Software Engineer (JG4) – Data Science & Analytics
- Translate business challenges into scalable data science and analytics solutions
- Develop clean, maintainable, production-grade code, including automated tests
- Build and deploy models regularly, sometimes on a weekly or daily basis
- Integrate solutions into live systems using modern cloud and data platforms
- Collaborate closely with Product Owners, customers, and cross-functional teams
- Participate in Agile ceremonies and continuous improvement activities
- Clearly document and communicate analysis results and model behavior to both technical and non-technical audiences
- Continuously learn new tools, engineering practices, and ways of working
- Rapid onboarding to new projects with evolving or unclear requirements
- Working with incomplete, noisy, or ill-defined datasets
- Explaining complex technical concepts in plain, business-friendly language
- Collaborating effectively with globally distributed, virtual teams
- Hands-on experience delivering data science or machine learning projects
- Strong foundation in statistics, machine learning, and data engineering
- Practical problem-solver with strong attention to detail
- Experience writing high-quality Python or similar production code
- Familiarity with tools and platforms such as Python, SQL, Databricks, Git, and cloud environments
- Working knowledge of Azure or similar cloud platforms
- Understanding of data quality issues and their impact on analytics and modeling
- Experience working in Agile development environments
- Excellent written and verbal communication skills
- Ability to work independently while thriving in a collaborative team
- Experience deploying and monitoring models in production
- Background in multiple industries or business domains
- Exposure to statistical software such as R or MATLAB
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