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Data Scientist / Machine Learning Engineer

Creata il 19-02-2019
Location Rozzano

Descrizione

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better services. Your primary focus will be in performing exploratory analysis, applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. You will be part of the Digital Innovation team and report to the Chief Digital Officer.


Responsibilities

• Exploratory analysis of medical datasets

• Selecting features, building and optimizing classifiers using machine learning techniques

• Data mining using state-of-the-art methods

• Extending company’s data with third party sources of information when needed

• Enhancing data collection procedures to include information that is relevant for building analytic systems

• Processing, cleansing, and verifying the integrity of data used for analysis

• Doing ad-hoc analysis and presenting results in a clear manner

• Creating automated anomaly detection systems and constant tracking of its performance


Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, Support Vector Machines, Random Forests, etc.

• Experience with common data science toolkits, such as Python (numpy, pandas, seaborn, scikit-learn, dask), MatLab, R, Weka. Ability to code in C++ is a plus. Excellence in at least one of these is highly desirable

• Experience with online cloud deployment and visualization tools (Plotly Dash, Heroku, D3.js) is highly desirable

• Proficiency in using query languages such as SQL, Hive, Pig

• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase (depending on project needs)

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

• Good scripting and programming skills. Ability to produce both prototype and production-ready code. Experience with test-driven development is a plus

• Plus but not mandatory: Ph.D. in a STEM discipline (Engineering, Physics, Mathematics) and 1 year of relevant industrial experience, or Masters with 3 years of relevant experience

• Good knowledge of Google Cloud ML/Al systems and products is a plus

• Great communication skills

Benefit

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