• Data skills made easy • 100% online, practice-oriented and flexible — ideal for a career restart or your next career step • In 6, 8, or 12 months you will learn everything you need to get started — with a recognized IHK certification and practical skills in Excel, SQL, Power BI, and Python

• Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency. • Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. • Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions. • Look at complex problems and come up with testable models and algorithms that have measurable business impact. • Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.

• Explore large-scale event data to identify trends, patterns, and anomalies • Generate insights/ideas, evaluate campaigns’ performance • Support decision-making based on findings • Design, implement, optimize and test algorithms for CPA optimization • Build and refine predictive models to improve decisions for CPA campaigns • Ensure alignment with business objectives • Work closely with product/business/tech teams to turn technical findings into actionable decisions • Conduct and evaluate A/B tests to assess the impact of algorithm changes • Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders

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 believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We’re looking for an experienced Data Scientist to support decision-making for our content-making partners and innovate how AI tools can help us do this more efficiently. This role will be leveraging the rich data captured over a hundred million 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 Account managers who own the relationship with our content partners and are responsible for helping them grow. 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 product and business outcomes. Responsibilities - Create dashboards for tracking business metrics. - Analyze the results of A/B tests on our product experience. - Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations. - Create leverage by enabling stakeholders to better self-serve data on their product area. - Present findings and recommendations to leadership in a clear and concise manner. Qualifications - Background in economics, statistics, data science, computer science, or a related technical field. - 2+ years of experience as a data scientist, data analyst, or business intelligence analyst. - Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau). - Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R). - Excellent communication skills, with the ability to translate complex data findings into actionable insights. Preferred Qualifications - Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows. - 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. - Familiarity with online education platforms, specifically with platforms like Coursera and Udemy. Compensation Our job titles may span more than one career level. The starting base pay for this role is between $120,000 CAD to $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 may also be eligible for bonus, equity, and benefits.