Data Science Associate

Big data and analytics

Mid

Barcelona

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

Interact with senior stakeholders at our clients on regular basis, to drive their business towards impactful change.
Working with 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

Mine the data from internal and external sources.
Help business and the team to understand the data.
Proactively come up with findings and data insights.
Connect with different data stakeholders.
Prepare data so that it can be consumed by Data Science models.
Critically look at the data quality.
Build and support Data Science models.

What you’ll bring

At least 3 years of relevant experience in data analysis, advanced analytics or data science.
Strong mathematical background: understanding of general mathematics, differential calculus, linear algebra, statistical analysis, complex analysis, time series analysis, optimization methods.
Good programming skills and experience of working with Python.
Excellent SQL knowledge.
Experience of building statistical, machine learning and optimization models.
Experience of working with deep learning frameworks (Tensorflow, Pytorch or Mxnet).
Distinctive plus: Ability to build Web Services, Hadoop/Hive/Spark experience, AWS knowledge, SAP products knowledge, in particular SAP BW, SAP HANA.
Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders.