- Professional
- Bureau à Farmington Hills
LSPedia is revolutionizing pharmaceutical traceability and compliance with our SaaS platform—and we need a Data Scientist to help drive insights that the power pharmaceutical supply chain. You’ll tackle real-world challenges, partner closely with product and engineering, and turn raw data into decisions that matter.
What You’ll Do
- Design, build and validate machine-learning models in Python to predict trends and optimize workflows
- Query and transform large datasets in Oracle and MS-SQL for analysis and automation
- Create interactive dashboards and reports that bring performance metrics to life
- Collaborate on AI/BI solution architecture, documentation and cross-functional delivery
What You’ll Bring
- Experience in a Data Science or Analytics role (or equivalent)
- Proficiency in Python (Pandas, scikit-learn) and SQL
- Hands-on experience with model evaluation and feature engineering
- Comfort working with large, complex datasets and cloud-hosted databases
- A curious, problem-solving mindset and a drive to learn in a fast-paced environment
Nice to Have
- Familiarity with BI tools (Tableau, Power BI or similar)
- Exposure to MLOps or data-pipeline orchestration (Airflow, Prefect, etc.)
- Background in healthcare, pharma or regulated industries
Why You’ll Love LSPedia
Join a Top 50 Michigan company where your work directly impacts safety and supply-chain integrity. We value innovation, collaboration and growth—plus we fuel your days with coffee, tea and a culture that’s anything but ordinary.
Ready to turn data into action?
Apply today and help shape the future traceability.
