
Senior Data Scientist, Ads Performance - Moloco Streaming Monetization
- 서울시
- 정규직
- 풀타임
- The MSM Data Science team tackles the most critical problems in the MSM business through a data-driven approach.
- As a senior data scientist, you will drive business growth by identifying opportunities, diagnosing issues, and shaping product direction through analytical thinking and scientific expertise.
- Data Analysis and Research: Analyze large-scale ad delivery and performance datasets to extract meaningful insights, separate signal from noise, and uncover opportunities to improve campaign effectiveness and targeting within Moloco's MSM ecosystem.
- Scientific Approach to Problem Solving: Use data-driven hypotheses and structured analysis to understand system behavior and improve campaign performance and delivery outcomes.
- 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).
- 5+ 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 3+ 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.
- Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail.