JOB ID 23922

Data Analyst - AI Technology Development

  • Logistics & Transportation, Transportation, Trafic
  • IT, Data Analyst
  • Tokyo
  • ¥9,000,000~¥12,000,000

It is a company that develops mobility-related services and promotes the digitalization of transportation and mobility.
Utilizing its proprietary apps and platforms, the company offers a variety of services, primarily a cab dispatch service.
is one of only a dozen unicorn companies in Japan, and is co-creating new mobility services with a variety of companies.

We are entrusting you with the creation of hypotheses, the execution of data-based decision-making processes such as data collection, analysis, visualization, and automation, and the planning of data strategies in order to dramatically evolve familiar transportation systems through the use of big data on transportation information generated by various mobility services. This is a central role in forecasting the future of the business by analyzing data to better understand the users and transporters of mobility services, evaluating measures that affect demand and supply, and properly handling uncertainty.

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Job Description

  • Responsibilities
    Data-driven approach to solving ambiguous and difficult business problems:
    - Formulate hypotheses and analytical direction:
    - Implement data science methods such as modeling, analysis, experimentation, and simulation:
    - Share analysis with business units and support decisions on business direction:

    ■ Problem to be solved:
    - Modeling and estimation of long-term user behavior: - Assessing the health of unit economics to manage sales and costs at the user level and estimating parameters for improvement: - Simulation of effectiveness of measures to address supply capacity: Modeling and estimation of long-term user behavior
    ・Health assessment of unit economics to manage sales and costs at the user level and estimation of parameters for improvement
    ・Simulation of effectiveness of measures to address supply shortages
    ・Analysis of the relationship between customer experience and retention/leaving considering location, time zone, weather, service usage intentions, etc.

    ■Development environment
    Programming languages: Python, R
    Libraries: pandas, statsmodels, lightgbm, pymc, econml, dowhy
    Database: BigQuery
    Visualization: plotly, Kepler.gl, Looker
  • Requirements
    Experience in analytical work using regression, classification, and clustering methods
    - Experience in developing and operating ad hoc analysis, model creation, and data processing batches using SQL, Python, R, etc.
    - Knowledge of statistics, mathematics, and computer science at a college level
  • Preferred
    Experience using advanced SQL such as user-defined functions and performance tuning
    ・Practical experience in effectiveness testing such as AB testing
    ・Practical experience in implementing prediction, judgment, and classification systems for static and time-series data using machine learning
    ・Practical experience in modeling uncertainty and causal relationships such as Bayesian modeling and statistical causal inference Practical experience with Bayesian modeling, statistical causal inference, and other methods for modeling uncertainty and causal relationships
    ・Experience using BI tools such as Tableau and Looker
    ・Practical experience in analytical work for marketing, sales, business planning, and other non-systems departments
    ・Experience in business strategy planning
  • Location
    Tokyo
  • Work Style
    Remote working possible, Flex working possible
  • Salary
    ¥9,000,000~¥12,000,000
  • Attractive
    Points
    No relocation, Weekends and holidays off, Preparing for IPO, Major corporation, Venture Company, New businesses and services

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