BA/MS/PhD degree in Computer Science, Physics, Math or similar;
Strong mathematical background in Machine Learning and Deep Learning;
Over 5 years of work experience in Machine Learning;
Over 2 years of data science team leadership experience;
Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
Solid understanding of anomaly detection and signals processing and analysis;
Ability to postulate and verify research hypotheses, explain and present results.
What you will do
Develop innovative machine learning algorithms for analysis of time series, generated by industrial process;
Analyse algorithm performance bottlenecks and propose solutions for improvement and optimisation;
Prepare new algorithms for deployment and support deployment to production;
Monitor algorithms metrics, statistics and performance;
Work in a team and collaborate with other colleagues to contribute into common knowledge base;
Manage individual project priorities, deadlines and deliverables;
Mentor and navigate team members in terms of possible problem solutions while leaving the space for their own problem solving skills development and creativity;
Perform project planning and track the project progress, make sure that all the deliverables are finished within deadlines and at the highest quality;
Be proactive on possible improvements of the overall team performance and seek for tight collaboration with other teams within the company who work on similar projects.
BA/MS/PhD degree in Computer Science, Physics, Math or similar;
Strong mathematical background in Machine Learning and Deep Learning;
Over 3 years of work experience in Machine Learning (time series);
Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
Solid understanding of anomaly detection and signals processing and analysis;
Solid Python skills, application focused rather than data engineering;
Solid experience of working with relational databases (PostgreSQL, MySQL, Oracle);
Practical skills with Frontend (Angular/React/Vue);
Practical Java programming skills;
Docker experience.
What you will do
Develop, test, deploy, maintain and improve software (domain model, web services, integration with 3rd party services) written in Python 3 and Java 11;
Interact with stakeholders including client-facing and Data-science teams to gather and analyse requirements for new features, then design and implement them;
Drive adoption of best practices in code health, testing, and maintainability;
Provide guidance and custom configurations for client-facing team installations.
Strong problem solving, communication and analytical skills.
Experience working in Agile teams as a Business Analyst. Agile mindset.
Ability to prioritise multiple tasks and demonstrate commitment to meet deadlines.
High-performance orientation and excellent entrepreneurial thinking.
High working capacity, neatness, attention to details, multitasking.
English speaking (B2) and writing abilities.
Business analysis experience in complex systems development; experience in B2B software development.
What you will do
Be a connection point between IT and business, work closely with Product Owner, UX Designer, Dev team and customers.
Dive deep into the stakeholders needs; drive changes that will bring value to the business. Elicit, analyse and document stakeholders requirements.
Create (with the team and the customer) the Product concept, prepare and maintain solution requirements, gather assumptions, limitations, prepare prototypes.
You will be in charge of tasks decomposition in Jira, defining tasks dependencies, priorities within a particular feature request.
Prepare presentations and documentation as required. Conduct knowledge sharing sessions with the team.