Specialist Data Scientist

Specialist Data Scientist

We are seeking Data Scientists with a growth mindset, to work closely with cross-functional business teams adopting agile ways of working to create business values and outcomes with data and Advanced Data Analytics.

Primary Activities

Provide business outcomes Not only design solutions leveraging analytical approaches and best practices, but also build prototypes, code and documents, to deliver actionable insights and business outcomes to stakeholders and management.

Implement technology modernization Implement modern technologies related to analytics, Machine Learning and AI, to improve business process and efficiency of our company.

Drive agile delivery Leverage our new ways of working to deliver business outcomes with agility and significant productivity, based on iteration and experimentation principles.

Foster global collaboration Establish effective trust partnerships with cross-functional teams and global communities.

Lead decision making Make and execute decisions by using data science techniques and data architecture, to solve critical business problems and achieve business goals.

Uphold behavior standards Maintain behavior standards and mindset built on principles of collaboration, learning and sharing.

We are seeking professionals with the following qualifications, skills and experience

Basic Qualifications

At least 2 years of broad experience in the domains of Advanced Data Analytics, Data Science, Machine Learning and AI, Business Insights and visualization

Hands-on experience within the end-to-end Advanced Data Analytics process, from data extraction, EDA, data preparation and preprocessing, to predictive model building, validation and deployment

Knowledge and experience with best practices and frameworks utilized in the fields of Advanced Data Analytics and Data Mining

Ability to clearly understand business requirements and translate them into data-driven processes and services, while consulting stakeholders on optimal solutions and managing expectations

Experience with designing analytical solutions, as well as storytelling and presentation of insights and outcomes to business stakeholders

Strong hands-on programing experience with open source languages like Python and R, with experience in SAS being a plus

Ability to extract, design and link datasets from diverse internal and external data sources, by writing SQL queries as a part of the ETL process, and prepare modeling master datasets for analysis

Understanding of Big Data foundations, as well as of modern Data and Analytics ecosystems and technologies, such as AWS and Azure cloud environments and services

Superior analytical maturity to provide business outcomes with proficiency in a broad range of marketing methodologies, including qualitative and quantitative design, Data Analysis and statistics

Strong interpersonal and communications skills

Ability to lead data-driven initiatives, which sometimes include changing existing systems, operations or mindsets of others, based on prioritization

Native level Japanese proficiency

Fluency in English is desirable

Degree(s) in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, Pharmacy

Preferred Qualifications

Proactive, results-oriented, creative and flexible thinker with a growth mindset

Enjoys working in diverse and inclusive global and matrix environment across functions and geographies

Ability and willingness to speak-up and to challenge the status quo. Upholds high standards of ethical and intellectual integrity

Experience or knowledge about the pharmaceutical commercial business and data sources (e.g., prescription and sales data, patient claims data, promotional data); ability to design future ideal state of Data Analytics in it