During our twelve-year journey, we help our clients to create applications and enterprise ecosystems from scratch in order to achieve their business goals.
And now we’re looking for an experienced Data Scientist / Machine Learning Engineer to join a fast growing fintech product. It’s a modern mobile neo-banking application that allows users to create and manage accounts for individuals and legal entities, solves real-life problems and helps millions of people across the USA.
— Own, build and continuously improve data infrastructure. Become an expert on all aspects of data science, machine learning and analytical infrastructure;
— Own, build and manage scalable batch/real time pipelines for ingesting, processing, and delivering data to our business users;
— Understanding full lifecycle Machine Learning solutions;
— Apply quality measures to ensure data governance, accuracy, quality and integrity;
— Help drive engineering-wide initiatives with other engineering leaders;
— Contribute to influence the ML infrastructure roadmap based on the feedback from customers;
— Act as a bridge between the business and technical stakeholders in the development of new ML models and data solutions;
— Identify new opportunities to leverage data science to different parts of the various Yalantis projects;
— Research, patterns identification and formulating insights;
— Build the ML infrastructure and platform to accelerate and make its development accessible and efficient to all engineers.
— Hands on experience with DS/ML concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
— Experience working in Linux and Docker environment;
— Experience with AWS and AWS Machine Learning services (such as AWS Personalise, SageMaker etc) or Google and GC Machine Learning services;
— Good knowledge of the Python programming language;
— Experience translating a high-level strategy and roadmap into an execution plan will be a big advantage;
— Can effectively set and communicate priorities for self tasks and needs;
— Experience working on financial models or banking products;
— Holds a master’s degree in computer science, engineering, or math;
— Upper-intermediate English level;
— Great compensation and social packages;
— Medical insurance;
— Sport and education compensation;
— Opportunities for professional growth and support for skills development;
— Individual development plan;
— The best networking opportunities with international clients;
— Knowledge-sharing atmosphere;
— Team buildings and corporate activities;
— Full financial and legal support for private entrepreneurs;
— Special corporate currency and merch store.
We expect our future colleagues to have a strong compliance management background and good communication skills. Join us and send your CV to email@example.com
Yalantis accepts recommendations for all vacancies under the referral program both for cooperation in the Dnipro and Kyiv and also for remote work from any city of Ukraine. You can receive a financial reward in case of a successful recommendation, and we will reinforce our great team. You can recommend your candidate here: bit.ly/2MIO1JN