Data Scientist/Data science engineer/AI/ML

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