Senior Manager, Data Scientist

Role Summary:

Pfizer’s purpose, breakthroughs that change patients’ lives, is rooted in being a science driven and a patient focused company. Digital, AI, data, and analytics are central to driving innovation at Pfizer.

We are seeking a highly skilled and motivated individual to join our team as a Senior Manager, Data Scientist. This role is pivotal in driving data-driven decision-making and innovation within our organization to support our colleagues across Finance, People Experience, Legal, Compliance, and other Enabling Functions at Pfizer.

If you are passionate about leveraging data to solve complex problems and have a strong background in data science, we encourage you to apply.

Key Responsibilities:

• Develop and implement advanced data science models to support business objectives
• Collaborate with cross-functional teams to identify data-driven opportunities
• Design and conduct experiments to validate hypotheses and improve decision-making
• Create and maintain data pipelines to ensure data quality and accessibility
• Develops and leads/co-leads complex projects, develops and manages plans to achieve objectives
• Applies skills and discipline knowledge to contribute to work within Sub Business Unit/Sub Operating Unit
• Makes decisions to resolve moderately complex problems, develops new options, guided by policies in non-standard situations, able to operate independently in ambiguous situations
• Works independently, uses knowledge and experience to achieve desired results, often self-initiated assignments
• Work indirectly reviewed through consultation and agreement, may review work of others in Sub Business Unit/Sub Operating Unit
• High level of awareness of own limits, becomes a resource for others
• Provide mentorship and guidance to junior data scientists
• Stay current with the latest advancements in data science and technology

Basic Qualifications:

• BA/BS with 7 or more years of experience, or an MBA/MS with 6 or more years of experience, or a PhD/JD with 2 or more years of experience, or an MD/DVM with less than 4 years of experience.
• Proficiency in programming languages such as Python, R, or SQL
• Extensive experience with machine learning algorithms and statistical modeling
• Strong knowledge of data visualization tools like Tableau or Power BI
• Expertise in big data technologies such as Hadoop, Spark, or similar

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud
• Familiarity with natural language processing (NLP) techniques
• Background in pharmaceutical or healthcare industries
• Proven track record of leading data science projects from conception to deployment
• Excellent problem-solving skills and analytical thinking
• Strong communication and presentation skills
• Ability to work collaboratively in a team environment

  
Work Location Assignment: Hybrid