Data Science Associate - Milano, Italia - Metyis

Metyis

Azienda verificata

Milano, Italia

2 settimane fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

We are looking for a Data Science Associate with for a full-time position to join our team in Milan.

What we offer:

A balanced work environment where you will have autonomy, responsibility, and ownership while working with a vibrant and dynamic team.
A chance to work alongside more junior colleagues, which will allow you to improve your leadership skills, and more senior coworkers who will advise you on your further career development.
A modern office with everything you need located in Milan.

What you will do:

Metyis is growing We are looking for a Data Science Associate to join our Data team, your responsibilities will be:

Collaborate with cross-functional teams including marketing, sales and operations.
Develop predictive models and algorithms to optimize KPIs.
Utilize data visualization tools to present findings and communicate results to both technical and nontechnical stakeholders.
Travel frequently to various locations, including the United States, to collaborate with client and gather data for research purposes.
Stay updated with the latest advancements in data science, machine learning, geospatial analysis, and pharmaceutical research to drive innovation within the organization.
Participate in the development of datadriven strategies and solutions to address key challenges in the donor industry.

What you will bring:

***:

D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related field.

Strong programming skills in Python.
Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP):
Excellent analytical and problem-solving skills, with a keen attention to detail.
Ability to work effectively in crossfunctional teams and adapt to a fastpaced, collaborative environment.
Strong communication skills and the ability to convey complex technical concepts to diverse audiences.
Knowledge of geospatial analysis tools and techniques for leveraging geographical data.
Previous experience in the pharmaceutical or healthcare industry is a plus.
Familiarity with tools and databases related to geospatial analysis and geographical information systems (GIS) is a plus.