Data Scientist
1 week ago
**Key Responsibilities**:
- **Data Analysis and Modeling**:
- Collect, clean, and preprocess large datasets from various manufacturing systems and sensors.
- Develop and implement advanced statistical models and machine learning algorithms to analyze manufacturing data.
- Identify patterns, trends, and anomalies in production data to drive process improvements and predict equipment failures.
- **Process Optimization**:
- Analyze and optimize manufacturing processes to increase efficiency, reduce waste, and improve product quality.
- Conduct root cause analysis for production issues and recommend corrective actions.
- Collaborate with engineering and production teams to implement data-driven solutions.
- **Predictive Maintenance**:
- Develop predictive maintenance models to forecast equipment failures and schedule preventive maintenance.
- Monitor real-time data from sensors and IoT devices to predict and prevent downtime.
- **Reporting and Visualization**:
- Create and maintain dashboards and reports to communicate key metrics and insights to stakeholders.
- Visualize complex data sets in a clear and concise manner for decision-making purposes.
- **Cross-functional Collaboration**:
- Work closely with cross-functional teams including engineering, production, quality assurance, and IT.
- Translate business requirements into data-driven solutions and present findings to stakeholders.
**Qualifications**:
- Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field. Master’s or PhD preferred.
- 3+ years of experience in data science, analytics, or a related field, preferably in a manufacturing environment.
- Proven experience with statistical modeling, machine learning, and data mining techniques.
**Technical and Soft Skills**:
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data analysis and visualization tools (e.g., SQL, Tableau, Power BI).
- Knowledge of big data technologies and platforms (e.g., Hadoop, Spark) is a plus.
- Familiarity with manufacturing execution systems (MES) and industrial IoT is preferred.
- Strong problem-solving and analytical thinking abilities.
- Excellent communication and presentation skills.
- Ability to work collaboratively in a team environment.
- Detail-oriented with a focus on quality and accuracy.
**Job Types**: Full-time, Permanent
Pay: ₹2,300,000.00 - ₹2,700,000.00 per year
**Benefits**:
- Health insurance
- Life insurance
- Provident Fund
Schedule:
- Day shift
- Monday to Friday
**Experience**:
- Data science: 3 years (required)
- Machine learning: 2 years (required)
- Python and SQL coding: 2 years (required)
Work Location: In person
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