Core Job Responsibilities:

Construct and develop predictive/analytical models or Gen AI applications that are reliable and scalable.
Maintain and optimize existing machine learning models.
Aid in the implementation of machine learning models into production environments.
Utilize new tools and techniques to increase performance, automation, and scalability.
Report, visualize, and communicate findings to internal stakeholders regularly.
Engage in a "test and learn" team environment with a focus on continuous improvement and action.
Participate in the Data Science Community of Practice to foster continuous growth in knowledge and enhance collaborative skills.
Work with stakeholders to understand business questions and define requirements.
Examine relevant data to develop an analytics plan that answers key business questions.
Handle datasets of varied sizes and complexity, including structured and unstructured data.
Transform data into actionable insights through data transformation and verification.

Qualifications

Bachelor’s degree in a quantitative field such as Statistics, Engineering, Operational Research, Computer Science, or Mathematics. A Master’s degree is a plus.
1-3 years of business experience in data analysis, data engineering, and predictive/simulation modeling, or strong academic performance in related fields.
Biopharmaceutical or healthcare experience a plus.
Experience in developing ML/AI models for real world business applications.
Experience with cloud big data environments such as AWS, GCP or MS Azure
Familiarity with visual workflow development analytics tools such as Dataiku or Alteryx
Understanding of algorithmic design and experience with analytical experimentation.
Proficiency in Python and SQL a must and experience with relevant BI tools (e.g., Power BI, Tableau) a plus.
Familiarity with data manipulation and analysis libraries to support quick iteration and experimentation.
Strong problem-solving skills and an eagerness to work collaboratively as part of a diverse team.
Excellent communication skills, both written and verbal.
A team-oriented attitude with a keen interest in personal and professional development.