Senior Level Production Scientist Jobs
Senior level production scientist jobs place experienced scientists at the center of process ownership, technical decision-making, and the cross-functional teams that drive products from development to commercial scale. Openings concentrate across Technology & Software, Biotechnology & Pharmaceuticals, and Consulting & Professional Services, with roles covering on-site, hybrid, and remote settings, and employers like Amazon, SentiLink, and St. Jude Children's Research Hospital hiring at this level now.
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Showing 5 of 439+ Senior Level Production Scientist jobs
Job Title: Data Scientist 8+ years
Location: New Jersey
Employment Type: Full-Time
About the Role:
We are seeking a highly skilled and experienced Data Scientist to develop and implement advanced machine learning, statistical modeling, predictive analytics, and AI solutions that drive data-driven business decisions.
Key Responsibilities:
- Develop, train, validate, and deploy machine learning models for classification, regression, clustering, forecasting, recommendation, anomaly detection, and predictive analytics use cases.
- Perform exploratory data analysis (EDA), statistical analysis, data profiling, data preprocessing, data cleansing, and feature engineering to identify meaningful patterns and business insights.
- Build predictive models using Python, Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, and other machine learning frameworks.
- Apply advanced statistical modeling, hypothesis testing, regression analysis, probability, time-series analysis, correlation analysis, and experimental design to solve complex business problems.
- Develop and optimize Deep Learning models using frameworks such as TensorFlow, PyTorch, Keras, and related AI/ML technologies.
- Design and implement Natural Language Processing (NLP) solutions for text classification, sentiment analysis, document processing, information extraction, text summarization, and semantic analysis.
- Work with Generative AI, Large Language Models (LLMs), embeddings, vector databases, prompt engineering, Retrieval-Augmented Generation (RAG), and AI-powered applications where applicable.
- Develop end-to-end data science solutions, from data collection and preprocessing through model development, evaluation, deployment, monitoring, and continuous improvement.
- Evaluate model performance using appropriate evaluation metrics, cross-validation, hyperparameter tuning, model selection, explainability, and statistical validation techniques.
- Implement MLOps practices model versioning, experiment tracking, deployment automation, model monitoring, drift detection, and lifecycle management.
- Work with cloud-based AI/ML platforms such as Microsoft Azure, Azure Machine Learning, Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.
- Develop scalable data processing and machine learning workflows using Apache Spark, PySpark, Databricks, and distributed computing technologies.
- Create dashboards, visualizations, and analytical reports using Power BI, Tableau, Matplotlib, Seaborn, or other visualization tools to communicate insights to business stakeholders.
Required Skills & Qualifications:
- 8+ years of experience in Data Science, Machine Learning, Predictive Analytics, Statistical Modeling, and Advanced Analytics.
- Strong programming expertise in Python, with hands-on experience using Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn.
- Extensive knowledge of Machine Learning algorithms, including Linear/Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, XGBoost, LightGBM, SVM, K-Means, Clustering, PCA, and Ensemble Methods.
- Hands-on experience with Deep Learning frameworks such as TensorFlow, PyTorch, and Keras, including neural networks and model optimization.
- Experience with Natural Language Processing (NLP), including text classification, sentiment analysis, tokenization, embeddings, transformers, and language models.
- Strong understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, Vector Databases, Embeddings, and AI application development.
Job Title: Data Scientist 8+ years
Location: New Jersey
Employment Type: Full-Time
About the Role:
We are seeking a highly skilled and experienced Data Scientist to develop and implement advanced machine learning, statistical modeling, predictive analytics, and AI solutions that drive data-driven business decisions.
Key Responsibilities:
- Develop, train, validate, and deploy machine learning models for classification, regression, clustering, forecasting, recommendation, anomaly detection, and predictive analytics use cases.
- Perform exploratory data analysis (EDA), statistical analysis, data profiling, data preprocessing, data cleansing, and feature engineering to identify meaningful patterns and business insights.
- Build predictive models using Python, Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, and other machine learning frameworks.
- Apply advanced statistical modeling, hypothesis testing, regression analysis, probability, time-series analysis, correlation analysis, and experimental design to solve complex business problems.
- Develop and optimize Deep Learning models using frameworks such as TensorFlow, PyTorch, Keras, and related AI/ML technologies.
- Design and implement Natural Language Processing (NLP) solutions for text classification, sentiment analysis, document processing, information extraction, text summarization, and semantic analysis.
- Work with Generative AI, Large Language Models (LLMs), embeddings, vector databases, prompt engineering, Retrieval-Augmented Generation (RAG), and AI-powered applications where applicable.
- Develop end-to-end data science solutions, from data collection and preprocessing through model development, evaluation, deployment, monitoring, and continuous improvement.
- Evaluate model performance using appropriate evaluation metrics, cross-validation, hyperparameter tuning, model selection, explainability, and statistical validation techniques.
- Implement MLOps practices model versioning, experiment tracking, deployment automation, model monitoring, drift detection, and lifecycle management.
- Work with cloud-based AI/ML platforms such as Microsoft Azure, Azure Machine Learning, Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.
- Develop scalable data processing and machine learning workflows using Apache Spark, PySpark, Databricks, and distributed computing technologies.
- Create dashboards, visualizations, and analytical reports using Power BI, Tableau, Matplotlib, Seaborn, or other visualization tools to communicate insights to business stakeholders.
Required Skills & Qualifications:
- 8+ years of experience in Data Science, Machine Learning, Predictive Analytics, Statistical Modeling, and Advanced Analytics.
- Strong programming expertise in Python, with hands-on experience using Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn.
- Extensive knowledge of Machine Learning algorithms, including Linear/Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, XGBoost, LightGBM, SVM, K-Means, Clustering, PCA, and Ensemble Methods.
- Hands-on experience with Deep Learning frameworks such as TensorFlow, PyTorch, and Keras, including neural networks and model optimization.
- Experience with Natural Language Processing (NLP), including text classification, sentiment analysis, tokenization, embeddings, transformers, and language models.
- Strong understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, Vector Databases, Embeddings, and AI application development.
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Find JobsSenior Level Production Scientist Job Market
Who's Hiring
- Amazon20
- SentiLink15
- St. Jude Children's Research Hospital14
- Langan Engineering and Environmental Services11
- AbbVie10
Top Industries Hiring
- Technology & Software136
- Biotechnology & Pharmaceuticals63
- Consulting & Professional Services42
- Healthcare & Medical Services30
- Science & Research28
Senior Level Production Scientist Jobs: Frequently Asked Questions
How do I get a senior level production scientist job?
Employers hiring at this level look for candidates who have owned production processes end-to-end, not just executed tasks. Demonstrating that you have led scale-up projects, resolved complex deviations independently, and mentored junior scientists gives you a clear edge. Highlighting regulatory compliance experience, cross-functional collaboration with QA and R&D, and measurable process improvements in your resume and interviews signals the ownership mindset these roles require.
Which companies hire senior level production scientists?
Companies hiring senior level production scientists right now include Amazon, SentiLink, and St. Jude Children's Research Hospital, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large pharmaceutical, biotechnology, and consumer products manufacturers, as well as contract development and manufacturing organizations that depend on senior scientific expertise to maintain output quality and compliance.
Are there remote senior level production scientist jobs?
Yes, though production scientist roles are more hands-on than many scientific positions, so fully remote opportunities are less common than in other fields. About 33% of senior level production scientist openings are remote or hybrid as of November 2026, with hybrid arrangements most often offered for roles that combine lab or plant oversight with significant data analysis, documentation, or cross-site coordination responsibilities.
What makes a production scientist role senior level?
Senior production scientist roles are defined by ownership and depth rather than task execution. Candidates are expected to independently lead process development or optimization projects, serve as the technical authority on specific production systems, and mentor associate or mid-level scientists. The scope typically includes evaluating batch records, driving continuous improvement initiatives, interfacing with regulatory bodies, and contributing to strategic decisions that affect production capacity or product quality.
Which industries hire the most senior level production scientists?
Senior level production scientist roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate under strict regulatory requirements, run complex multi-stage production processes, and depend on experienced scientists to maintain compliance, troubleshoot at scale, and lead the technical teams that keep output consistent.