Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment.
Working with other Senior Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization.
Become part of a fast growing international and diverse team
We are Metyis. We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients.
With our multidisciplinary teams we create bold strategies and innovative solutions that are tailored to our client’s needs and help them capitalising opportunities. Together we strive to bring long-lasting impact and celebrate collective victories.
At Metyis we share and entrepreneurial mind-set, a compelling passion to create and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction that the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.
Become part of the journey, become part of Metyis. Partners for impact.
Complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics.
Collect functional and non-functional requirements, consider technical environments, business constraints and enterprise organizations.
Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
Collaborate, closely with partners, strategy consultants and data scientists, in finding innovative approaches to business issues, in a flat and agile organization where personal initiative is highly valued.
Support the organization to scout the possible approaches, evaluating pros & cons, and estimating times and efforts required.
Share data engineering knowledge by giving technical trainings to youngest team members.
Guide and mentor team members.
Over than 6 years of professional experience in software engineering domain.
An advanced degree in computer science or in telecommunications.
Strong technical skills regarding big data and data-oriented solutions. Strong working knowledge of Azure, AWS and Google cloud services. We prefer to build applications on Python, occasionally Scala.
Ability to talk the language of statistics, finance, and economics
Profound knowledge of the English language
Good to have experience Retail, FMCG, and/or Banking industry