Data Scientist, AI Engineering
hace 1 mes
Company Overview
Pfizer is a leading global biopharmaceutical company that puts patients at the forefront of everything we do. We strive to deliver innovative medicines and solutions that meet real-world needs.
Job Summary
We are seeking an experienced Data Scientist, AI Engineering to join our Analytics, Data and Learning organization. In this role, you will design, develop, and deploy machine learning products and approaches to solve complex business problems across commercial and medical affairs domains.
About the Role
This position requires a strong background in machine learning, statistics, and data science, with expertise in R, Python, and analytics platforms. You will work closely with stakeholders across the enterprise to understand and solve complex problems through AI/ML and inform business strategy and decisions.
Key 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
- Lead Agile-based project management standards (i.e., daily check-in procedures, workload status, and cost overruns/projections)
BASIC QUALIFICATIONS
To be successful in this role, you must have:
- 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 with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, Keras).
- Aplied 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
The ideal candidate will also have:
- 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
Estimated Salary Range
$120,000 - $180,000 per year
Location
New York City, USA
Benefits
Pfizer offers a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.
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