Avenga jest światowym ekspertem w obszarze IT i transformacji cyfrowej. Świadczymy szeroką gamę usług - od doradztwa strategicznego, usług związanych z customer experience, tworzeniem oprogramowania oraz usługi outsourcingowe takie jak: staff augmentation, team leasing i permanent employment.
Avenga to ponad 2500 profesjonalistów i 20-letnie doświadczenie. Jesteśmy obecni w Europie, Azji i USA.
Data Scientist
Miejsce pracy: woj.
łódzkie
Nr ref.: APD/DS/remote/08
Nr ref.: APD/DS/remote/08
Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services, software products and outsourcing services like: staff augmentation, team leasing and permanent employment.
Together, we are more than 2500 professionals with over 20 years of experience. We are present in Europe, Asia and the USA.
Responsibilities:
- We are looking for Data scientist with experience in Mathematical optimization (Mixed Integer Programming) problems.
- Strong in Python and software development.
- Will support in the industrialization of the Personify codebase, including code optimization and refactoring. The focus of development will be on the Next Best Action engine.
Requirements:
- Degree in Data Engineering, Computer Science, Statistics, Mathematics, Information Systems or other relevant experience.
- Min. of 4 years of overall professional experience including:- at least 4 years of professional experience in Data Science.
- Practical experience in any of the areas: Computer Vision, NLP, Predictive Modelling - Experience should be covered by projects that person delivered.
- Technology-related skills: - SQL databases (intermediate level) - Python or R and related libraries (intermediate level).
- Very good understanding of Data Science basics: train/test model data sets, overfitting, classification, clustering, etc..
- Basic experience (ability to use) of technologies supporting building data pipelines: Ansible, Bamboo, Docker, Kubernetes, Git, etc..
- Knowledge of and experience of working using agile methodologies.
- Responsible, reliable, goal and problem solution-oriented.