- Job Location : Remote.

- Contract Duration : 6 Months+.

- Experience : 10+ Years.

Job Summary :

Required Skills and Qualifications :

Programming Proficiency :

- Strong Python skills are essential, including experience with core Python, data manipulation libraries (Pandas, NumPy), and scientific computing libraries (SciPy), LSTM, Regression model etc.

- Familiarity with optimization libraries (e.g., PuLP, OR-Tools, SciPy.optimize) is highly desirable.

Data Science and Machine Learning :

- Solid understanding of statistical analysis, data modelling, and machine learning concepts.

- Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.

Optimization Techniques :

- Knowledge of operations research principles and optimization methodologies (e.g., linear programming, integer programming, constraint programming, heuristics).

- Ability to translate business optimization problems into mathematical models.

Data Engineering and Databases :

- Experience with SQL and NoSQL databases.

- Familiarity with data warehousing concepts and ETL processes.

- Experience with cloud platforms (AWS, Azure, GCP) and their data services.

Supply Chain Knowledge :

- Understanding of supply chain principles, Forecasting Algorithms, order fulfillment processes, inventory management and logistics.

This role is ideal for a developer passionate about using code and data to solve real-world business challenges in logistics and operations.