ㆍ경력 : 경력 3년 ~ 20년
업무내용[ The Impact
You'll Be Contributing to Company ]
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 Demand Side Platform (DSP) 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 Company 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.
필요요건
• 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.
우대사항
• 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.
경력 연수 3년 이상 ~ 20년 미만
인재직무 키워드 1순위 : 데이터사이언티스트 2순위 : 데이터분석 3순위 : 확률통계
필요 외국어 영어
최종학력 학사이상
근무지 서울 - 강남구 ( 서울특별시 강남구 테헤란로 231 )
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