Role Description UPMC Health Plan is hiring a Sr. Data Scientist to join the Artificial Intelligence team! This role may work fully remotely and must reside within the United States. The Senior Data Scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for healthcare programs. - Design, develop, and implement health care analytic and biomedical modeling programs. - Converse with and provide guidance on the selection and use of modeling software and programs. - Serve as a consultant to ensure coordination in systems planning, development, and implementation between utilization management and other areas needing reporting, development, information systems, and external organizations. - Implement plans for capturing and creating new data elements to support department needs. - Define methodologies for reporting and evaluate software requirements needed to support analytic reporting. - Identify staffing needs to enhance modeling and reporting abilities and participate in recruitment. - Collaborate with Health Plan and Health System data scientists, as needed. - Lead the development and deployment of advanced machine learning models. - Oversee the end-to-end data science process, from data collection to model deployment. - Mentor and guide junior data scientists and analysts. - Collaborate with senior leadership to identify and prioritize data science projects. - Communicate complex technical concepts to non-technical stakeholders. - If needed, create and/or maintain documentation of a data dictionary to ensure that data is used efficiently and effectively, to help promote better data governance, improve data quality, & enhance data management processes. Qualifications - Ph.D. or Masters degree in data science, Statistics, Computer Science, or a related field with 4 years of relevant experience OR a Bachelor's degree with 7 years of relevant experience. - At least 2 years post terminal degree strongly preferred. - Extensive experience in data science and machine learning. - Strong programming skills in Python, SQL, and other relevant languages. - Experience conducting bias and segmentation analysis preferred. - Experience in the health care industry is a bonus. - Proven ability to lead and manage data science projects. - Excellent communication and leadership skills. - Strong expertise building and deploying models on Azure cloud framework or other cloud frameworks. - Preferred skills include using Transformers, Large Language models, GenAI, or AI Agents. Licensure, Certifications, and Clearances - UPMC is an Equal Opportunity Employer/Disability/Veteran

Role Description Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognised as one of the leading technology companies in Romania. Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions. At Sedona, we: - Obsess about our customers - Build robust, scalable technical solutions - Create an open, collaborative culture - Invest in learning and long‑term careers We are looking for a Senior Data Scientist with strong experience across Azure data and AI services, capable of independently designing, building, and deploying machine learning solutions that drive business impact. Responsibilities - Design, develop, and deploy end-to-end machine learning solutions using Azure Machine Learning (Azure ML). - Build, train, evaluate, and optimize models using techniques such as classification, regression, and advanced analytics. - Collaborate with data engineers to define and consume curated datasets from Azure Synapse, ADLS, and Azure SQL. - Develop scalable feature engineering and model training pipelines. - Operationalize ML models using MLOps practices, including versioning, monitoring, and retraining strategies. - Translate business problems into analytical solutions and communicate insights clearly to stakeholders. - Work with large datasets using Python, SQL, and distributed processing frameworks. - Contribute to the design of analytics and AI architectures across Azure ecosystems. - Implement best practices for model explainability, reproducibility, and governance. - Support visualization and insight delivery through Power BI or similar tools. - Collaborate with product owners, engineers, and business stakeholders to drive data-driven decision-making. - Participate in client engagements, including discovery, experimentation, and solution design phases. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. - 5+ years of experience in data science, machine learning, or advanced analytics roles. - Strong hands-on experience with: - Azure Machine Learning (Azure ML) - Azure Synapse Analytics - Azure Data Lake / Blob Storage - Solid programming skills in Python (e.g., pandas, scikit-learn, PySpark). - Strong SQL skills and experience working with large datasets. - Experience building and deploying ML models in production environments. - Understanding of data pipelines and collaboration with data engineering teams. - Familiarity with Azure DevOps, GitHub, and version control best practices. - Ability to work independently and make pragmatic technical decisions. - Excellent communication skills in English, with the ability to explain complex concepts clearly. Preferred Skills (Nice to Have) - Experience with MLOps frameworks and model lifecycle management. - Familiarity with Databricks or distributed ML workflows. - Experience with experiment tracking and model monitoring tools. - Knowledge of CI/CD pipelines for ML solutions. - Exposure to design tools such as Miro or Figma for collaborative workstreams. - Experience working in regulated or data-sensitive environments. - Previous involvement in client-facing data science or discovery engagements. Key Tools & Technologies - Azure ML, Azure Synapse, Azure Blob Storage / ADLS - Azure DevOps, GitHub - Python, SQL - Power BI - Miro, Figma Benefits - Remote Work Flexibility - Opportunity to work in a rapidly growing scale-up organisation - Exposure to complex, global client engagements - Training on market trends and client needs - Ongoing learning and development opportunities - Competitive compensation package - Fun budget for team events

• Champion bold AI and ML interventions to improve our styling experiences. • Actively shape the product roadmap for direct client-facing styling experiences. • Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration. • Act as an advocate for Styling and Merchandising teams, empowering partners to understand trends. • Work with product managers, other data science teams, UI/UX designers, and business leaders. • Oversee the end-to-end algorithm development lifecycle, from ideation to deployment. • Identify and implement best practices for team collaboration, code quality, and data management. • Stay up-to-date with advancements in AI-assisted development, AI-enabled product experiences, and fashion technology.

Title: Staff Data Scientist, Growth Analytics Location: US - San Francisco Department: Engineering Job Description: About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team The Growth Analytics team at Airwallex is a dynamic group of data scientists and analytics professionals. We are passionate about leveraging data to drive business growth, optimize strategies, and unlock new opportunities across the company. As key partners to Growth, Marketing, Sales, and Product, our team works collaboratively to enable data-informed decision-making, experimentation, and scalable measurement frameworks supporting Airwallex’s global expansion. What you’ll do You will be the technical lead for the Growth Analytics team, working cross-functionally to identify growth opportunities, shape data science initiatives, and drive impactful strategies. You’ll mentor junior data scientists, partner with business stakeholders, and translate complex business questions into actionable analytic solutions. This role offers you the chance to help shape the next phase of Airwallex’s growth with data-driven leadership and innovation. This hybrid role is based in San Francisco or New York City. Responsibilities: - Act as a technical partner to Growth, Marketing, Sales, and Data Science leaders to develop and implement Airwallex’s growth strategy. - Lead and mentor the team in applying data science techniques—including root-cause analysis, statistical modeling, and experimentation—to unlock acquisition, activation, retention, and reactivation. - Design and implement robust, scalable measurement frameworks for data-driven decision-making across multiple teams. - Communicate complex data insights and recommendations clearly and persuasively to both technical and non-technical audiences, ensuring findings drive business impact. - Translate open-ended or complex business problems into structured, high-impact data science initiatives. - Mentor and coach junior data scientists, serving as the single-threaded technical owner on critical cross-functional projects. Who you are We’re looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - At least 7 years of industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred. - Proven experience mentoring or leading data science or analytics teams. - Strong communication and interpersonal skills; demonstrated ability to influence strategy in high-growth, cross-functional environments. - Track record of applying data science to drive measurable growth outcomes. - Technical proficiency with SQL and Python/R; experience in data modeling is a plus. - Experience in technology, financial services, or high-growth environments is advantageous. Preferred qualifications: - Experience mentoring teams in a fast-paced, startup, or fintech environment. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.