• Own analytics across Pinwheel’s product suite, focusing on conversion optimization and understanding customer and platform-level implementation patterns that drive success • Proactively identify trends, opportunities, and anomalies in product metrics—not just answering data questions; asking better ones • Develop metrics frameworks and KPI dashboards to monitor product performance, conversion funnels, and integration health across hundreds of partners • Partner with EPD and GTM teams to translate insights into action, informing product improvements and go-to-market narratives • Build a deep understanding of customer segments, product placement, and configuration performance to inform best practices for our partners and customers • Enable Sales and Marketing with case studies and metrics that highlight success factors across high-performing customers and integrations • Partner with Engineering and Data teams to ensure proper instrumentation, metric definitions, and data model design

About us At Pomelo Care, we are redefining the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support—from the first steps of family building and the complexities of pregnancy to the nuances of postpartum, pediatric, and midlife care. We aren't just a clinic; we are a multidisciplinary engine of clinicians, engineers, and problem-solvers dedicated to closing the gaps in traditional care. By leveraging a high-touch, technology-driven platform, we identify risks early and deliver deeply personalized, 24/7 virtual care. We are here to prove that better data and patient-centered care lead to better outcomes, raising the standard of care for families nationwide. Role Description Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies. We're looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey. Specifically, you will: - Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy - Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment. - Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team - Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations - Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey. - Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact - Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development Who you are You are a product-minded data scientist and innovative problem solver who thrives on building solutions that directly impact patient lives, and excited to work at a startup. Specifically, - You have 4+ years professional experience in data science, product analytics, or data engineering - You have 1+ years professional experience working in healthcare, consumer health, or high-touch consumer products - Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack - Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis - Passionate about improving maternal health outcomes and creating exceptional patient experiences - Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems - Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert - A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences - Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase) - Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake) Bonus points if you have any of the following - Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications - Background in healthcare AI, clinical decision support, or medical NLP Why you should join our team By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We also offer: - Competitive healthcare benefits - Generous equity compensation - Unlimited vacation At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $180,000 to $210,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash. Potential Fraud Warning Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information. Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com. If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.

• Interprets data, analyzes results using statistical techniques • Develops and implements data collection systems and data analytics strategies • Acquires data from primary or secondary data sources • Identifies, analyzes, and interprets trends or patterns in complex data sets • Filters and cleans data by reviewing the data and leveraging performance indicators • Works with management to recommend and prioritize business and information needs • Locates and defines new process improvement opportunities based on data analyses

Country: Ukraine Brand: Robot_Dreams Request type: Planned No. of lecturers required: 1 Lecturer type: Lecturer Line item: UA_C PLUS PLUS FOR EMBEDDED SYSTEMS Course type: New product SKU: CPPES-RDCC Priority: Medium MC start date: 2026-07-22 Course start date: 2026-10-01 Course duration (weeks): 12 Number of lessons: 24 Target audience: Middle/Senior Backend Developer, Junior/Middle Embedded, Robotics, IoT Developer Target industry: В основному ІТ, трішки - оборонна промисловість Course brief: https://docs.google.com/document/d/1EBuX4x9L3S_AalRnqi_0L8EThbiuzqS9irut1Lh-fZY/edit?usp=sharing Must-have skills: **- Досвід роботи з Embedded-системами (мікроконтролери) - Впевнене володіння C++ (включаючи C++11/14/17) — не просто базовий рівень, а реальний комерційний досвід - Розуміння архітектури ARM Cortex-M (або подібних MCU) - Досвід роботи з RTOS (бажано FreeRTOS або Zephyr) - Практичний досвід роботи з периферією (GPIO, UART, SPI, I2C) - Навички дебагінгу: робота з GDB, JTAG/SWD або аналогами - Розуміння роботи з памʼяттю (RAM, Flash, stack/heap) в умовах обмежених ресурсів Простими словами: кандидат має вміти писати C++ для “заліза”, а не тільки для серверів** Must-have experience: **- Від 5 років комерційного досвіду в Embedded-розробці (Senior / Lead) - Досвід розробки firmware (прошивок) для реальних пристроїв - Бажано досвід роботи з STM32 або іншими популярними мікроконтролерами - Досвід роботи з інструментами типу GCC toolchain, CMake, OpenOCD**Certifications: FalseCertifications list: Сертифікації не є обов'язковими, але якщо є, то супер)Work/Industry experience: **Досвід участі у розробці реального embedded-продукту (від прототипу до релізу або production)Робота на позиціях типу: - Embedded Software Engineer - Firmware Engineer - Embedded Systems EngineerДосвід роботи з hardware + software одночасно**Preferred companies/industries: **Шукати кандидатів з досвідом у: - IoT (Internet of Things) - Embedded / Hardware-компанії - Automotive (автоелектроніка) - Robotics - Industrial / manufacturing systems - Consumer electronics (розумні девайси) - Miltech / hardware startups**Academic/Professional Background: **Технічна освіта (бажано, але не критично): комп’ютерна інженерія, електроніка, радіотехніка або еквівалентний практичний досвід.Важливіше за освіту: реальний hands-on досвід. Плюсом буде: досвід менторства / викладання / проведення технічних воркшопів** Language proficiency: Українська (+ англійська для читання документації Teaching type: Full course development Teaching experience: False Ideal candidate profile examples: - Stop factors: гемблінг, крипта, бетінг, компанії з рф або рб, Алкогольні та тютюнові компанії, Netpeak Group, Genesis (і компанії з їх груп) Lecturer's fee: 2500-3500 USD Additional information: **Можна переглянути список кандидатів, які були класні, але не почали з нами співпрацю (з різних причин) по суміжних курсах: - C PLUS PLUS FOR MILITARY TECHNOLOGY [Розробка на C++ для Military Tech] - IOT DEVELOPER - HARDWARE DESIGN ENGINEERING**Search geography focus: **весь світ **