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벤처기업 | Senior Data Scientist

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포지션명	Senior Data Scientist
회사	벤처기업	직급
외국어		연령/성별	무관
진행절차	서류전형 -> 1차면접 -> 2차면접	마감일	채용시

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*Senior Data Scientist 업무내용• 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. 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. • 6+ 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. 우대사항• PhD degree in a quantitative discipline. • Ability to manage multiple projects at the same time while paying attention to detail and translate 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.

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*Senior Data Scientist

업무내용• 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.

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.
• 6+ 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.

우대사항• PhD degree in a quantitative discipline.
• Ability to manage multiple projects at the same time while paying attention to detail and translate 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.

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이름	신창호 전무(마)	이메일
전화		휴대폰

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