Jobs

Manager Data Science, Business Analytics & Insights – [Japan]
Japan - Tokyo
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Remote work flexibility
•Parental leave program
•Learning and development stipend
•Flexible PTO policy
•Health, dental, and vision coverage
•Top Tier compensation with equity
Required Skills
PyTorch
Python
Airflow
Use Your Power for Purpose
Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives. You will be instrumental in building and managing our database management systems, utilizing your technical expertise to design, develop, analyze, and install these systems. Your role will encompass database modeling and design, relational database architecture, metadata, and repository creation, as well as configuration management.
What You Will Achieve
In this role, you will:
- Lead or co-lead moderately complex projects, effectively managing time and resources.
- Apply skills and discipline knowledge to contribute to departmental work.
- Resolve moderately complex problems independently, developing new options guided by policies in non-standard situations.
- Work independently on assignments, seeking guidance on unusual or complex problems.
- Review your own work and mentor others by reviewing their work.
- Utilize judgment and experience to potentially become a resource for others.
- Manage technology deliverables through planning, estimation, coordination, and execution.
- Collaborate with enabling functions to enhance regional Business Intelligence (BI) capabilities.
- Engage with business, Digital stakeholders, and partners/vendors to capture and translate key requirements into projects aligned with Pfizer's standards.
- Maintain strong customer engagement with key stakeholders and support teams in leveraging the knowledge graph for various tasks, while defining data quality rules and improving taxonomy change management processes.
Here Is What You Need (Minimum Requirements)
- BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high School Diploma (or Equivalent) with at least 10 years of relevant experience.
- Experience with infrastructure as code, automation scripts, run book workflows, frameworks
- Demonstrated the successful adaptation of data quality standards in a previous work experience
- Hands on experience working with DevOps tools
- Experience working with machine learning products and services from leading public providers
- Experience working with compliance domains
- Ability to architect and design data models and solutions
- Innovative with changing business requirements
- Excellent verbal and written communication skills
Bonus Points If You Have (Preferred Requirements):
- Master's degree with relevant experience in the pharmaceutical industry, particularly in commercial or sales and marketing roles.
- Experience in management consulting
- Innovative in response to changing business requirements
- Proven expertise in compliance domains, with the ability to architect and design data models and solutions
- Hands-on experience with DevOps tools and machine learning products from leading public providers
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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About Pfizer

Pfizer
PublicPfizer Inc. is an American multinational pharmaceutical and biotechnology corporation headquartered at The Spiral in Manhattan, New York City. Founded in 1849 in New York by German entrepreneurs Charles Pfizer (1824–1906) and Charles F.
10,001+
Employees
New York City
Headquarters
Reviews
3.4
2 reviews
Work Life Balance
2.0
Compensation
3.5
Culture
1.5
Career
2.0
Management
1.5
15%
Recommend to a Friend
Pros
Big name company reputation
Hands-on testing exposure
Higher salary offering
Cons
Poor recruitment process
Repetitive work tasks
Contract instability
Salary Ranges
0 data points
Junior/L3
L3
Junior/L3 · Data Scientist
0 reports
$206,250
total / year
Base
$160,000
Stock
$6,250
Bonus
$40,000
$175,313
$237,188
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HR Screen
3
HireVue Video Interview
4
Phone/Video Interview
5
Group Interview
6
Final Decision
Common Questions
Behavioral/STAR
Culture Fit
Past Experience
Motivation for Role
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