• Define and execute the roadmap for the Data Intelligence Platform, in close relationship with Actian CPO, moving beyond traditional metadata management into AI-native Data Products and Agentic Governance. • Manage and mentor a high-performing team of 5–8 Product Managers across Europe and the US, fostering a culture of technical excellence and rapid delivery. • Oversee the development of AI Agents that interact with data products, enabling conversational discovery and proactive data governance for CDOs. • Own the relationship with industry analysts (Gartner, Forrester). Your goal is to position Actian as a leader in Data Management and Governance categories. • Work hand-in-hand with the SVP of Product Engineering. You must be able to "speak engineer," understanding AI-driven development workflows and cloud-native architecture. • Act as the face of the product for Chief Data Officers and Data Governance leaders, helping them modernize their data stacks and transition from legacy systems to a unified AI-driven platform.

Title: Senior Data Scientist Locations: Remote (Canada) Remote (United Kingdom) Remote (United States) Remote (Germany) Remote (Brazil) Department: Sensor Research Job Description: NEW CAREER OPPORTUNITY Build your career with Kraken Robotics. Make a difference to others. If innovation drives you, and you want a career that makes a difference to the world, helping humanity overcome the challenges in our oceans – safely, efficiently, and sustainably – then come join us at Kraken Robotics. Kraken Robotics is currently seeking a Senior Data Scientist to join our team. This position can be Remote or working out of any of our Global Offices. Kraken’s Sensor Research Group (SRG) is dedicated to accelerating innovation in sensor technology through agile prototyping and hands-on experimentation. By rapidly exploring new concepts and technical pathways, the team aims to uncover opportunities and address potential limitations early in development—well before significant resources are committed to scaling or commercialization. The SRG also addresses urgent technology challenges, defects, and operational issues by leveraging in-house Subject Matter Experts to develop fast, field-testable solutions. This quick feedback loop helps refine or redirect development efforts efficiently. We are currently seeking a Senior Data Scientist with expertise in marine data processing. Experience with AI/ML techniques applied to sensor data is a strong asset. Kraken fosters a culture of collaboration, experimentation, and calculated risk-taking. Within the SRG, this translates to rapid prototyping, frequent iteration, and close engagement with operators to ensure solutions are grounded in real-world performance. The group values agility over perfection - quickly developing and testing ideas to learn what works, what doesn't, and where to go next. Roles and Responsibilities: - Develop, maintain, and execute strategic research initiatives within the Sensor Research Group. - Conduct hands-on R&D and prototyping across Kraken’s portfolio of underwater sensor systems, sonar processing, and machine learning-based analytics. - Identify innovation opportunities and assess emerging technologies in sensor processing and data analytics. - Enhance and expand Kraken’s data processing pipelines, workflows, and infrastructure. - Improve access to existing datasets and apply them to model training, validation, and broader team use in research and development efforts. - Contribute to the scientific community through collaborative research, conference participation, academic publications, and partnerships with universities. - Support business development through technical discussions with customers and contributions to proposal writing. - Participate in knowledge-sharing events, technical workshops, and cross-functional innovation discussions. Qualifications and Experience: - Education: Master’s / PhD degree in Computer Science, Applied Mathematics, or a related field, with a focus on data processing, machine learning, or sensor analytics. - Experience: - - 8+ years experience in research and development or industry - Experience with marine data processing - Technical Expertise: - - Experience in cloud infrastructure and scaling - Knowledge of marine geospatial data and related formats - Background in machine learning and large data processing - Proficiency in Python and C++ - Familiarity with GPU-accelerated computing and distributed data architectures - Knowledge of sensor fusion, sonar processing, sensor processing and data analysis, or other relevant technologies. - Familiarity with underwater environment dynamics and applications of underwater sensor systems. Preferred Skills: - Strong problem-solving and analytical abilities with a focus on innovation and practical application. - Proven ability to self-organize research efforts, including defining and pursuing ambitious technical objectives. - Comfortable working in a fast-paced, multidisciplinary, and highly collaborative environment. - Familiarity with agile development methodologies and rapid prototyping approaches. - Excellent communication skills for presenting technical findings and collaborating with both technical and non-technical stakeholders. - Effective at managing time and resources in support of evolving research priorities.

Title: Sr Data Scientist I Location: California - High Bluff remote type Hybrid Full time Job requisition id JR101059 Job Description: GROW WITH US: Tandem Diabetes Care creates new possibilities for people living with diabetes, their loved ones, and their healthcare providers through a positively different experience. We’d love for you to team up with us to “innovate every day,” put “people first,” and take the “no-shortcuts” approach that has propelled us to become a leader in the diabetes technology industry. STAY AWESOME: Tandem Diabetes Care is proud to manufacture and sell the Tandem Mobi system and t:slim X2 insulin pump with Control-IQ+ technology — an advanced predictive algorithm that automates insulin delivery. But we’re so much more than that. Our company’s human-centered approach to design, development, and support delivers innovative products and services for people who use insulin. Because many of our own team members live with diabetes, or have a loved one impacted by diabetes, the work is personal, and we are committed to the cause. Learn more at tandemdiabetes.com A DAY IN THE LIFE: A Sr. Data Scientist at Tandem uses machine learning and data science to improve Tandem’s ability to simulate physiology, design algorithms to manage diabetes, and assist with product-related decisions. This team member will use Tandem’s data assets to solve data-driven problems, improve operational efficiency through forecasting and automation, identify and prioritize opportunities to improve overall user experience, and improve business outcomes. A Sr. Data Scientist at Tandem also: - Participates in creating future closed-loop algorithms using complex data modeling. - Performs analysis of algorithms to satisfy requests from the FDA. - Identifies meaningful insights from large data sources; interprets and communicates insights and findings from analyses and experiments to product, service, and business stakeholders. - Uses data to provide unique insights and differentiated experiences for Tandem’s customers. - Supports the team in the development and/or implementation of data products or models. - Provides mentoring, training, and guidance to team members with less experience in data science, diabetes technology, and custom tools designed and used by the Algorithms and Insights Group. - Provides technical leadership and subject matter expertise in data science, including statistics, modeling, machine learning, and AI. - Collaborates and coordinates efforts with Tandem’s academic partners. - Attends industry and academic conferences to keep up to date with the state of technology. WHEN & WHERE YOU’LL WORK: Hybrid: This role will be a mix of in-office work at our corporate headquarters in Del Mar, CA and remote work. This position is expected to be in office 3 days per week but may vary depending on business demands. WHAT YOU’LL NEED: - Bachelor’s degree in computer science, statistics, or other quantitative discipline or related field or equivalent combination of education and applicable job experience. - Graduate education in a relevant field is preferred. - 5 years of related experience in data science. - Ability to travel up to 10%, including international travel. - Advanced knowledge of data science techniques: distribution fitting, multivariate statistics, stochastic modeling, time series modeling, design of experiments, Monte Carlo methods, robust statistics, sampling, segmentation, clustering, hypothesis testing, regression, forecasting, machine learning. - Experience deploying machine learning models using cloud platforms. - Programming skills in Python, or similar programming languages. - Skilled with data visualization: quickly and effectively “tell the data story;” draw from a large portfolio of visualization techniques to bring salient points forward to stakeholders for whom statistics may not be a core competency. - Ability to deliver actionable results in a collaborative environment. - Excellent pragmatic and data-driven problem-solving skills. - Strong attention to detail. - Demonstrated ability to learn and grow new skills. - Ability to think strategically and apply data science to develop offerings that provide unique differentiation. - Familiarity with big data technology (e.g., Hadoop, Spark), software engineering experience, and diabetes knowledge are a plus. - Ability to diagnose problems and identify and implement appropriate solutions. - Capable of managing multiple priorities effectively, estimating project timelines and identifying and recommending the best course of action from several alternatives. - Excellent verbal and written communication skills and flexibility to function in a fast-paced and innovative environment. COMPENSATION & BENEFITS: The starting base pay range for this position is $135,000 to $160,000 annually. Base pay will vary based on job-related knowledge, skills, experience and may also fluctuate depending on candidate’s location and the overall job market. In addition to base pay, Tandem offers a competitive compensation package that includes bonus and a robust benefits package. Tandem offers health care benefits such as medical, dental, vision available your first day, as well as health savings accounts and flexible saving accounts. You’ll also receive 11 paid holidays per year, a minimum of 20 days of paid time off (with accrual starting on day 1) and you will have access to a 401k plan with company match as well as an Employee Stock Purchase plan. Learn more about Tandem’s benefits here! YOU SHOULD KNOW: Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local Fair Chance laws and regulations. A conditional offer of employment from Tandem is contingent upon successful completion of a pre-employment screening process comprised of a drug test (excluding marijuana) and background check, which includes a review of criminal history information. Tandem has good cause to conduct a review of criminal history information of candidates for this position, as this role may involve access to proprietary, sensitive and/or confidential information, including customer protected health information. This review is required to ensure that individuals in such roles uphold high standards of trust and integrity so as to protect the interests of our customers, employees, and stakeholders. SPONSORSHIP: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. WHY YOU’LL LOVE WORKING HERE: At Tandem, we believe joy fuels excellence. That's why we've built a workplace that celebrates your achievements and supports your well-being. Our team thrives on pushing boundaries and fostering growth, all while maintaining a spirit of fun and camaraderie. This is just one of the ways we stay awesome! Explore the benefits and reasons to love Tandem at https://www.tandemdiabetes.com/careers. BE YOU, WITH US! We embrace the value that every single one of us brings to the table. But sometimes we forget that when we don’t meet 100% of a job description’s criteria – maybe you’re feeling that way right now? We encourage you to apply anyway. Because we want you to be you, with us. Tandem is firmly committed to being an equal opportunity employer and does not discriminate on the basis of age, disability, sex, race, religion or belief, gender identity or expression, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization, and we welcome applications from a wide range of candidates. Selection for roles will be based on individual merit alone. REFERRALS: We love a good referral! If you know someone who would be a great fit for this position, please share! APPLICATION DEADLINE: The position will be posted until a final candidate is selected for the requisition or the requisition has a sufficient number of applications. Make a move that matters. Join Tandem Diabetes Care, where we're turning challenges into triumphs every day and where your talents will help shape a healthier, happier tomorrow.

Athletics Statistician Location: Millett Hall time type Part time job requisition id JR104116 Job Title Athletics Statistician Department Athletics Communication JM Worker Type Temporary (Fixed Term) Pay Type Period Activity Pay Benefit Eligible No Job Description Summary The Athletics Statistician is responsible for recording live statistics at athletic events, serving as the official scorekeeper for both teams, and ensuring accuracy and compliance with league standards throughout each contest. Job Description Job Duties: - Recording statistics as events happen - Auditing stats with play-by-play - Preparing final stats for league records - Serving as official scorekeeper for both teams - Entering computer data - Preparing final and Mid-game summary reports for the media - Keeping up to date on changes in statistical scoring rules - Being involved in resolution of disputed calls Minimum Qualifications: - Basic knowledge of each specific sport Knowledge, Skills, & Abilities: - Ability to stay calm under pressure - Good observation skills Additional Position Information (if applicable) Required Application Documents Resume Special Instructions (if applicable) None Additional Information A criminal background check is required. All campuses are smoke- and tobacco-free campuses. This organization participates in E-Verify. Remote Work For positions that are approved for remote work: Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami University at any time for any reason, including the convenience of the University. Miami University Values Statement Miami University is a scholarly community whose members believe that a liberal education is grounded in qualities of character as well as of intellect. We respect the dignity of other persons, the rights and property of others, and the right of others to hold and express disparate beliefs. We believe in honesty, integrity, and the importance of moral conduct. We defend the freedom of inquiry that is the heart of learning and combine that freedom with the exercise of judgment and the acceptance of personal responsibility. For more information on Miami University’s mission and core values, please visit the Mission and Core Values webpage. Equal Opportunity/Affirmative Action Statement Miami University, an Equal Opportunity/Affirmative Action employer, encourages applications from protected veterans and individuals with disabilities. Miami University prohibits harassment, discrimination and retaliation on the basis of age (40 years or older), color, disability, gender identity or expression, genetic information, military status, national origin (ancestry), pregnancy, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices.