Statistician (3-5 Yrs) at Rockwell Automation India
Rockwell Automation IndiaJob Highlights
Required Skills
Job Description
We are seeking an experienced and analytical Statistician with 3-5 years of experience and an M.Tech degree to join our team in Ahmedabad. The ideal candidate will be responsible for applying statistical methodologies to analyze complex industrial automation data, identify trends, develop predictive models, and provide actionable insights to optimize processes and product performance. This role requires a strong understanding of statistical software and a proven ability to translate data into business solutions.
Key Responsibilities:
- Design and implement statistical studies and experiments to collect and analyze data related to industrial automation processes and equipment.
- Develop and validate statistical models for performance prediction, anomaly detection, and process optimization.
- Utilize advanced statistical techniques such as regression analysis, time series analysis, DOE, and machine learning algorithms.
- Clean, transform, and prepare large datasets for statistical analysis.
- Interpret and communicate complex statistical findings to technical and non-technical stakeholders through reports and presentations.
- Collaborate with engineering and product development teams to define data collection requirements and statistical approaches.
- Contribute to the continuous improvement of statistical methodologies and tools within the organization.
About Rockwell Automation India
Rockwell Automation India is the Indian subsidiary of Rockwell Automation, a global leader in industrial automation and digital transformation. With a strong presence across India, the company provides a comprehensive range of products, solutions, and services to help manufacturers optimize their operations, improve productivity, and achieve sustainable growth. They serve diverse industries including automotive, food and beverage, oil and gas, power and utilities, and pharmaceuticals, leveraging cutting-edge technologies like the Connected Enterprise to drive innovation and efficiency.
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