21.04.22
Про роботу
Takeoff has a wide area of data science challenges:
- Time Series Forecasting;
- Combinatorial Optimization, Integer and Mixed-Integer Programming Problems related to:
- Geometry of Space;
- Vehicle Routing Problem;
- Assortment and Inventory Optimization;
- Network & Cluster Mapping
- Machine learning for natural language processing and text analytics;
- Process mining
What will you do:
- Design, implement and maintain features into existing solutions
- Exploratory data analysis
- Develop in-house data models and algorithms driven by business needs
- Participate in on-call duties (as needed)
Key Qualifications:
- Developed completed solutions using two or more of the technologies mentioned.
- R, Python, Rust (nice to have), SQL
- Experience with serverless technologies, microservices architectures, web services, RESTful APIs, message queues, and SQL/NoSQL databases.
- Knowledge of Agile principles and Scrum or Kanban methodologies.
Preferred Qualifications:
- Previous experience on GCP or similar cloud platforms.