About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025. The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet. Location: This position can work onsite or hybrid from one of our offices or fully remote in the US. Travel: 10% domestic and international Job ID: 1489 The Role: We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you’ll be part of a cross-functional team whose mission is to lead IonQ on a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ. As a technical leader in quantum algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)! Responsibilities: - Develop impactful hybrid quantum applications that accelerate commercial advantage in practice and at scale. Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers. - Develop and integrate first-of-a-kind quantum algorithms into end-to-end workflows for real-world applications in materials science and combinatorial optimization, including, but not limited to, interfacing with leading commercial and scientific tools such as Synopsys QuantumATK, Quantum ESPRESSO, VASP (materials science and semiconductor applications), Synopsys LS-DYNA, HFSS, Fluent, Sentaurus, Gurobi, CPLEX, Pyomo (optimization applications); translate practical use cases into quantum-native formulations, connect classical simulation outputs to quantum models such as Fermi–Hubbard and Heisenberg Hamiltonians, and map quantum-computing results back into domain workflows for actionable use in production-relevant applications. - Perform hands-on development of fault-tolerant quantum algorithms and collaborate with the Fault Tolerant Quantum Computing (FTQC) algorithms team at IonQ to create a large scientific and commercial impact across a wide range of industry verticals. Contribute deep expertise in classical and quantum algorithms to evaluate and benchmark approaches (FTQC, NISQ, and HPC), clearly communicating state-of-the-art performance, scaling behavior, trade-offs, and cross-over points to stakeholders while driving adoption of standardized benchmarking metrics and tools. - Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers. - Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences. Requirements: - Doctorate degree in Physics, Computer Science, Mathematics or another STEM domain, or equivalent work experience plus 5+ years of professional work experience in the quantum computing field solving the toughest challenges for society. - Expertise in the quantum simulation of large-scale semiconductor materials and devices, with hands-on experience using tools such as QuantumATK and Quantum ESPRESSO / VASP to analyze band structures, defect states, and related electronic properties across a wide range of materials and lattice types. Experience in parameter extraction / classical simulation transformation for use in quantum-native models for fault tolerant quantum computers. - Expertise in development and resource estimation of FTQC algorithms across domains in condensed matter physics, semiconductor physics, high energy physics etc. that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value. - Expertise in application of FTQC algorithms for solving complex combinatorial optimization problems across domains such as transportation, supply chain, logistics and related areas, with hands-on experience developing novel algorithms and software tools for optimization and operations research, supported by a strong track record of peer-reviewed publications and contributions to production-grade codebases. - Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity and ability to communicate from community to business to PhD level. - Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++. - Demonstrated expertise software development using Agentic-AI using Codex, Opus or similar AI assistants. Preferred Qualifications: - 7+ years of professional work experience developing end-to-end solutions for realistic industry problems in areas such as computer-aided engineering, semiconductor materials design etc. Demonstrated experience with applying commercial tools to solve problem sets of practical relevance. - Active participant in the FTQC algorithm community including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and community (economic development, standards) with an active portfolio of invited talks, repos, licenses, publications and/or patents. - Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills. - Experience developing quantum algorithms for NISQ era quantum computers, including hybrid solutions e.g. classical pre/post processing (CPU) and variational (GPU + QPU) energy minimization, QAOA, etc. The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. We’re looking for a Data Scientist to join Coinbase who will partner with product, engineering, and design to improve both customer-facing products and the core systems that power them. You’ll work across areas like consumer products (spot and advanced trading, yield, Coinbase One, and new launches) or platform systems (Payments, Risk & Trust, Identity & Onboarding, Compliance, Customer Support, and Experimentation). The role focuses on high-impact, cross-functional problems like improving user experience, driving growth, and making Coinbase safer and more reliable. You’ll define and instrument key metrics, build measurement and causal frameworks, build and tune business critical models, and translate insights into product strategy and shipped improvements. What you’ll be doing (ie. job duties): - Devise testing plan to better understand key product metrics and inform product strategy. - Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations. - Build new analytics and machine learning models that improve both our insights and the product directly. - Measure business performance, develop / refine core metrics and create reporting to understand and monitor them. - Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives. - Initiate, develop,and maintain data pipelines and data models with outstanding craftsmanship. What we look for in you (ie. job requirements): - BA / BS degree or equivalent practical experience. 8+ years relevant experience, or a PhD degree in related fields + 5 years. - Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. - Understanding of statistical concepts and experience in applying them. - Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.) - Experience in data analyses using SQL. - Experience in at least one programming language (preferably Python). - Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to haves: - Previous experience working in crypto is a plus. - Domain experience in product, marketing, growth, and/or other business analytics areas. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: P75647 Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $207,485—$244,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

The Opportunity Hi there! I'm Esteban Navarro Garaiz, and I lead the Baseball Intelligence team at Teamworks. Our Intelligence platform is used by MLB teams, NCAA programs, and international clubs to make player personnel and coaching decisions — and this role sits at the center of how that value gets delivered. I'm looking for a Product Scientist with a strong baseball analytics background and the technical acumen to validate model outputs, drive adoption across our partner organizations, build internal reporting, and feed what they learn back into the product in close partnership with our Data Science and Engineering teams. Two immediate priorities: building platform observability and supporting NCAA trial conversions and MLB sales outcomes. We're open to both Product Scientist and Senior Product Scientist candidates depending on experience. The Role - Own the full client lifecycle for MLB and NCAA partner teams, from onboarding through ongoing adoption, ensuring partners consistently get value from the platform - Build and maintain a unified client health dashboard that consolidates Google Cloud, API, and web application usage into a single view of platform observability - Drive NCAA trial program outcomes in close coordination with Customer Success, with the goal of converting trials to paid partnerships - Validate model outputs and platform releases against baseball intuition before they reach partners, serving as the first internal line of defense - Partner with data scientists and engineers to design statistical validation plans for new and enhanced capabilities - Translate model updates and feature releases into clear, practical communication for both technical and non-technical audiences across partner organizations - Contribute to MLB sales efforts by developing customized materials, joining sales conversations, and helping demonstrate platform value to prospective partners - Feed partner insights back into the product roadmap by advocating internally for what front offices and coaching staffs actually need What I’m Looking For What You Must Bring: - 2+ years of experience in a baseball data science or technical product management role - Deep knowledge of baseball analytics, including player evaluation, projection, and on-field strategy, with fluency in how those concepts apply at the professional and collegiate levels - Proven track record of working with or alongside MLB or NCAA front offices, coaching staffs, or public-facing analytics organizations in a data or analytics capacity - Strong proficiency in SQL and experience querying relational databases for analysis and reporting - Proficiency in Python or R for statistical analysis, modeling, and data visualization tools (e.g., Looker, Shiny, Tableau) for statistical analysis, reporting, and communicating outputs to non-technical audiences. Even Better If: - You have experience with cloud data infrastructure including Google Cloud Storage (GCS), AWS, Airflow - You have familiarity with Agile project management tools like Linear or GitHub - You have a background in applied mathematics, statistics, computer science, or a related quantitative field - You have active participation in the baseball analytics community through research conferences (e.g. Saberseminar, SABR Analytics) or published research Why This Role The Baseball Intelligence team is evolving fast and there's real greenfield work ahead. Platform observability needs to become data-driven rather than qualitative. Our NCAA platform is just getting started and needs dedicated ownership and support to achieve its vision of becoming the standard for college baseball analytics. MLB sales efforts need someone who can walk into a room with a front office and speak the language. This is a role where you'll have direct visibility into how the product evolves and a real say in the outcomes that matter most to our partners. About Teamworks We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

Join Us! HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance. About the Role We’re hiring a Data Scientist (Production ML) to own and evolve our core production bidding system. This is not a research-only role and not a ticket-taking role. You’ll work directly with product, engineering, and business stakeholders to define problems, design solutions, and ship production-ready models that materially impact the business. We’re especially interested in people who are curious, pragmatic, and adaptable—the kind of data scientist who can move between modeling, data engineering, and software development as the problem requires. Prior experience matters, but how you think and learn matters more. This role sits on the data team alongside data engineers, data scientists, and analysts. What You’ll Do Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement. Develop, train, and optimize models used in a real-time or near-real-time bidding and decisioning system. Work with stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions. Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability. Write production-quality Python code (not just notebooks) and collaborate with engineering on deployment, CI/CD, and system design. Analyze model behavior using logs, metrics, and offline analysis to identify performance issues and opportunities. Contribute to data pipelines and infrastructure where needed (e.g., ETL, materialized tables, model inputs). Make thoughtful tradeoffs between something that is “theoretically optimal” and something that is reliable, fast, and shippable. What We’re Looking For Core Requirements Strong Python experience, including writing code that runs in production systems. Solid SQL skills and experience working with analytical databases (Snowflake or similar). Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on real, messy data. Experience deploying, maintaining, or owning ML models beyond experimentation (APIs, batch jobs, or streaming systems). Comfort working across dev, staging, and production environments. Ability to operate with limited guidance: you can ask good questions, propose solutions, and move work forward independently. Bonus Skills Experience at a smaller company or on a small team where you wore multiple hats. Depth in one or more of: Gradient boosted models and performance optimization Feature engineering for tabular data Data engineering / ETL design Model monitoring, evaluation, and debugging in production Experience improving model latency, reliability, or cost—not just accuracy. Prior technical leadership or informal mentoring experience. Familiarity with Airflow, Kubernetes, or cloud infrastructure. What This Role Is Not Not a research-only role. Not a role where requirements are always fully specified up front. Not a notebook-only environment. Not a position where “training a model once” is considered done. Why You Might Like This Role You’ll own systems that directly affect revenue and business outcomes. You’ll have real autonomy over technical decisions. You’ll work on problems where good judgment matters more than shiny tools. You’ll see the full lifecycle of models—from idea to production to iteration. Benefits Opportunity to work from home Excellent work environment Medical, dental, and vision insurance Up to 15 days of paid time off 12 company observed holidays 401k plan with company match Life insurance Professional growth opportunity Most importantly, an inclusive company culture established by an incredible team! Get to Know Us! https://www.healthcare.com/ linkedin.com/company/healthcare-com