Work with us
We are looking for top talents to join our team!
If you are interested in cutting-edge technologies and you want to work in a highly stimulating environment check below our open positions.
Open Positions
Senior Data Scientist
(Milan office)
Responsibilities
- Autonomously define a data ingestion pipeline (exploration, quality assessment, cleansing and structuring for downstream processing)
- Autonomously design accurate and scalable prediction algorithms
- Work with engineering team to bring analytical prototypes to production
- Autonomously support domain experts in the generation of actionable insights for business improvements
Requirements
- 4+ years of experience in quantitative analytics and data modeling
- Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics or other Machine Learning-related topics from top level University
- Deep understanding of statistical modeling and machine-learning algorithms
- Experience with git and teamwork in data science
- Working knowledge of SQL
- Working knowledge of Bash
- Working knowledge of Hadoop framework (Spark, Hive, etc.)
- Fluency in Python (libraries: numpy, pandas, scikit-learn, matplotlib, …) and R (packages: tidyverse, caret, mlr, xts, zoo, …)
- Experience implementing Deep Learning algorithms with Tensorflow and Keras
- Basic knowledge of Scala
- Basic knowledge of Italian
- Fluency in English
Nice to have
- Previous experience in consulting
- Fluency in Italian
Data Scientist
(Milan office)
Responsibilities
- Autonomously define a data ingestion pipeline (exploration, quality assessment, cleansing and structuring for downstream processing)
- Design accurate and scalable prediction algorithms with minimal supervision from senior data scientists
- Work with engineering team to bring analytical prototypes to production
- Work with senior data scientists to support domain experts in the generation of actionable insights for business improvements
Requirements
- 1 – 3 years of experience in quantitative analytics and data modeling
- Master’s degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, etc.)
- Deep understanding of statistical modeling and machine-learning algorithms
- Experience with git and teamwork in data science
- Basic knowledge of SQL
- Experience with Hadoop framework (Spark, Hive, etc.)
- Fluency in Python (libraries: numpy, pandas, scikit-learn, matplotlib, …) and/or R (packages: tidyverse, caret, mlr, xts, zoo, …)
- Basic knowledge of Italian
- Fluency in English
Nice to have
- Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics or other Machine Learning-related topics
- Experience in the implementation of Deep Learning algorithms with Tensorflow and/or Keras
- Basic knowledge of Bash
- Basic knowledge of Scala
- Fluency in Italian
What we offer
- Competitive salary
- Opportunity of smart-working
- Opportunity to grow professionally and personally working hand to hand with senior data scientists from top-tier international universities (Sissa, University of Cambridge, KTH, University of Warwick, IDIDS)
- Exposure to cutting-edge technologies (e.g. Big Data Hadoop-based applications, Deep Neural Networks, Reinforcement Learning) and very innovative projects that leverage on machine learning techniques to generate value
- Occasion to build end-to-end applications that embed all stages of the data-value chain (ingestion, transformation, analytics and frontends), with exposure to data engineering, data science and data viz challenges
- Direct interaction with clients and use cases in many different fields: Energy, Telecommunication, Banking, Finance, Insurance, Retail, Logistics, etc…
Applications
To apply for a position send your CV and a cover letter to careers@cgnal.com