
Data Scientist/Data science engineer/AI/ML
1 day ago
Role & responsibilities
- Analyze and model manufacturing process data (e.g., temperature, pressure, vibration, etc.) to identify trends and predict machine failures.
- Develop machine learning models to predict equipment malfunctions, reduce downtime, and optimize maintenance schedules.
- Work closely with engineering and operations teams to understand the dynamics of the machinery and design data-driven solutions.
- Preprocess, clean, and transform raw manufacturing data into structured datasets for analysis.
- Collaborate with cross-functional teams to integrate predictive models into real-time systems for continuous monitoring.
- Present actionable insights from data analysis to stakeholders and recommend improvements for operational efficiency.
- Monitor model performance and make improvements based on ongoing results and feedback from production environments.
Preferred candidate profile
- 2+ years of experience as a Data Scientist in the manufacturing or industrial sector.
- Strong knowledge of time-series analysis, anomaly detection, and predictive modeling techniques.
- Experience with sensor data and process data from manufacturing machines (e.g., temperature, pressure, vibration).
- Practical experience with machine learning algorithms and statistical analysis methods applied to failure prediction.
- Proficient in data analysis tools such as R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow).
- Strong communication skills with the ability to convey technical results to non-technical stakeholders.
- Ability to work in a fast-paced, collaborative environment and solve complex operational problems.
Perks and benefits
- 5-day workweek
- Flexible working hours
- Supplemental Pay: Commission pay, Yearly bonus
- Opportunity to work on patented products
- International travel opportunities
- A minimum of a 30% salary hike
- MNC work culture
- Month-end parties and Birthday celebrations
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