Staff Data Scientist Manager, Moloco

• Master's degree in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent research experience
• 8+ years of work experience in data science related fields
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively
• Ability to build positive relationships within DSA and with our stakeholders, and work effectively with cross-functional partners in a global company
• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models
• Machine Learning: must have deep understanding of ML algorithms (i.e. deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and its development, validation, and evaluation
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr) are required
• 2+ years of tech lead (TL) or tech lead manager (TLM) experience leading multiple multi-quarter data science projects, supervising data scientists while interacting with partner Eng, Biz, and Product stakeholders

Desirable

• As a staff data scientist in DSA, you will derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution
• Data Analysis and research: analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve Moloco’s complex ML and bidding system
• Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling
• Experimentation and Causal Inference: developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making
• As a Tech Lead Manager (TLM), you will also:
• Build and manage a team of talented data scientists with the ability to not only keep up with, but also pioneer, in this space
• Collaborate with leadership so that your team's work directly impacts company strategy and direction
• Communicate with other engineering teams to build the best mobile advertising platform in the world
• Working cross-functionally with business and technical teams to support campaign management and team communication