Data Analyst
4 weeks ago
At Saxon Global, we are seeking a skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and delivering analytics models for our clients' equipment condition monitoring systems.
Key Responsibilities:
- Collect and negotiate requirements for condition monitoring models.
- Access, analyze, and preprocess data to cultivate ground truth datasets.
- Explore and downselect modeling approaches.
- Develop, backtest, and validate models in Python, both on-prem and AWS environments.
- Compute model performance metrics.
- Participate in daily standups and sprint reveals in a Scrum/Agile environment.
- Explain and defend modeling decisions and performance results.
- Support model deployment and resolve incident tickets.
Technical Skills Required:
- Excellent Python skills (numpy, pandas, matplotlib, scikit-learn).
- Version control (Git).
- SQL and database APIs (cx_Oracle, PyMySQL, SQLAlchemy).
- Cloud deployment experience (AWS, containerization) and familiarity with AWS services (S3, EC2, SageMaker).
- Comfortable working in an Agile/Scrum environment.
- Machine Learning model development experience.
- Familiarity with engineering/IoT systems, telematics/timeseries data analysis, and multiprocessing frameworks.
Desired Skills:
- AWS Certified Cloud Practitioner (or higher).
Soft Skills Required:
- Excellent communication skills.
- Critical thinking and independent problem resolution.
- Ability to work both independently and on a team: collaborates and compromises effectively.
Education & Experience Required:
- Bachelor's Degree (Data Science, Analytics, Computer Science, Engineering, or related field).
- 2-4 years of experience.
- Candidates with a relevant Master's degree and PhD with 12 years of experience.
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