Applied Scientist II

Applied Scientist II Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** We are looking for an Applied Scientist to join our team to solve interesting and impactful business problems in the domain of marketing analytics and ad tech. Ideal candidates need to have strong curiosity on data, and demonstrable ability to successfully apply rigorous scientific methods with proficiency in data analytics knowledge and technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business. **What the Candidate Will Do** 1. Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings 2. Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc 3. Use models to address key growth challenges and provide meaningful insights on problems in Channel Optimization including user value modeling, bidding optimization, targeting optimization etc 4. Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations. 5. Use large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more 6. Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc **\-\-\-\- Basic Qualifications ----** 1. Master’s degree in Statistics, Operations Research, Math, or another quantitative field. 2. Relevant experience in machine learning, optimization and advanced analytics 3. Expertise with Python 4. Advanced SQL skills - comfortable working with very large data sets **\-\-\-\- Preferred Qualifications ----** 1. Experience with big data using technologies like Hadoop, Hive, and Spark a plus 2. Previous experience in advertising tech (e.g. market response mode