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Manager, Machine Learning
Apply locations Mexico - Mexico City time type Full time posted on Posted Today job requisition id 4899466ROLE 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 and clinical 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 Manager, Machine Learning, you will be part of a team to develop new capabilities that leverage AI/ML to solve complex problems across multiple healthcare domains. 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
- Design, develop and deploy Machine Learning products & approaches to solve business problems across commercial and medical affairs domains
- Engage with stakeholders across the enterprise to understand and solve complex problems through AI/ML and inform business strategy and decisions
- 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
- Lead Agile-based project management standards (i.e. daily check-in procedures, workload status, and cost overruns/projections)
- Provide guidance and expertise in practical applications of Machine Learning-based forecasting methods
BASIC QUALIFICATIONS
- 5-6 years of work experience as a Machine Learning engineer or data scientist and project lead for a diverse range of projects
- 3 years of project and stakeholder management experience
- STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis – Statistics, Computer Science, Economics, Engineering etc.
- Expert proficiency in R, Python, and analytics platforms w ith expertise in Machine Learning libraries (e.g., scikit-learn, TensorFlow, Keras).
- Applied knowledge of statistical analysis, experience with R, Excel, etc.
- Strong background in computer 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
- Advanced understanding of Machine Learning algorithms, deep learning architectures, and statistical techniques with a focus on forecasting.
- Experience with foundation models, LLMs, or other areas of generative AI.
- Proficiency in data preprocessing, feature engineering, and dimensionality reduction.
- Familiarity with software engineering principles (e.g. version control, testing, and deployment)
- Knowledge of cloud platforms (AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark) is a plus.
- Industry or consulting experience, along with project management skills preferred
- Experience in one or more of the following areas preferred: Machine Learning, statistics, healthcare, life sciences
- Experience working in Agile processes and practices
#LI-PFE
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
Information & Business Tech#LI-PFEAbout Us
Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.
