At Metyis we are looking for data scientists at all levels of experience to help us growing our data function. As a Data Scientist you will be responsible for leveraging on technologies and platforms to model, analyze and transform data into business knowledge and value.
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 capitalizing 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.
As a Data Scientist you will be responsible for transforming data into business knowledge and value. You will apply statistical techniques that allow answering questions about our clients' businesses and decisions, building machine learning model to predict future events and automating existing processes. You will also team up with Data Engineers to ensure we have the best data platforms and organization to maximize the potential of all data and with Software Engineers to maximize the scalability, reliability and availability of all your machine learning models.
Apply your expertise in quantitative analysis, data mining, and data communication to transform numbers into compelling insights and stories that create business value and drive decisions.
Contribute with designing data initiatives that support on understanding user behaviors, long-term trends and/or move key metrics, in the field of marketing analytics, CLM/CRM analytics and/or risk analytics.
Solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Design, run and evaluate data-driven experiments in live environments that intend to optimize internal processes.
Communicating results and insights via engaging presentations.
Preparing and facilitating data-related workshops.
Managing stakeholders and communicating with executives.
Coaching and mentoring team members.
Proven experience in statistical analysis (i.e. Descriptive statistics, Principal Component Analysis, Clustering).
Proven experience in building analysis in at least one professional programming language (i.e. from SAS, R, SPSS, Eviews, R, Python, SQL, Teradata, Hive).
Proven experience in querying relational databases (e.g. via SQL, noSQL).
Experience training, testing and deploying machine learning models in at least one programming language (i.e. R, Python or Scala).
Proven experience communicating the results of analyses to product leadership teams to influence the strategy.
Proven experience designing hypothesis and executing experiments in an industry setting (i.e. A/B testing).
Good knowledge of the English language.
Nice to have:
An advanced degree in quantitative field (e.g. mathematics, computer programming, etc.).
Experience with large data sets and distributed computing (Hive/Hadoop).
Professional experience in at least of business domain such as finance, supply chain or e-commerce.
Opportunity to accelerate the pace of digitalization & ecommerce growth through advanced technology, business intelligence and analytics.
Driving high-impact insights enhancing decision making across the entire organization.
Driving brand equity and digital sales through enhanced digital experiences.
Interaction with senior business and ecommerce leaders on regular basis to drive their business towards impactful change.
Become part of a fast growing international and diverse team.