Senior Data Scientist/ML engineer (вакансія неактивна)

About the project:

Big international company whose main business is related to gift cards and their functioning: issuing and distribution of cards, processing of payments, exchanging, refilling, etc. It also operates with many other types of digital content like eGifts, incentive cards, promotions, rewards, etc. The company has several e-commerce sites and platforms that are helping to distribute the gift card products. Also, the company has a bunch of own core services that perform all the management of gift cards in the ecosystem.

Technical stack: AWS, Redshift, Python, Django. Some ML related tools can be picked by engineers.

Working locations: UK, Ireland, Germany, Switzerland, Netherlands, Mexico, Canada.

Responsibilities:

• Working and professionally communicating with the customer’s team;
• Taking up responsibility for the implementation and delivering of ML solutions;
• Participating in requirements gathering & clarification process, proposing optimal architecture solutions, owning the implementation;
• Building and tuning machine learning algorithms for solving business problems in E-commerce and Retail;
• Developing AWS machine learning infrastructure to support and maintain model serving and training;
• Analysis of data for patterns;
• Visualization of data;
• Continuous learning.

Requirements:

• Proficiency in ML development (feature engineering, algorithm selection, statistics);
• Experience in FinTech, E-Commerce, or Retail domains is essential;
• Strong skills in applied mathematics, data analysis,s and statistics;
• Understanding of modern machine learning techniques and algorithms;
• Proficiency in Python and SQL;
• Experience in building REST API applications;
• Understanding of microservices architecture;
• Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow;
• English level: Upper-Intermediate or higher;
• Online availability overlap with US Pacific time zone till 12:00 PST.