【Google】Business and Marketing Data Scientist, gTech Ads (Japanese, English)
仕事内容
Responsibilities
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with knowledge of Machine Learning (ML) and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
Collaborate with Product/ Engineering teams to increase and optimize capabilities of our Applied Data Science (DS) team, employ methods which create opportunities for scale, proactive help to drive innovation.
応募資格(必須経験など)
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
Ability to communicate in Japanese and English fluently to support client relationship management in this region
Preferred qualifications:
Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
Experience in data extraction and modeling tools (SQL, Python) and a good understanding of the statistical algorithms typically used in Marketing Analytics.
Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with a good understanding of the AI/ML and statistical methods typically used in marketing analytics.
3 years of experience in a data science or related field.