Job Openings Senior Data Scientist

About the job Senior Data Scientist

Data Scientist Data Science Hub

Our mission is to bring happy moments to over 100 Million Japanese customers in Tokyo, Osaka, Kyoto, and 35 other prefectures. We are the country's largest bottler and one of the largest in the World. We aim to create value from data, build new models of driving high growth in sustainable ways. We value learning, agility, and integrity, always aiming for results.

As Senior Data Scientist your role is to help us navigate toward this new World, your mission and success will be central to growth strategies.

What You'll Do

Within the Data & Digital teams new Data Science Hub, you will come first to shape how we forecast our future (demand, sales, trends) and to build or collaborate on impactful technologies. Our goal is to challenge and drive our Omnichannel strategy to engage with customers and shape the future of the beverage industry. We are looking for outstanding, experienced technical talent to design and create the algorithms and models to fuel our efforts.


Data Strategy

  • Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.


Data Source Planning and Architecture

  • Supports the understanding of the priority order of requirements and service level agreements.
  • Helps identify the most suitable source for data that is fit for purpose.
  • Extracts data, structures it, and performs initial quality checks.
  • Helps bringing it all together under a unified Data Warehouse.


Model Assessment & Validation

  • Identifies the model evaluation metrics.
  • Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.
  • Derive the most optimum models, especially on Demand Forecasting, Promotion Management and Optimization
  • Work with our external partners to deploy an end to end One Number approach of demand and planning. You will not only monitor the existing models but also work hand in hand with our internal and external partners to build the best forecasting strategies

Applied Business Acumen

  • Provides recommendations to business stakeholders to solve complex business issues.
  • Develops business cases for projects with a projected return on investment or cost savings.
  • Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
  • Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
  • Recommends new processes and ways of working.


Data Visualization & Dashboarding

  • Work closely with our Data Analysts team and external Demand Planning partner to automate large part of the reporting while providing optimized management dashboards.
  • Suggest the most appropriate approach to handling large volume of data within the appropriate type of visualization.


Problem Formulation

  • Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
  • Shares use cases and gives examples to demonstrate how the method would solve the business problem. It is critical to have some level of explicability of the models in order to adapt our business processes to it.


Analytical Modeling

  • Selects appropriate modeling techniques for complex problems, primarily on Demand Forecasting and Promotion efficiency, with large scale, multiple structured and unstructured data sets.
  • Selects and develops variables and features iteratively based on model responses in collaboration with the business.
  • Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
  • Identifies dimensions and designs of experiments and creates test and learn frameworks.
  • Interprets data to identify trends to go across future data sets. Creates continuous, online model learning along with iterative model enhancements.
  • Develops newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.
  • Guides the team and outsourcing partners on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets (for example, shelves pictures, streaming data, raw text data).

Model Deployment & Scaling

  • Work in solo or with the rest of the Data Science / Data Management teams in order to deploy models to production.
  • Continuously logs and tracks model behavior once it is deployed against the defined metrics.
  • Identifies model parameters which may need modifications depending on scale of deployment.

Code Development & Testing

  • Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.
  • Creates test cases to review and validate the proposed solution design. Creates proofs of concept.
  • Tests the code using the appropriate testing approach.
  • Deploys software to production servers.
  • Contributes code documentation, maintains playbooks, and provides timely progress updates.

Preferred Qualifications

  • Strong commercial background
  • Strong experience in Demand Planning, Forecasting and Promotions Optimization
  • Strong experience developing strategic, complex Data Science models
  • CPG, Retail experience is ideal, but open to other industries
  • Master's degree, PhD is a plus.
  • Strong communication skills in English and Japanese preferred but not mandatory


About Data & Digital

Imagine a World where every line of code you write changes the life and experience of thousands, millions. Bring smiles and delight customers across Japan and thrive in a technology-driven team.
We are building new ways of thinking, where drinks more than quench thirst, they bring true happiness and discovery for all.

We are a new team of data engineers, data scientists and commercial professionals, delivering innovations that improve how our customers experience our drinks and empower thousands of our associates.

Work remotely and find your own way of doing your best, bringing your best thinking to this world, and reshaping the World one drink at a time.


Minimum Qualifications...

Outlined below are the preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, strong SQL, Successful completion of multiple assessments in Python, Spark, Scala, forecasting using open-source frameworks (for example, Scikit learn, TensorFlow, Torch)