Role Description Tunnell has a contract opportunity available supporting the Division of Ophthalmic Devices (DOD) within the Center for Devices and Radiological Health (CDRH) at the Food and Drug Administration. A Vision Scientist is needed to conduct scientific and regulatory reviews to evaluate the safety and effectiveness of new ophthalmic devices. This is a remote position. DOD serves as the primary source for scientific and medical expertise on ophthalmic medical devices with regard to safety and effectiveness. The Division carries out scientific and end-to-end medical device review evaluation, including: - Coordinating and making premarket review determinations - Planning and coordinating post-market compliance and enforcement efforts related to medical devices Duties of the Vision Scientist may include but are not limited to: - Reviewing total product life-cycle actions (premarket, compliance, and post-market surveillance) related to ophthalmic devices. - Applying technical expertise to determine the adequacy of methodology, protocols, and data concerning bench, animal, and/or clinical testing. - Providing recommendations of submission clearance, approval, disapproval, or request for additional information. - Preparing comprehensive memos supporting recommendations and appropriate correspondence to applicants. - Assisting with developing, modifying, and evaluating guidelines concerning data required in medical device actions. - Presenting reviews, conclusions, opinions, and recommendations to appropriate scientific review panels. - Enhancing professional career development by collaborating with other scientists and keeping abreast of current events and findings. Qualifications - Solid background in basic and/or clinical visual psychophysics, visual optics, and optical instrumentation. - Background and experience in optics, optical design software, and manufacturing optical test equipment. - Research experience with human participants, including clinical trial design and management. - Experience in the manufacture, quality control, and validation/verification testing of ophthalmic optical devices. - Expertise in critically reviewing scientific documents and skill in clearly communicating review results. - Background in the following technical areas is highly desirable: - Visual Neuroscience - Neuroanatomy and neurophysiology of the retina and visual pathways - Visual electrophysiology (clinical and basic) - Functional imaging of visual pathways - Optics of the eye - Sources of retinal scattered light and its effects on retinal image quality - Retinal image quality as a function of eccentricity - Optics of photoreceptors - Light hazard analysis and mechanisms of light damage to the eye - Low Vision expertise in clinical psychophysical & optical testing. Requirements - Doctoral level degree (e.g., Ph.D., M.D., D.O.) in a relevant field is preferred; however, a M.S. in Life Sciences/Engineering discipline combined with extensive experience with ophthalmic devices may also be acceptable. - Minimum of 10 years’ experience in fields directly relevant to the Vision Scientist position. - Experience authoring and evaluating responses to and from Regulatory Agencies is desired. - Demonstrated capability of proficient written and oral communication. - This position is 100% telework. - Must be a US Citizen or full Green card holder. Benefits - Tunnell strives to hire and retain the most qualified talent. - We believe that having employees with different backgrounds and capabilities contributes to the success of our business. - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

• The Principal, Marketing Data Science builds the algorithmic and machine learning foundation that turns Empower’s marketing data into predictive, self-improving systems for growth. • This role owns the design and development of attribution models, AI-driven learning systems, and the algorithmic infrastructure that processes and activates marketing data at scale. • Traditional analytics and reporting remain part of the job, but the core of the role is hands-on model building.

Data Scientist – Customer Experience Role Summary This role focuses on hands-on analytical and data science work to uncover patterns, predict outcomes, and quantify drivers of customer experience and product support performance. The Data Scientist applies statistical analysis, machine learning, and experimentation to solve well-defined problems and support larger CX insight initiatives. This is a strong technical individual contributor role, partnered closely with senior analysts, data engineers, and business stakeholders. Key Responsibilities Applied Analytics & Modeling - Perform exploratory data analysis to identify patterns in customer behavior, service performance, and operational outcomes - Build statistical and machine learning models to support CX use cases such as issue drivers, service outcomes, and risk prediction - Develop and validate models using Python and enterprise ML platforms Data Preparation & Feature Engineering - Work with structured and semi-structured data from Snowflake, SAP, Salesforce, telephony systems, and enterprise data warehouses - Create reusable features and datasets to support repeatable analysis and modeling Insight Development - Translate analytical outputs into clear findings and visualizations in support of broader CX narratives - Partner with Senior Data Scientists, Data Engineers, and Business Data Analysts to support decision-oriented insights Responsible Analytics - Adhere to data governance, security, and regulatory requirements - Ensure analytical methods are transparent, well-documented, and appropriate for enterprise decision-making QualificationsMUST HAVES - 3+ years of hands-on experience in analytics or data science roles WE VALUE - Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field - Strong proficiency in Python for analysis and modeling - Solid SQL skills and experience working with large enterprise datasets - Experience with data visualization tools (Power BI and/or Tableau) - Experience applying ML techniques in CX, service, or operational contexts - Exposure to NLP, text analytics, or unstructured customer data - Familiarity with regulated or compliance-heavy data environments Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status BENEFITS OF WORKING FOR HONEYWELL In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. posted 5/11/2026 Honeywell is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. #AERO26

Role Description Somos uma empresa de tecnologia movida por nossa paixão por animais de estimação! 💜 Nosso trabalho diário é tornar a vida dos pais dos animais de estimação mais fácil por meio de uma experiência única de aprender, fazer compras e consumir o que eles precisam, a qualquer hora. Sempre centrado no que é melhor para a felicidade e saúde dos animais de estimação. A Petlove já é a maior empresa de tecnologia na indústria pet do Brasil. Recentemente, adicionamos ao nosso portfólio empresas estratégicas como DogHero, VetSmart, Vetus, Porto.pet e Provet para animais de estimação, a fim de perseguir nossa visão de criar o maior ecossistema de animais de estimação do Brasil. Temos muito orgulho de já ter atendido mais de 5 milhões de clientes em todo o país, mas ainda estamos famintos pelo que vem por aí (o Brasil tem mais de 48 milhões de domicílios com animais de estimação). Se você está procurando uma oportunidade única na vida, adora tecnologia e é realmente apaixonado por animais de estimação, somos perfeitos um para o outro! Qualifications - Previsão de formatura a partir de 12/2027 (período máximo de estágio: 2 anos) - Ter disponibilidade para estagiar 30h semanais (6 horas por dia em horário comercial) - Cursando Ciências da Computação, Engenharias, Sistemas de Informação ou correlatas - Noção básica em: SQL, Python, Git, Airflow e Power BI. Requirements - Fazer análise de dados; - Contribuir com a evolução do Data Warehouse; - Criar dashboards em Power BI; - Realizar o deploy de modelos/algoritmos desenvolvidos pelos cientistas de dados do time; - Auxiliar no desenvolvimento e na manutenção da infraestrutura de dados e pipelines; Benefits Quer saber mais sobre a Petlove e nossos benefícios? Não perca a chance de conferir nossa página de carreiras: https://petlove.jobs.recrut.ai/