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.
Metyis is growing! We are looking for an experienced professional to join our Data Scientist team.
Performing data analysis in the field of Marketing analytics, CLM/CRM analytics and/or Risk analytics
Analyses conducted in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicating analyses via compelling presentations
Solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis
Preparing and facilitating workshops
Managing stakeholders and communicating with executives
Coaching and mentoring team members
3-6 years of professional work experience in the analytics domain
An advanced degree in quantitative field (e.g. mathematics, computer programming, etc.)
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib)
Ability to talk the language of statistics, finance, and economics a plus
Profound knowledge of the English language
Good to have experience in Retail and/or Banking industry