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About the Role

As an Advanced Analytics Lead, you will leverage advanced data science and analytics techniques to support business strategy and decision-making. You will collaborate closely with business units to generate insights into critical business challenges and translate them into practical recommendations. You will also contribute to fostering a data-driven organizational culture using the latest technologies such as machine learning and natural language processing.

Responsibilities

Lead the resolution of critical business issues using data science and advanced analytics.
Create new analytical opportunities utilizing advanced technologies like machine learning, natural language processing, and large language models.
Generate insights and maximize business value using quantitative and qualitative data.
Translate analytical results into actionable recommendations to support management and business unit decision-making.
Act as a strategic partner to key stakeholders, including Commercial departments.
Collaboratively develop data and analytics strategies and priorities with relevant departments.
Promote the utilization of analytical infrastructure in collaboration with Data, IT, and Insights & Analytics teams.
Drive the execution of data utilization initiatives in cooperation with domestic and international stakeholders.
Foster a culture of data utilization and decision-making within business units.
Clearly explain analytical results to stakeholders with varying data literacy levels.
Manage the quality of advanced analytics projects and select appropriate analytical methodologies.
Create value through collaboration with cross-functional teams.

Requirements

Master's degree or higher in statistics, mathematics, physics, data science, computer science, or a related quantitative field is preferred.
Experience in the pharmaceutical industry is preferred.
Over 7 years of practical experience in data science and advanced analytics, or over 5 years of practical experience after obtaining a Ph.D.
Expertise and practical experience in advanced analytical methods such as machine learning and predictive modeling.
Experience in data preparation, data integration, transformation, cleansing, and feature engineering.
Programming skills in Python and SQL (experience with R is a plus).
Experience leading data science or analytics-related projects from planning to introduction and implementation.
Strong stakeholder management, communication, and influencing skills.
Business-level Japanese proficiency.
Comfortable communicating in a global environment (English).

Skills

Data Science
Advanced Analytics
Machine Learning
Natural Language Processing
Large Language Models
Predictive Modeling
Data Preparation
Data Integration
Data Cleansing
Feature Engineering
Python
SQL
R
Stakeholder Management
Communication
Influencing
Storytelling
Presentation

Location

Tokyo, Japan

Work Type

Full-time

Experience Level

7+ years of practical experience in data science and advanced analytics
5+ years of practical experience after obtaining a Ph.D.

Education Level

Master's degree or higher in statistics, mathematics, physics, data science, computer science, or a related quantitative field is preferred.

About the Company

UCB values equal opportunity. All employment decisions are made regardless of any legally protected attribute.

Equal Opportunity

UCB values equal opportunity. All employment decisions are made regardless of any legally protected attribute.