Co-Op Data Science/Analytics

CSL • King of Prussia, PA

3d • Onsite

About The Position

We are looking for two co-op students currently enrolled in an Advance Program in Data Science, Analytics, or related fields. This role offers hands-on experience in applying analytical techniques to real-world business challenges, with guidance and mentorship from experienced professionals.

Requirements

• Currently enrolled in an advanced program in Data Science, Analytics, Computer Science, Applied Mathematics, Statistics, or related discipline.
• Proficiency in at least one programming language such as Python, R, or SQL.
• Basic understanding of machine learning algorithms, statistical techniques, and data visualization principles.
• Strong analytical thinking and problem-solving skills.
• Effective communication skills to present insights to both technical and non-technical stakeholders.
• Ability to work independently as well as collaboratively in a team environment.

Nice To Haves

• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) is a plus.
• Exposure to cloud platforms (AWS, Azure, or GCP) or big data tools is desirable.
• Understanding of version control systems (e.g., Git) is an advantage.
• Exposure to machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
• Understanding of hypothesis testing, A/B testing, or statistical inference
• Basic knowledge of NLP or time-series analysis
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with version control tools such as Git

Responsibilities

• Assist in data collection, cleaning, transformation, and validation to ensure high data quality.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Support development and testing of statistical models and machine learning prototypes.
• Work on data integration from multiple sources including structured and unstructured datasets.
• Collaborate with cross-functional teams (commercial, medical, and operations) on ongoing analytics initiatives.
• Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar platforms.
• Contribute to automation of recurring reporting processes and workflows.
• Assist in designing and monitoring key performance indicators (KPIs) and business metrics.
• Apply basic data engineering concepts such as data pipelines and ETL processes.
• Explore advanced analytics techniques such as predictive modeling, segmentation, and forecasting under supervision.
• Support documentation of methodologies, code, and project outputs for reproducibility.
• Stay updated with emerging trends in data science and propose innovative approaches to problem-solving.
• Contribute to dashboards, reports, and visualizations using Tableau and other tools.

Benefits

• Hands-on experience with enterprise-level analytics and real-world datasets.
• Exposure to pharmaceutical industry analytics, including commercial and medical domains.
• Mentorship from experienced data scientists and analytics professionals.
• Opportunity to build a strong portfolio of analytics and machine learning projects.
• Experience working in a collaborative, cross-functional environment.
• Development of both technical and business-facing communication skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level