Role Description The Business Intelligence & Analytics (BIA) CoOp will support the BIA team in delivering data-driven insights that enable a well-informed, analytics-led marketing strategy. The CoOp will contribute to the development of advanced dashboards, reporting, and predictive models, as well as perform exploratory data analysis to uncover trends and opportunities. Through this hands-on work, the CoOp will help power marketing campaigns designed to increase donor engagement and revenue for Public Media stations across the United States. This role offers practical experience applying analytics to real-world marketing challenges while collaborating closely with analysts, data scientists, and marketing stakeholders. - Data analysis and report development - Weekly support of CRM data and reporting requests - Predictive model support and development - Data quality reviews and data validation Qualifications - Thorough and detail oriented with excellent follow-up skills - Knowledge of database principles and data science - Able to juggle multiple tasks and competing priorities in a fast-paced environment - Able to follow instructions and work independently when needed - Flexible and can switch gears quickly - A team player with great interpersonal and communication skills Requirements - 0 – 1 years relevant experience in data analysis, predictive modeling and/or data analytics - Foundational understanding of SQL and database design - Proficiency with Microsoft Office Suite: Excel, Word, Outlook, PowerPoint - Excellent written and verbal communication skills - Excellent multitasking, time management and organizational skills - Solid critical thinking and problem-solving skills - Education: Bachelor's degree candidate - Duration: six months, Full Time (32+ hours per week) Company Description CDP, a Boston-based public benefit corporation, uses the collaborative fundraising model to improve the operational efficiency and revenue generation capacity of the public media system. CDP currently provides more than 230 NPR and PBS stations with outsourced marketing, data analytics, fundraising, and technology services. These services help stations raise more net income, grow their donor files faster, lower their fundraising costs, and free up development talent allowing stations to better focus on local engagement. Since its inception as a business unit with the WGBH Educational Foundation and subsequent evolution to a freestanding entity, CDP has driven $150 million in incremental net value back to stations and has become the most widely adopted station service in the history of public broadcasting. Just as CDP is committed to supporting public media organizations around the country, we are equally committed to supporting each of our team in their own professional development. For more information visit www.cdpcommunity.org .

• Design, develop, and deploy machine learning models for real-world production use cases • Analyze large and complex datasets to extract insights that inform model development and optimization • Build end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment • Collaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirements • Implement model monitoring, performance tracking, and retraining strategies • Optimize models for scalability, performance, and reliability in cloud-based environments • Ensure data quality, reproducibility, and adherence to best practices in ML development • Translate machine learning outcomes into clear, actionable insights for technical and non-technical audiences • Contribute to improving ML standards, tools, and best practices across teams • Mentor junior data scientists and machine learning engineers

• Design, develop, and deploy machine learning models for real-world production use cases • Analyze large and complex datasets to extract insights that inform model development and optimization • Build end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment • Collaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirements • Implement model monitoring, performance tracking, and retraining strategies • Optimize models for scalability, performance, and reliability in cloud-based environments • Ensure data quality, reproducibility, and adherence to best practices in ML development • Translate machine learning outcomes into clear, actionable insights for technical and non-technical audiences • Contribute to improving ML standards, tools, and best practices across teams • Mentor junior data scientists and machine learning engineers

About Brillio Born digital in 2014, Brillio is a powerhouse of digital transformations. Orchestrated around the superpowers of technology – Cloud, AI, Mobile, IoT, we are a partner of choice for leading companies around the world, helping them leverage digital technologies. We have a global workforce of 6000+ people present in 15 locations across 6 countries – USA, Canada, Mexico, UK, Romania, and India. We have been consistently certified by Great Place To Work® institute in USA, India, UK, and Romania for our strong foundational values and employee-centric culture. Brillio Romania We are a dynamic and rapidly growing company with over 250 colleagues country wide and offices in Cluj, Oradea and Bucharest. With its fast-paced growth, the company has consistently demonstrated an unwavering commitment to client satisfaction. At Brillio Romania, we know our success comes from the innovative contributions and brilliant work of our people. So, we make fostering a positive work environment our top priority. Our colleagues not only thrive, but they also have the chance to build long and fulfilling careers, fostering a sense of stability and dedication that ultimately benefits both the company and our valued clients. Accelerate YOU at Brillio!! The Data Scientist develops and deploys advanced analytics and machine learning solutions on Azure, with a focus on image processing and computer vision use cases. The role combines modeling, experimentation, and production deployment. Key Responsibilities - Build and deploy ML and CV models using Python. - Work on image processing use cases (classification, detection, anomaly detection). - Perform feature engineering, model training, and evaluation. - Collaborate with Data Engineers on scalable ML pipelines. - Deploy models using Azure ML and Databricks. - Communicate insights and results to technical and business stakeholders. Required Skills & Experience - 4-6 years of experience in data science or applied ML. - At least 1 year of hands‑on image processing / computer vision experience. - Strong Python skills and ML libraries (Pandas, NumPy, Scikit‑learn). - Experience with PyTorch or TensorFlow. - Hands‑on experience with Azure ML and/or Databricks. - Solid understanding of statistics and model evaluation. - Nice to Have: Exposure to Foundry, Experience deploying CV models to production, Familiarity with MLOps concepts. Perks and Benefits · We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest. · Access to learning through our internal platform - Percipio. · Private health insurance is provided by Medicover. · Work from home fixed monthly budget. · A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform. · Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports. Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian!