Jobs / Director, Data Science and Advanced Analytics, Japan Tech Lead
Jobs at Pfizer

Director, Data Science and Advanced Analytics, Japan Tech Lead

Pfizer Tokyo
EN: none
JP: none
Employment Type
Full time

Job Description

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patient’s lives.  The Industrialization team within Data Science Solutions and Initiatives leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer’s digital transformation.

As the Director, Data Science And Advanced Analytics Japan Tech Lead, you will be a leader within the Data Science Industrialization team that leverages best practices from software engineering, data science, and analytics engineering to accelerate data-driven insight generation across the pharma value chain.  In this role, you will be a technical advisor for developing and enhancing data science and advanced analytics applications and integrating them into the enterprise analytics platform.  You will help guide the strategic direction for advanced analytics within the Japan Biopharma team while counseling business teams on how to evolve Pfizer Japan into a data-driven organization.  In this process, you will work on diverse projects to close the loop between decisionmakers and data by leveraging software engineering best practices to develop applications with embedded analytics and data science processes.  You will also integrate globally with Pfizer advanced analytics teams to elevate analytics assets to organizational or enterprise solutions for use at Pfizer. The ideal candidate is an expert in software engineering and data science with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, to deliver the promise of AI/ML to improve patients’ lives.


  • Provide thought leadership in envisioning and developing scalable data science solutions to transform Pfizer's go-to-market model
  • Lead data science solutions development work streams by providing expertise, thought leadership, and embodying best practices to drive technical and strategic objectives
  • Design and deliver data science and advanced analytics solutions which embed rigorous statistical methods and machine learning techniques
  • Oversee the roadmap for reusable assets and custom pipelines by identifying and implementing operational efficiencies in analytics execution
  • Mentor junior team members through technical and organizational thought leadership and innovation
  • Research, identify, and apply new algorithms and technologies to solve complex problems and systematize solutions into reusable assets and capabilities
  • Lead Agile-based project management standards (i.e. daily check-in procedures, workload status, and cost overruns/projections)
  • Inform data science product development and activation in commercial market


Must Have

  • 10+ years of work experience as a software engineer and tech lead for a diverse range of projects
  • 5+ years of hands-on expertise in data science projects or software development
  • 2+ years experience as a back-end or full-stack senior/staff/principal software engineer
  • Computer Science, Engineering, Mathematics, or Statistics majors with data science or software development specialization – Computer Science, Engineering, Analytics etc.
  • Lead, design, and conduct advanced data analysis, predictive analytics, formulate mathematical approaches, and design complex algorithms to solve business problems
  • Understanding of data science development lifecycle (CRISP)
  • Experience in data ingestion, data warehousing, and data model concepts
  • Strong hands-on skills in a cloud based analytics ecosystem (AWS, Snowflake, etc)
  • Strong hands-on skills in CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins)
  • Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)
  • Strong hands-on skills for data pipeline orchestration (e.g. Airflow)Strong hands-on skills in ML engineering and data science (e.g., Python, industrialized ETL software)
  • Experience with big data technologies (e.g. Spark)
  • Experience with test-driven development and automated testing frameworks (e.g.pytest, Selenium)
  • Deep understanding of MLOps principles and tech stack (e.g. MLFlow)
  • Superior analytical skills required; Strong verbal and written communication skills
  • Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa
  • Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable
  • Experience developing and deploying data and analytic products for use by technical and non-technical audiences
  • Continuous improvement: research industry leading analytics practices
  • Lead discussions in cross functional forums and effectively clarify model design, deployment, insights, and implications to all cohorts of users
  • Represent the company in industry events and help recruit top talent
  • Fierce curiosity, strong analytical skills, and strong sense of ownership in problem solving
  • Build a sense of trust and rapport that creates a comfortable and effective workplace, and an ability to work as part of an agile team (product owner, developers, etc.)


  • Knowledge of business processes in commercial pharmaceutical domains would be strong plus
  • Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, Domino Data lab, or other data science platforms
  • Industry or consulting experience, along with project management skills strongly preferred
  • Japanese and English language proficiency

About the Company

Breakthroughs That Change Patients' Lives: Pfizer is a leading research-based biopharmaceutical company. We apply science and our global resources to deliver innovative therapies that extend and significantly improve lives. Every day, Pfizer colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time.