Professional Service Data Scientist

PLAID

Data Science

Python

SQL

About this role

This role leads the data-science work in client data-utilization projects, covering support for data-platform construction, development of advanced analytical models, and validation of business initiatives. The work includes extracting insights from client data and connecting analysis to practical actions through KARTE.

Responsibilities include designing KPIs for marketing initiatives and evaluating A/B tests with statistical hypothesis testing. The role also builds dashboards and monitoring environments using BI tools such as Looker Studio, Tableau, and Codatum.

Using Python, R, and SQL, the data scientist performs exploratory data analysis and develops models for prediction, clustering, and recommendation. Machine-learning inference results are implemented in KARTE. The role also prototypes and puts into practical use customer-experience solutions that use generative AI and large language models.

The position supports integration between client data warehouses, including BigQuery, Databricks, and Snowflake, and KARTE. It also involves advanced SQL-based data transformation using ETL or ELT processes, construction of analytical data marts, data-quality management, and query-performance optimization.

The product context is KARTE and a modern data-stack environment. Model outputs can be delivered through KARTE as website pop-ups or application notifications, allowing the results of analysis to be evaluated through subsequent user responses. Client data may come from industries including e-commerce, finance, human resources, and media, with a focus on first-party data. The work is intended to support client organizations in building their own data-utilization culture, beyond one-off commissioned analysis.

The stated work location is the company headquarters in Ginza, Tokyo. The working style is hybrid, combining office attendance and remote work. The company may request a certain number of office days depending on company and team circumstances. The posting states that the business side currently generally attends the office three days per week.

This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.