Python Data Science Engineer

Work Arrangement: Hybrid – 3 days onsite per week at CIC, Charlotte, NC Employment Type: Contract Duration: Short-term contract; extension possible based on business needs Interview: Microsoft Teams Job Overview We are seeking a Python Data Science Engineer with C#/.NET who can bridge the gap between software engineering and data science. The application is primarily built using C#/.NET, with Python used for Data Science and AI/ML capabilities. The ideal candidate will have hands-on experience with both C#/.NET and Python, along with a strong understanding of how Python-based Data Science/ML components integrate into enterprise .NET applications. Candidates do not need to be equally strong in both technologies. We are open to strong .NET developers with meaningful Python/Data Science experience, as well as strong Python/Data Science professionals with previous .NET experience. Key Responsibilities • Develop, enhance, maintain, and troubleshoot applications using C#/.NET. • Develop and support Python-based Data Science, AI, and ML components. • Integrate Python/Data Science functionality into .NET applications and enterprise workflows. • Productionize and deploy Data Science/ML models into enterprise environments. • Collaborate with Software Engineers, Data Scientists, Data Engineers, and other technical teams. • Troubleshoot issues across both the application and Data Science/ML layers. • Work with Oracle and SQL databases for application and data-related requirements. • Support deployment and operation of applications and ML/Data Science workloads in cloud/container environments. • Participate in development, testing, deployment, monitoring, and production support activities. • Translate Data Science/ML requirements into reliable, scalable production solutions. Required Skills • Strong hands-on experience with C# / .NET. • Strong hands-on experience with Python, including the ability to independently write and understand Python code. • Experience working with Oracle and/or SQL databases. • Understanding of Data Science, AI, and Machine Learning concepts and workflows. • Hands-on experience deploying, productionizing, or operationalizing Data Science/ML models. • Experience integrating Python/Data Science components within a .NET application environment. • Strong debugging and problem-solving skills across application and Data Science layers. • Ability to work effectively in a collaborative engineering environment. Skills: data science,c#,python,.net,c,ml,data,application,enterprise,databases,components,engineers