Senior Associate, Data Science

ROLE SUMMARY

Summarize the primary purpose & key accountabilities of the role, including geographical scope (i.e. Global vs. Country/Region).

Summary should be concise and include strategic information that would attract candidates to the role. It may be helpful to complete this section after you have finished the other sections of the document.

ROLE SUMMARY

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 together through data and analytics? Then join Pfizer Digital’s Analytics, Data and Learning organization where you can leverage cutting-edge technology including AI and ML to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of global teams drives insights to action for some of the most critical business questions for the company. Our analytics professionals are based in over 30 countries around the world and come from diverse backgrounds including: market research, data science, digital analytics, finance, investment banking, corporate development, and consulting. Join one of our teams and be at the forefront of Pfizer’s digital transformation, driving innovation and bringing advance analytics to change patients’ lives.

As a Sr Associate Data Science, you will be part of a team to develop new capabilities that leverage AI/ML to solve complex problems across Pfizer’s commercial business. In this role, you will work on the strategy and roadmap for developing new capabilities and integrating them into our analytics platform. In this process, you will work on diverse projects as use cases to identify unmet need in various domains, to guide the strategic roadmap for developing new capabilities. You will also identify opportunities to translate and elevate analytics capabilities research to organizational or enterprise processes and/or best practices for AI/analytics use at Pfizer. The ideal candidate is an expert in 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.

ROLE RESPONSIBILITIES

In order of importance, indicate the primary responsibilities critical to the performance of the role. It is recommended not to list actual tasks but focus on 5-8 essential responsibilities that highlight accountability and level of judgment required.

ROLE RESPONSIBILITIES

• Develop and execute AI/ML approaches to solve business problems to transform Pfizer's go-to-market model for commercial excellence
• Design and execute advanced analytics and predictive modeling projects using rigorous statistical methods and machine learning techniques
• Design, develop, deploy and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution
• Research, identify, and apply new algorithms and technologies to solve complex problems and systematize solutions into reusable assets and capabilities
• Implement Agile-based project management standards (i.e. daily check-in procedures, workload status, and cost overruns/projections)
• Participate in discussions to envision and develop data science and advanced analytics capabilities for the commercial enterprise

QUALIFICATIONS

Indicate basic and preferred qualifications:

• Basic Qualifications are job related, consistent with business requirements and necessary for the performance of an essential function of this role including: education/licenses/certifications, location, relevant experience, technical and/or other job-related skills. Basic qualifications determine minimum requirements that applicants must possess to be qualified for the role; anyone who does not meet basic qualifications for the role will not be interviewed or eligible for hire.
• Preferred Qualifications are job-related qualifications that may be indicated in addition to basic qualifications; they are not absolutely required for performance of the job but are desired and further describe the education/skills/experience sought for the position. Preferred qualifications enhance a candidate’s ability to perform the job.  

BASIC QUALIFICATIONS

• 3 years of work experience as a data scientist and project lead for a diverse range of projects
• STEM  (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis – Statistics, Computer Science, Economics, Engineering etc.
• Expert proficiency in R, Python, and analytics platforms
• Applied knowledge of statistical analysis, experience with R, Excel, etc.
• Strong background incomputer science: algorithms, data structures, machine learning, and distributed systems
• 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

PREFERRED QUALIFICATIONS

• Knowledge of business processes in one or more of discovery, research, clinical, regulatory or safety domains would be strong plus
• Industry or consulting experience, along with project management skills strongly preferred
• Experience in one or more of the following areas preferred: machine learning, statistics, healthcare, life sciences
• Experience working in Agile processes and practices

PHYSICAL/MENTAL REQUIREMENTS

(not all roles will have physical or mental requirements)

Indicate any physical or mental requirements necessary for the performance of an essential function of this particular role. Requirements should be unique to the work being performed in this role and consistent with business necessity.

Examples: Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis

Note: Do not include requirements of the role that are generally applicable to most or all jobs at Pfizer, such as “ability to communicate,” “ability to work on teams”, “office job involving use of computer”, etc.

PHYSICAL/MENTAL REQUIREMENTS

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

(not all roles will have non-standard work schedule travel, or environment requirements)

Include any work schedule, travel or environment requirements necessary for the performance of the role. Types of requirements might include ability to work particular hours (shift, overtime), travel or adhere to safe work practices and procedures such as aseptic gowning. Any criteria indicated must be job-related, consistent with business necessity, and specific to this role.  

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

OTHER INFORMATION

The following information, if applicable, must be manually inserted into the job description for transparency:

• Relocation eligible
• Internal candidate identified
• Eligible for employee referral bonus
• Posting expiration date (if determined)

This can be edited or added after the requisition has been created

 
Work Location Assignment: Flexible

LI#PFE

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

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