Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Data Scientist to join our Movement Squad with a focus on unlocking new movement insights through advanced hardware sensing. This squad is responsible for translating sensor capabilities into meaningful, high-impact features for athletes and highly active members aiming to optimize their physical performance. In this role, you will work at the intersection of hardware, sensing, and algorithm development, where you will build next-generation movement and running dynamics algorithms and investigate how new sensing modalities can improve accuracy and robustness. Your work will directly shape how new hardware capabilities translate into actionable insights and personalized guidance for our members. This is a remote role based in the U.S. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings, and employee hubs including New York City, Boston, Los Angeles, Seattle, and more. What You Will Do - Develop Movement Algorithms: Contribute to the research, prototyping, and development of movement and activity algorithms, with a focus on leveraging existing and emerging hardware sensing capabilities. - Translate Sensor Data into Insights: Design, build, and deploy production-grade models and analytical pipelines that translate raw sensor data into accurate and actionable movement metrics and personalized insights for Oura members. - Collaborate on Hardware<>Algorithm Co-Design: Partner closely with Hardware, Firmware, and Engineering teams to evaluate new sensing modalities, understand sensor limitations and tradeoffs, and influence how hardware capabilities translate into reliable movement algorithms. - Influence Product Direction: Collaborate with Product, Engineering, and Design to shape the technical vision and roadmap for movement sensing and tracking, ensuring solutions are scientifically sound and deliver meaningful member value. Requirements We would love to have you on our team if you have: - MSc degree with 2+ years of relevant industry experience or a PhD in a related field (e.g., data science, biomechanics, signal processing, or machine learning). - Experience developing and deploying data science or machine learning solutions to production as part of a cross-functional team. - Hands-on experience working with time-series data from multi-axis accelerometers, gyroscopes, or similar MEMS sensors, ideally in wearables, biomechanics, or motion analysis contexts. - Strong understanding of sensor data characteristics, noise sources, and real-world constraints, and experience designing algorithms that are robust to these challenges. - Expert-level proficiency in Python, including deep knowledge of scientific/ML libraries, and experience building robust, scalable, and production-ready code. - Expert-level proficiency in SQL and data wrangling, and comfort contributing to and maintaining the data pipelines for the features you develop. - A solid understanding of experimental design, causal inference, and validation methodologies for ML-powered product features. - Familiarity with end-to-end development using AWS (or a similar cloud service). - Experience working with international and distributed teams. - Prior experience in the athletic performance technology space or wearable sensing. Nice to Have - A background in biomechanics, kinesiology, or sports science. - Experience with MLOps principles and tools for model deployment and monitoring. - Experience with hardware development. - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: - Competitive salary and equity packages - Health, dental, vision insurance, and mental health resources - An Oura Ring of your own plus employee discounts for friends & family - 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off - Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. - Region 1 $151,300 - $178,000 - Region 2 $138,550 - $163,000 - Region 3 $127,500 - $150,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: - Our jobs are listed only on the ŌURA Careers page and trusted job boards. - We will never ask for personal information like ID or payment for equipment upfront. - Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Role Description Provenir has created a brand new role to build something that doesn't yet exist inside our business: a dedicated R&D function at the crossroads of data science, product, and engineering. You'll sit within our Product function, working in close partnership with Data Science and Engineering. You'll own your workstream end to end from research insight through to product roadmap recommendation, no handoffs. If you do your best work inside well-defined processes with a long onboarding runway, we'd rather you knew that upfront. But if you've always sat awkwardly between the academic and the commercial, if great research going nowhere frustrates you, if you've been waiting for a role that asks you to do both, keep reading. What You'll Do - Lead original research into new AI capabilities: Generative AI, Agentic AI, Machine Learning focused on what Provenir should build next - Turn research into concrete product recommendations the business can act on - Talk to customers and internal experts to surface unmet needs before they show up in the data - Collaborate with engineering and data science peers to move ideas from research into reality - Own the product narrative around your workstream, from first hypothesis through to roadmap Qualifications - A strong academic foundation in data science: Masters, PhD, or equivalent applied research experience - Real, hands-on commercial data science experience, not purely theoretical - Practical exposure to Generative AI, Agentic AI frameworks, or advanced Machine Learning - The ability to make credible recommendations even when the data picture isn't perfectly clean Requirements - Think in problems before solutions: business needs first, science second - Own a product workstream without a PM translating for you - Have an instinct for what customers need, not just what the numbers show - A self-starter: you add value before anyone has to ask - Equally comfortable in a strategic conversation and a deep technical one, able to switch between them in the same meeting - Energised by fast-scaling environments, not exhausted by them - Clear and confident communicating with engineers, customers, and leadership alike - Excited by what this role doesn't have yet, rather than unsettled by it Benefits - Comprehensive health and wellness plans - Paid time off and company holidays - Flexible and remote-friendly opportunities - Maternity/paternity leave Company Description Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Kick-start your career with Mercury Ignite: Graduate Program in Growth Data Science and Data Governance, a 12-month structured journey that offers hands-on experience across real business projects and rotations within the Enterprise Data Science organization at Mercury Insurance. We are seeking curious, passionate, and hard-working graduates from data science, computer science, data analytics, business analytics, statistics, and machine learning academic fields to participate in our remote graduate program. In this program, you will have two, six-month rotations focused on the below two functions: - Growth Data Science: Focuses on building growth data science expertise, driving experimentation, customer insights, and data-driven growth strategies through impactful analytics and AI solutions. - Data Governance: Focuses on building expertise in modern data governance by improving data quality monitoring, metadata documentation and enrichment in the Data Catalog, supporting Master Data Management (MDM), and supporting data classification to ensure responsible data access and privacy compliance, while enabling trusted, secure, and scalable data-driven decision making. Job Function: - Apply statistical analysis and experimentation to drive customer growth, optimization, and data information business decisions. - Develop, clean, and analyze datasets using tools like SQL, Python, or R to generate actionable insights. - Partner with cross-functional teams to translate business problems into data-driven solutions and measurable outcomes. - Ensure data quality, integrity, and consistency through data validation, quality monitoring, documentation, and adherence to data governance standards. - Support data governance initiatives including master data management, metadata documentation and enrichment in the Data Catalog, and data classification to enable responsible data access, privacy compliance, and trusted data assets. - Leverage AI and machine learning techniques to enhance predictive insights, automate processes, and responsibly scale data-driven decision making. Qualifications - Be legally eligible to work in the U.S. - Recently completed a bachelor's or both bachelor's and master's degree in an information technology (computer science, Electrical engineering, Mathematics and Data science) field. - Able to provide a cumulative GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred. - Graduation date on or after November 2025 but no later than June 2026. - Planning to seek full-time employment by June 2026. Requirements - Excellent verbal and written communication. - Good problem-solving skills. - Willingness to independently learn and make an impact within a team environment. - Strong programming skills in at least one of the following: Java, JavaScript, Python. - Good understanding of different data structures and algorithms. - Preferred but not required: experience with AI, SQL, and Git/GitHub/GitLab. - Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting, and/or carrying ten pounds maximum. Benefits - Entry-level role with real-world experience in areas of AI, Data, and Automation. - Full-time opportunity to gain hands-on experience with programs and projects. - Assigned buddy to support with team assimilation. - Earn a competitive salary with benefits. Company Description At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

• Review, analyze, and provide oversight of large-scale healthcare datasets and databases to ensure TRICARE Manuals are informed by accurate, complete, and relevant data • Apply data-driven and analytical methodologies to meet client-defined requirements and support evidence-based decision-making • Conduct analyses that consider existing performance, risk, and attribution methodologies used within the TRICARE Manuals Application • Evaluate healthcare arrangements within the private care sector as they relate to TRICARE program requirements • Perform detailed analysis of contractor proposals, beneficiary populations, medical loss ratios (MLRs), capitation rates, bundled payment models, and provider readiness • Provide technical and analytical expertise to support the evaluation, implementation, and performance monitoring of pilot programs and demonstration initiatives within the TRICARE Health Plan • Translate complex analytical findings into actionable insights to inform policy, program performance, and operational improvements