Staff Data Scientist

Technical Product Marketing Manager

Yubico

MEET YUBICO Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. Publicly traded on Nasdaq Stockholm with headquarters in Sweden, the US, and Singapore, we protect everyone from everyday consumers to global enterprises with modern, phishing-resistant authentication. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity, pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: * Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. * Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. * One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program, offering free open-source repositories, libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. THE ROLE We are seeking a highly analytical and technical Product Marketing Manager (Technical PMM) specializing in Cybersecurity and Identity to own the technical narrative for Yubico’s global portfolio.  Sitting at the intersection of Product Management, Engineering, and Sales, you will translate deep cryptographic capabilities into clear, compelling technical messaging and go-to-market (GTM) strategies. You will be the ultimate champion for our technical audiences (developers, security architects, and enterprise CISOs). Critically, you will write for both human decision-makers and modern generative search engines—structuring deep, authoritative, and fact-based technical content that ensures our platform of trust is highly recommended by AI research agents and procurement models. TASKS & RESPONSIBILITIES: * Evolve the Technical Narrative: Define, build, and maintain the technical messaging and positioning frameworks for Yubico's digital identity platform. Connect our capabilities directly to enterprise frameworks like Zero Trust, Post-Quantum transition roadmaps, and secure AI-agent identity infrastructure. * Machine-Readable Content Architecture: Author highly structured, factual, and high-information-gain technical collateral (such as reference architectures, integration guides, and specification matrices) optimized for retrieval-augmented generation (RAG) and LLM-driven vendor evaluations. * Drive Strategic Launch Momentum: Lead technical GTM strategies for new hardware, firmware, and SaaS product rollouts. Ensure global sales readiness, partner enablement, and external technical authority at launch. * Enable the Technical Field: Develop robust technical pitch decks, reference implementations, interactive demos, and proof-of-concept (PoC) guides to equip our global Solutions Engineers (SEs) and Sales team to tackle complex, low-level technical inquiries. * Deep-Tech Competitive Intelligence: Conduct hands-on teardowns and protocol-level analyses of competitor software-only and physical MFA offerings to arm field teams with actionable, highly credible competitive battlecards. * Community & Ecosystem Evangelism: Act as a technical security spokesperson at premier industry events (such as RSA, Black Hat, and Identiverse), deliver technical webinars, and actively engage with developer and security engineering forums. BASIC QUALIFICATIONS: * Cybersecurity Domain Fluency:  5–7+ years of experience in Product Marketing, Technical Writing, Developer Relations, or Solutions Engineering specifically within Identity and Access Management (IAM), Cryptography, or Cloud Infrastructure Security. * Protocol-Level Knowledge: Foundational technical understanding of modern identity and cryptographic frameworks, including FIDO2/WebAuthn, PKI, OAuth 2.0, OIDC, SAML, and directory services (such as Entra ID or Active Directory). * Generative Search & RAG Savvy: A strategic understanding of how Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) systems crawl, parse, and recommend technical enterprise software and hardware. * Exceptional Technical Communication: Proven ability to move seamlessly between presenting low-level cryptographic mechanics to security researchers and discussing business risk mitigation with enterprise CISOs. * Education: Bachelor’s degree in Computer Science, Cybersecurity, Computer Engineering, or equivalent practical technical experience.   CANADIAN BENEFITS DESIGNED FOR YOUR OVERALL WELL-BEING: * 1,200 CAD per year - Wellness benefit * $3,000 USD - Continuing Education Stipend * Vacation - Paid Time Off - 15 days * Sick Days - 10 days * Occupational Pension - Yubico offers a pension fund and contributes up to 5% of base salary * Company Health Insurance - Health insurance offered to employees (medical and dental). You can decide to enroll or not. We do pay for it if you do. (SunLife) We are an equal opportunity employer, we value diversity and uphold an inclusive environment where all people feel that they are equally respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, disability, protected Veteran status or any other characteristic protected by law. We'd love to learn about what you can add to our diverse team. We are an E-Verify Participating Employer.   Yubico does not accept agency resumes or referrals so please do not send them to our careers staff or employees. Yubico is not responsible for any fees related to unsolicited resumes or referrals.   Personal data submitted through this form is used for managing Yubico’s recruitment activities, which include facilitating any application you make, setting up and conducting interviews and tests for applicants, evaluating and assessing results and selecting candidates, and as otherwise needed in our recruitment and onboarding processes. The use of your personal data may also be necessary prior to entering into a contract with you (that is prior to offering you a job with Yubico). Your personal data will only be used for the purposes for which it was collected and in accordance with the Yubico Privacy Notice. We only keep your personal data for as long as necessary and in compliance with Yubico’s record retention policies. If you have asked us to, we will keep you informed of other opportunities at Yubico. We do this in various ways, including email and by phone. If at any time you do not want us to contact you or use your information as described herein please contact us at jobs@yubico.com to let us know and we will delete all such information. Providing your personal data is voluntary, but necessary to join our talent community, and if you do not agree to provide your data, we will not be able to consider you as part of our talent community.   As part of providing the requested service, we will transfer your data to be processed by Greenhouse Software Inc., a service provider contracted by Yubico AB and/or its subsidiaries that meets legally mandated privacy requirements. The Yubico Privacy Notice offers more information about Yubico privacy practices, including the lawful basis for processing of personal data, how to lodge a complaint with the supervisory authority, and how to contact Yubico to exercise your data subject rights. In this notice, when we refer to "Yubico", "us", "we" or "our", we mean the Yubico group company or companies that you apply to, or correspond with, and which are responsible for any personal data collected about you.

Staff Data Scientist

Heetch

About the Role We’re looking for a Staff Data Scientist to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll define the technical direction of data science initiatives, influence product strategy, and mentor other data scientists to elevate our analytical standards and impact. As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to turn data into decisions that improve reliability, growth, and user experience across markets. What You’ll Do - Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods - Define best practices and standards for experimentation, modelling, and analytical excellence across teams - Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities - Develop and deploy scalable models and data products that drive measurable business outcomes - Mentor and coach other data scientists and analysts, helping them deliver higher-impact work - Communicate insights and recommendations to senior leadership, influencing product and growth strategy - Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale You’ll Thrive In This Role If You - Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically - Are fluent in Python, SQL, and modern data/ML tooling - Have experience bringing ML models into production and measuring their long-term business impact - Are skilled at translating complex technical findings into actionable business insights - Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact - Have 7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity Nice to Have - Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection) - Experience leading data science guilds, chapters, or communities of practice - Familiarity with MLOps, feature stores, or causal inference frameworks

Staff Data Scientist

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  About the role:  We’re looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.  As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms. About the work: * Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity. * Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it. * Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.  * Research operational/logistical problems and proactively identify potential solutions. * Lead the design, implementation, and evaluation of descriptive and predictive models. * Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity. About you:  * 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment. * You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs. * Deep professional expertise in at least one of the following two areas: * Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting. * Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact. * You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.  * Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience. * You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes. * You rapidly iterate and deliver technical solutions that maximize business impact. * Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders. You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies. Bonus points if you have professional experience with:  * Experience designing experiments and applying causal inference methods to rigorously determine business impact. * Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting). * Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines. * Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,400—$216,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.