A Global Internet Services company is looking for a Senior Manager Data Scientist for their Technology Service Division. 

The ideal candidate will creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries. 

This role partners with internal and external teams to pioneering proper scientific use of data in launch decisions and that we are properly optimizing all trade-offs in product design. 

Responsibilities

- Influence key decisions on launches related to search, recommendation, and Ads product

- Understand the meanings of data and identify specific and actionable opportunities to solve existing business and product problems in search, recommendation, and ads product, and collaborate with engineering, research, and business teams for future innovation

- Build and grow a team of exceptional data scientist and data analyst and program manager (10 subordinates)

【Company Overview】

A major conglomerate serving 100 million customers in Japan and over 1 billion customers globally. Our client is a leader in e-commerce, payment, finance, telecommunications, media, and sports. 

【Working Hours】

9:00-17:30 (Mon-Fri)

Hybrid (basically 4 days a week in the office, 1 day a week at home)

【Holidays】
Saturdays, Sundays, holidays, year-end and New Year holidays, paid holidays, and other special holidays

【Services / Benefits】
Remote work system (4 days in the office, 1 day working from home)

Fully equipped with social insurance, transportation expenses provided, no smoking indoors (designated smoking areas), etc.

- Advanced user of data extraction and transformation tools (e.g Spark, python, SQL)

- Experience designing experiments, ab test, and ability to infer causal relationships

- Demonstrated experience leading a small to medium size team managing data scientist with an eye to driving efficiency

- Excellent verbal and written communication skills with the ability to effectively advocate data insight to research scientists, engineering teams and business audiences

- Previous experience partnering with cross-functional team across a globally distributed organization and exercising sound judgment