Your mission
Well, we keep the world of machinery moving.
How? By connecting supply chains and harnessing the power of data in a never seen way. We believe that the flow of goods depends on the flow of data, which is why we connect thousands of machine manufacturers and dealers and bazillions of machines on our platform, centralize their aftersales relevant data and make sure parts and services are available whenever, and wherever they're needed.
ClearOps is on the cutting edge of revolutionizing the supply chain industry through hyperconnectivity. We seek an adept Python Developer/Data Scientist who excels in deep learning architectures and operational research, to elevate our platform's forecasting, inventory, and replenishment planning capabilities. This role is instrumental in our mission to automate and streamline after-sales service operations, applying predictive analytics to foster informed decision-making and efficiency.
Responsibilities:
- Develop and maintain python framework and python functions based on libaries such as Pandas, RxPy, SciPy, TensorFlow, and PyTorch, focusing on scalability and performance.
- Lead the development of advanced analytics and models for forecasting and inventory optimization, employing deep learning and statistical techniques.
- Conduct thorough code reviews to ensure adherence to best practices in software development and data science.
- Design, implement, and maintain a broad suite of tests to ensure the robustness and reliability of our analytical models.
- Participate in task estimation and brainstorming sessions for new feature implementations, emphasizing data-driven operational improvements.
- Engage in Agile Scrum teams, contributing to sprints and periodic meetings to maintain alignment and drive innovation.