with disabilities or religious observances, which includes providing reasonable accommodation for in any individuals with disabilities or for religious purposes. Applicants with disabilities may contact our Accommodations team at ___ or 206-517-5000 to request and arrange for accommodations through the application and/or recruiting process. If you need assistance to accommodate a disability or religious observance, you may request an accommodation at any time. Please note: This mailbox is only for accommodation requests or questions. Please use the Contact Us form for any recruiting inquires. Legal Information for Job Seekers can be accessed on our ___ Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We are seeking a talented Senior Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation. Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business. Key responsibilities: • Develop and refine proprietary models to assess customer credit profile, • Collaborate closely with the Pricing and Profitability team to leverage profitability models and develop pricing strategies, • Design and implement A/B testing frameworks to evaluate the performance of our models, analyzing outcomes to drive continuous improvement, • Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies Requirements: • Degree in Statistics, Mathematics, Economics, Computer Science, or a related field, • 4+ years of experience in Data Science, Analytics or related field, • Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python), • Experience working with relational databases, such as SQL, • Excellent knowledge in applied statistical methods and machine learning models, • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment, • Experience in financial services, fintech, or a related industry preferred Compensation: The budgeted annual salary range for this position is $96,000 to $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail ___. Benefits & Perks: • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results., • Health, dental, and vision insurance including mental health benefits, • 401(k) matching plus a roth option (U.S. Based employees only), • PTO & paid holidays off, • Sabbatical program (for eligible roles), • Summer hours (for eligible roles), • Paid parental leave, • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova), • Employee recognition and rewards program, • Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture ___. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click___ to review our California Privacy Policy for Job Applicants.

Prime Time Consulting, a GRVTY Company, provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government. We are actively searching for Data Scientists, located in Colorado, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing., • 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 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 Government 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 Government collection, processing, storage and analytic capabilities and limitations., • Bachelor’s degree with 10 years of relevant experience, • Associate's 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. Note: 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 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., • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs

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, • Work in an environment that thrives on teamwork and continuous learning opportunities Requirements: • 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.

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., • Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level. Qualifications: • 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.

Start the Best Work of Your Career at Boom At Boom, data is more than numbers—it’s the lifeblood that fuels supersonic innovation. We’re building Symphony, the first purpose-built jet engine for sustainable supersonic passenger flight, and every test, every model, every decision depends on extracting the right insights from complex datasets. As a Data Scientist at Boom, you’ll embed directly with engineers and test teams, turning raw, noisy data into mission-critical insights. From developing pipelines that visualize test results on the fly to architecting cloud-based ETL workflows, you’ll shape how Boom makes decisions at Mach speed. If you thrive at the intersection of statistics, software, and engineering—and want to see your work directly influence the future of flight—this role is for you. Role Overview • Collaboratively plan, develop, and deliver customized data analyses that lead to data driven and actionable results, • Develop high quality software tooling that stitches together the data fabric at Boom. This includes planned code requirements, source control, automated tests and deployment workflows, • Support real-time data collection and visualization for test events, • Design, build and deploy ETL pipelines feeding into cloud storage solutions, • Approach problem-spaces at Boom with a hypothesis driven, scientific mindset. Turn qualitative observations into quantitative data points with error bars. Back up results with statistical reasoning. Extract meaning from complex, noisy datasets. Combine heterogenous datasets in useful ways, • Employ tried and true statistical, artificial intelligence, machine learning and numerical methods in relevant use cases to unlock relationships between data and systems. Know when to push the envelope and deploy state-of-the art methods when conventional methods fall short The Ideal Candidate • Strong background in statistics, machine learning and software development; particularly in noisy, empirical datasets requiring wrangling, normalization, and tidying, • Proficient in writing high quality software tooling, particularly in Python and MATLAB. Deep familiarity with industry standard numerical computing toolsets such as scipy, numpy, pandas or Mathworks Statistics and Machine Learning Toolbox, • History of collaborative projects embedded in technical domains, especially in scientific or engineering spaces. Desire to embed themselves in high-stakes environments where data outputs have influence over mission success or failure, • Background in data classification, clustering and data driven modeling. You should have experience in identifying and utilizing the appropriate machine learning techniques given parameters of the problem and data, • Familiarity with common, conventional high density data storage formats such as: parquet, avro, HDF5, and netCDF; as well as in-transit data formats such as arrow, protobuf, and ethernet based formats, • Demonstrates a strong work ethic and ambition, complemented by effective collaboration skills in a team setting, • Excels in a high-energy, independent, and challenging work environment What Will Set You Apart • Experience in systems programming languages, particularly Rust or Go, • Designing systems for anomaly detection, • Prior work with time series analysis, real time data visualization, or databases, • Masters or Doctorate in a Data Science field, or a proven track record and portfolio Compensation • P3 Level - Typically 5 - 10 years of experience - Base salary range: $118,000 – $149,000, • P4 Level - Typically 10 - 15 years of experience - Base salary range: $140,000 – $177,000 Actual compensation will vary based on factors including, but not limited to, location, experience, and performance. The range listed is just one component of Boom’s total rewards package. Other elements may include long-term incentives/equity, flexible PTO, and a suite of progressive benefits designed to support our employees’ well-being and growth. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active. ITAR Requirement To conform to U.S. Government aerospace technology export regulations (ITAR and EAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. ___ Boom is an equal opportunity employer and we value diversity. All employment is decided on the basis of qualifications, merit and business need.

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.