Data Science Engineer
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Key skills for this role
Key Skills for This Role
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Responsibilities
- Develop complete web applications with Python, Django, JavaScript, HTML5, CSS3, and RESTful APIs.
- Build, train, and deploy machine learning models using Python, SageMaker, or Azure ML.
- Write tests, debug programs, and integrate applications with third-party web services.
- Automate processes using Python, VBA, and crawler development technologies.
- Participate in the software development lifecycle and mentor junior developers.
- Design, develop, and maintain software products with Django or Flask.
- Process, analyze, and visualize data using Python or R.
- Extract information from data sources with Python scripts for business analytics.
Requirements
- Bachelor’s degree in Marketing, Business Analytics, Data Science, or a related field.
- 4–6 years of programming experience with Python, Java, or R.
- Strong statistics background and experience with TensorFlow, PyTorch, or related tools.
- Proficiency in Python, SQL, and RDBMS, preferably SQL Server.
- Experience with Django or Flask and knowledge of automation frameworks and CI/CD.
- Familiarity with Linux, Unix, configuration management, and systems engineering.
- Experience building, training, and deploying machine learning and deep learning algorithms.
- Proficiency with Docker and Kubernetes plus Linux/Unix administration experience.
Additional Information
- A graduate or postgraduate degree in Data Science, Computer Science, or Mathematics is listed as additional information.
- Experience with Azure, AWS, or GCP is noted, with Azure preferred.
- The description mentions exposure to AI, data science, and machine learning concepts.
- Additional scripting experience includes Perl, Java, and MySQL database scripts.
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