Data Scientist

About this role

This position serves as the data scientist dedicated to a specific business domain within ABEMA. The role covers the full process from defining business issues and designing analyses to proposing strategies and tactics, designing experiments, validating their effects, and applying findings to business decisions and product improvement.

Example responsibilities include designing and evaluating experiments for advertising placements and optimizing advertising delivery in the promotional marketing domain. In the recommendation-system domain, the role includes defining key performance indicators for long-term business improvement and designing and evaluating A/B tests for algorithm improvement initiatives.

ABEMA is a video-streaming media service established in 2016 through joint investment by TV Asahi and CyberAgent. It provides news, sports, anime, variety programming, dramas, reality shows, original content, and live sports, combining real-time delivery with on-demand viewing. The role supports analysis and experimentation using large-scale data from a service used by tens of millions of users each month. The posting also describes close interaction with decision-makers, allowing analytical findings and meeting discussions to inform business decisions, as well as collaboration with AI Lab and external research institutions.

Required experience includes extracting and processing data with SQL and conducting data analysis with R or Python. Welcome skills include systematic knowledge of causal inference, statistics, or machine learning; experience designing and evaluating A/B tests; data analysis experience in marketing; data analysis experience in search or recommendation; and knowledge of or experience with cloud services such as GCP or AWS.

The posting favors candidates who can discuss business hypotheses and questions through experimentation, structure ambiguous business issues into solvable problems, enter business discussions and propose solutions through proactive communication, support or challenge organizational assumptions with reproducible evidence, explain results clearly, and return insights from experiments and analysis to the organization.

The role is listed as full-time and is based at the Tokyo headquarters in Shibuya, Tokyo. The standard schedule is 10:00 to 19:00 with a one-hour lunch break. The working arrangement is generally three days in the office and two days remote per week. Salary is discussed and determined under company rules using experience and ability; the position uses an annual salary system and reviews the annual salary twice a year based on performance. The posting states that the final hiring outcome may be either permanent or contract employment after considering skills and experience during selection.

Benefits stated in the posting include salary reviews twice yearly, social insurance, commuting allowance, housing assistance, an employee shareholding plan, condolence payments, subsidies for internal social events and clubs, new-business creation programs, and a career challenge system. The housing program provides 30,000 yen per month to eligible permanent employees living within two train stops of the nearest office station, or 50,000 yen per month to permanent employees with five or more years of service regardless of residence. Indoor smoking is prohibited, with a designated smoking space provided.