Data Scientist

Your role in the team

Our expectations of you

Education

• Required: Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Preferred: Master’s Degree or equivalent combination of education.

Qualifications

• Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, GitHub Actions.
• Monitoring and observability tools such as Prometheus and Grafana.
• Version control systems like Git.
• Proficiency in Python and SQL Server, MySQL, and Oracle.
• In-depth understanding of database management systems, online analytical processing (OLAP), and ETL (Extract, Transform, Load) frameworks.
• Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, clustering is desired and basic AI fundamentals.
• Familiarity with big data technologies (e.g., Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
• Familiarity with edge computing, real-time data processing, and digital twin.
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Experience

• Minimum of 3 years in data science/model development roles, with at least 2 years focusing on Industrial applications.
• Experience in Industrial IoT (IIoT) applications, such as smart manufacturing, predictive maintenance, and industrial automation.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with DevOps tools and practices, including: Containerization technologies like Docker and Kubernetes.
• Strong problem-solving abilities with experience in time-series analysis, anomaly detection, and predictive modeling.