Senior Data Scientist - Ads Performance

해당 포지션에 관심 있는 인재 분들을 위한 상시오픈 포지션입니다. 이력서를 등록해 주시면 몰로코 인재풀에 자동 등록되며, 새로운 채용 기회가 발생 시에 풀에 계신 분들이 최우선적으로 검토될 것입니다.

Expression of Interest: We are always interested in hearing from talented professionals who are thinking about their next move or looking for a new opportunity to join our expanding talent pool.

Interested? Start your journey with Moloco by submitting your resume for future consideration. If this position becomes available, we will contact you first.

The Impact You'll Be Contributing to Moloco:

Product Data Science (PDS) is the global team of data scientists whose mission is to provide data-driven insights to improve decision-making and design, resulting in best-in-class Moloco Streaming Monetization products and services. As a senior data scientist in PDS, 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.

The Opportunity:

• Data Analysis and Research: analyzing a large dataset with queries and scripts, extracting valuable signals from 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.

Minimum Requirements:

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
• 3+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 2+ years of experience
• 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 the ability to present information and analyze 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 a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation.
• Programming: experience with Python, R, or other scripting languages, and database language (e.g., SQL) or data manipulation (e.g., Pandas, Dplyr) are required.

Preferred:

• Advanced degree such as Master’s or PhD in a quantitative discipline.
• Ability to manage multiple projects at the same time while paying attention to detail and translating analysis results into business recommendations.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than complete delegated tasks.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.