게임 유통 커머스 서비스업 기타 Data Scientist
페이지 정보
작성자 관리자 댓글 0건 조회 877회 작성일 23-05-31 11:09본문
Staff Data Scientist
기업소개모바일 광고 기반의 머신러닝 솔루션 기업으로서 지난 2013년에 YouTube 알고리즘을 개발한 창업한 이후 매년 100% 이상의 매출 성장을 이룩하는 등 모바일 광고기술 분야에서 대표 기업으로 자리 잡았습니다.
한국인이 실리콘밸리에서 창업한 ML/AI기업 중에서 첫 유니콘으로 선정되었으며, 최근 Google/Meta와 함께 세계 5대 광고 네트워크로 선정되는 등 기술력을 인정받습니다.
또한 1억 5000만달러 투자 유치, 한국의 마케터상, 구글 클라우드 고객어워즈 수상, 코리아 대표 AI 스타트업 선정, 과기정통부 장관상 등 국내외적으로 공식적인 인정까지 받고 있습니다.
본사인 실리콘밸리를 비롯하여 샌프란시스코, 시애틀, 런던, 싱가포르, 도쿄, 북경, 서울에 오피스를 두고 있으며, Global IT업계 출신의 Top급 인력 300여명이 성공 로켓에 함께 하고 있습니다.
앞으로 MOLOCO는 모바일광고기술 분야를 비롯한, E-Commerce, 물류. 미디어, 공장자동화 등 Data를 통한 수익화가 필요한 산업 전분야에 독보적인 당사의 머신러닝 기술을 확대하기 위해 노력하고 있습니다.
한국인이 실리콘밸리에서 창업한 ML/AI기업 중에서 첫 유니콘으로 선정되었으며, 최근 Google/Meta와 함께 세계 5대 광고 네트워크로 선정되는 등 기술력을 인정받습니다.
또한 1억 5000만달러 투자 유치, 한국의 마케터상, 구글 클라우드 고객어워즈 수상, 코리아 대표 AI 스타트업 선정, 과기정통부 장관상 등 국내외적으로 공식적인 인정까지 받고 있습니다.
본사인 실리콘밸리를 비롯하여 샌프란시스코, 시애틀, 런던, 싱가포르, 도쿄, 북경, 서울에 오피스를 두고 있으며, Global IT업계 출신의 Top급 인력 300여명이 성공 로켓에 함께 하고 있습니다.
앞으로 MOLOCO는 모바일광고기술 분야를 비롯한, E-Commerce, 물류. 미디어, 공장자동화 등 Data를 통한 수익화가 필요한 산업 전분야에 독보적인 당사의 머신러닝 기술을 확대하기 위해 노력하고 있습니다.
JD(채용공고)
업무내용[ The Impact You'll Be Contributing to Moloco ]
Data Science and Analytics (DSA) is a global team of data scientists and analysts. 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.
[ Here’s what you’ll be working on ]
You will work on various data science projects including:
• 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 experimental 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
Data Science and Analytics (DSA) is a global team of data scientists and analysts. 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.
[ Here’s what you’ll be working on ]
You will work on various data science projects including:
• 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 experimental 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
필요요건• 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 (industry or postgraduate) 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 the 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 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.
• 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.
• 8+ years of work experience (industry or postgraduate) 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 the 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 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.
• 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.
우대사항• Ph.D. degree 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 completing delegated tasks.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• 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 completing delegated tasks.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
나이 조건 35세(1989년생) ~ 50세(1974년생)
경력 연수 10년 이상 ~ 20년 미만
최종학력 석사이상
근무지 서울 - 강남구 ( 역삼 센터필드 8층 )
출근 유연제 있음
스톡옵션여부 있음
별도테스트 있음
이력서 검토시기 수시검토
댓글목록
등록된 댓글이 없습니다.
