Data Science Associate

Big data and analytics

Mid

Porto

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer 

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 a 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.

What you will do 

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.

What you’ll bring  

3 - 5 years of professional work experience in the analytics domain
An advanced degree in a 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 the Retail and/or Banking industry