• Develop Data Science solutions with a predictive and prescriptive focus, involving machine learning models (supervised and unsupervised) and optimization techniques that meet the business's strategic needs; • Execute the stages of a DS solution lifecycle: from business understanding, study, feature engineering and variable preparation, to model building and performance validation, providing the necessary support to deploy developed solutions to production; • Design, together with business areas, the use and monitoring of models, ensuring that predictions and prescriptions generate real and recurring value; • Identify opportunities to apply Generative AI and NLP as accelerators or analytical complements in day-to-day solutions.

• Work within a data organization structured into specialized fronts: Data Engineering, Analytics, Data Intelligence (AI), DataOps, Architecture, and Governance, acting as the link between PMs and technical squads; • Partner directly with the PM/Data Product and DataOps leadership to ensure deliverables have clear scope, success metrics, and visibility across the organization; • Serve as Product Owner within the area, responsible for keeping the backlog healthy, ensuring requests are well defined and deliveries are traceable end-to-end; • Support the PM in prioritizing and refining the data roadmap based on business impact and squad capacity; • Ensure intake requests are well defined before entering the backlog, with acceptance criteria, mapped data sources, and clear owners; • Create and maintain epics and tasks in Monday.com Dev, ensuring traceability between stakeholder requests and technical delivery; • Facilitate refinement ceremonies with squads, even in a model without formal sprints; • Act as the primary guardian of the area’s operational metrics: average cycle time, on-time delivery rate, backlog aging, post-delivery NPS, and rework rate; • Support DataOps leadership with visibility into capacity, bottlenecks, and SLAs per front; • Build and maintain delivery tracking dashboards so any stakeholder can understand the status of their requests; • Conduct periodic metric reviews with the PM and front-line leaders; • Proactively communicate progress, impediments, and deadline changes; • Support the PM in roadmap review ceremonies and monthly retrospectives; • Ensure delivered data products have minimum documentation, validated acceptance criteria, and identified business owners; • Identify opportunities to reuse analytical assets and propose process improvements to the PM.

• Desenvolver soluções técnicas para novas features e sustentar funcionalidades já existentes; • Desenvolver e implementar modelos de Machine Learning e Inteligência Artificial; • Atuar com modelagem, tratamento, transformação e governança de dados; • Criar datasets e análises para responder perguntas estratégicas do negócio; • Desenvolver dashboards e relatórios interativos no Power BI; • Definir e acompanhar KPIs e métricas de negócio; • Garantir performance, escalabilidade e qualidade das soluções e dados; • Apoiar decisões estratégicas e operacionais por meio de análises orientadas a dados.

Role Description At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We’re looking for a knowledgeable Data Scientist - Product Analytics to support decision-making for our product teams. This role will be leveraging the rich data captured by over 200M+ learners and thousands of instructors engaging on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Product Managers (PMs) who own parts of Coursera’s educator or learner experience. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive innovative product development. - Develop an understanding of Coursera’s products, business, and learners to tie insights and analysis to actionable recommendations. - Analyze the results of A/B tests and conduct deep dives on our learner and product experiences. - Create dashboards and set up systems and tools for tracking product metrics. - Create leverage by enabling Product Managers to better self-serve data on their product area. - Present findings and recommendations to product teams and cross-functional partners in a clear and concise manner. Qualifications - Background in economics, statistics, data science, computer science, or a related technical field. - 3+ years of experience as a data scientist, data analyst, or business intelligence analyst. - Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R). - Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau). - Excellent communication skills, with the ability to translate complex data findings into actionable insights. - Strong attention to detail and the ability to manage multiple projects simultaneously. Requirements - 5+ years of experience using data to advise product, marketing, or business teams. - Advanced proficiency with SQL and Python to produce clear and actionable insights. - Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows. - Familiarity with online education platforms, specifically with platforms like Coursera and Udemy. Compensation The starting base pay for this role is between $113,600 CAD and $142,000 CAD. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role is also eligible for bonus, equity, and benefits.