Data Scientist

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