Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist - Manufacturing Analytics role.
Rezi rewrites your resume against Unison Group's job description. Free.
Tailor your resume to this Data Scientist - Manufacturing Analytics role.
Rezi rewrites your resume against Unison Group's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist - Manufacturing Analytics posting at Unison Group — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist - Manufacturing Analytics posting at Unison Group — free, in seconds.
About the Role
We are seeking a Data Scientist with expertise in advanced analytics and machine learning to join our team. This role will focus on analyzing manufacturing plant data to identify patterns, optimize processes, and develop predictive models. You will work closely with plant and engineering teams to translate operational challenges into data science solutions and drive data-driven decision-making.
Responsibilities
- Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities.
- Use Seeq platform for time-series analysis, root cause investigation, and process monitoring and visualization.
- Develop and deploy machine learning models for predictive maintenance, process efficiency improvement, and quality/yield optimization.
- Work closely with plant, engineering, and operations teams to understand real-world process issues.
- Translate business and operational challenges into data science solutions.
- Build and maintain data pipelines, analytical datasets, and workflows.
- Monitor, evaluate, and continuously improve model performance in production.
- Present actionable insights through dashboards, reports, and stakeholder discussions.
- Ensure data quality, reliability, and governance across manufacturing data sources.
- Drive adoption of data-driven decision-making across plant operations.
Requirements
- 6+ years of experience in Data Science / Advanced Analytics.
- Hands-on experience in manufacturing / industrial / plant environments.
- Strong working knowledge of Seeq (industrial analytics platform) for time-series analysis, including both Seeq Workbench and Data Lab (using the seeq spy library).
- Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Strong understanding of Machine Learning (regression, anomaly detection, predictive models).
- Strong understanding of Statistical modeling and hypothesis-driven analysis.
- Strong understanding of Time-series / sensor data analytics.
- Experience building and deploying predictive models for predictive maintenance, process optimization, and quality and yield improvement.
- Ability to work with sensor data, process data, and operational datasets.
- Strong analytical thinking, troubleshooting, and root-cause analysis capability.
Skills
- Seeq
- Seeq Workbench
- Seeq Data Lab
- seeq spy library
- Python
- Pandas
- NumPy
- Scikit-learn
- SQL
- Machine Learning
- regression
- anomaly detection
- predictive models
- Statistical modeling
- hypothesis-driven analysis
- Time-series data analytics
- sensor data analytics
- predictive maintenance
- process optimization
- quality improvement
- yield improvement
- MLOps
- optimization techniques
- data visualization
- real-time data analytics
- streaming data analytics
- data engineering
- ETL
- data pipelines
- data lakes
Experience Level
- 6+ years of experience