【Media DX】Data Scientist

【ABOUT THE COMPANY】

■"AI domain," which uses AI technology to optimize advertising operations to the ultimate level.
From R&D of AI in advertising to the implementation of products.
Specifically, development of products that use AI to automatically optimize bidding and allocation among media for managed advertising, and prediction and automatic generation of advertising creative (copy, banners, etc.) effects are some examples.
Offer unique products and technologies to the advertising industry, developed from full scratch from the AI engine to the application.

■"Marketing DX area" to create new value in the consumer interface market
Through the evolution of technology, the company seeks to create and provide new value as a "consumer interface market" by understanding the needs of individual consumers, including their life issues, family issues, and the social issues that lie behind these issues.
Based on the premise of developing and providing services necessary for consumers, engineers join with sales and marketing staff to design services, and conducts all in-house production, including the development of web applications, smartphone applications, LINE mini-applications, desktop applications, etc., as well as authentication infrastructure and library development across services, infrastructure construction, and maintenance and operation.

■"Media DX Domain": Realization of "AaaS," a next-generation model for the advertising media business
The Group is promoting innovation in the advertising domain under its "Advertising as a Service (AaaS)," a next-generation model for the advertising media business, as the DX of the advertising industry.
The Group aims to "transform advertising into a service" by moving away from the traditional business of selling "ad spaces" to a business that sells "effectiveness," the contribution to the advertiser's business, through the use of data, systems, algorithms, and human resources.

■"Information Systems Area" to promote the renewal of the Group's IT infrastructure and core systems
Responsible for the provision and maintenance of the IT environment, including the company group's business support, accounting, and other core systems, PCs used in business operations, smartphones, networks, and various communication tools, as well as the promotion of group IT governance, including information security measures. They are currently working with a sense of speed on the reforms that will support the growth of the group.

【JOB DESCRIPTION 】

■Responsibilities
・Predictive modeling of TV viewership and advertising effectiveness using big data/machine learning
・Algorithm development for media planning support solutions
・Media content development, such as TV program planning, using data/technology
・Joint development with external partners such as universities to advance AaaS solutions

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■Welfare
・Commuting allowance (up to 150,000 yen)
・Best Place to Work (Remote work available)
・Remote environment allowance (5,000 yen/month)
・Secondary employment system is available
・Subsidies for books, certifications, etc.
・Company defined contribution pension plan
・Insurance: unemployment insurance, workers' accident compensation insurance, employee pension, and health insurance
・Original health care solution to be introduced for mental/stress checks

■Holidays / Vavations
・125 days per year
・2 days off per week (Sat. and Sun.), national holidays
・Year-end and New Year vacations (December 29-January 3)
・Paid leave
・Maximum of 30 days + 7 days of special leave (1 plastic leave per month)
・Granted from the date of hire/set individually depending on the month of hire
・Special vacation (free vacation twice a year: 5 consecutive working days off)
・Celebration or condolence leave, maternity/childcare leave, nursing care leave, other systems

【Required】
*Meet all of the following
Experience in any of the following
・Machine learning modeling/optimization/stochastic statistics implementation skills in Python.
・Data extraction/aggregation skills using BigQuery, etc.

【Preferred】
Experience in any of the following
・Experience in data analysis competitions such as Kaggle
・Experience in advanced prediction/classification/generative modeling using DeepLearning
・Experience in building ad effectiveness logic
・Experience analyzing media data such as digital advertising
・Experience in platform data analysis
・Experience or interest in application development and data visualization