Data Scientist

Job Description

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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