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# Senior Data Scientist

- **Company:** Takeda Pharmaceutical Company Limited
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $47,400.0 - $65,120.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Technical Data Management Systems, Workflow Management Systems, Random Forest, Apache Spark, Deep Learning, AI Platforms, Kubernetes, Nintex, Machine Learning Operations, Docker
- **Published:** September 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/phpylqfqr0

## About the Role

* Master's or Ph.D. in Data Science, CS, Engineering, or related STEM.
 * 5+ years in AI/data science roles, including demonstrated technical and people leadership.
 * Advanced ML/AI expertise experience (Classical ML KNN, SVM, Random Forest/GBMs etc.). Deep learning CNNs/RNNs/GRU, autoencoders, Backprop/Autodiff and experience with MLOps at scale.
 * Strong programming skills (Python, SQL) and familiarity with distributed computing (Spark, Kubernetes).
 * Experience in regulated environments, specifically pharma preferred.

Desired Skills :

 * Experience with pharma, biotech, or chemical manufacturing datasets.
 * Familiarity with workflow automation/orchestration tools (Airflow, n8n) and cloud deployment (Docker, Kubernetes, Azure ML, AWS Sagemaker).

## Description

We are seeking a Principal Data Science Analyst to design and implement the AI/ML strategy across Manufacturing Sciences, working in close partnership with Manufacturing Sciences domain leaders to translate strategic priorities into scalable and compliant solutions. You will design AI/ML roadmaps, drive adoption of advanced analytics, and mentor data scientists, and influence analytics direction across Manufacturing Sciences to deliver measurable operational impact. You will also shape manufacturing AI/ML strategy, lead cutting-edge projects, and directly impact global manufacturing operations in a collaborative, innovative environment., * Lead global AI/ML initiatives across 20+ manufacturing facilities in alignment with Manufacturing Sciences strategic priorities

 * Architect AI platforms integrating real-time manufacturing data with cloud MLOps environments.
 * Drive innovation in AI/ML manufacturing optimization and autonomous process control.
 * Establish standards for model governance, bias mitigation, and regulatory compliance.
 * Mentor data scientists and collaborate with Manufacturing Sciences SMEs, IT, engineering and quality business functions.
 * Translate emerging AI/ML trends into practical applications that support Manufacturing Sciences decision-making and operational goals.


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