SENIOR DATA SCIENTIST

Manufacturing may be one of the least flashy spaces, but it is a key pilar of the economy.
It employs 33 million people, in Europe alone, and makes the products we utilize daily.
By embracing advanced analytics, manufacturers can significantly enhance production quality and efficiency.
smartFAB’s augmented analytics platform employs automated machine learning and other forms of AI to deliver actionable and explainable, cross-functional insights to decision-makers of all skillsets.
It puts people at the center of decision-making and empowers manufacturers of all sizes to make more with less.
smartFAB is seeking a Data Scientist to join our dynamic team in Milan.
You will apply cutting-edge AI and ML algorithms to solve real-world challenges and explain complex machine-learning concepts in simple business terms.
About the position As a Data Scientist, you will apply AI and ML algorithms to solve real-world manufacturing challenges and explain complex machine-learning concepts in simple business terms.
You will be involved in all phases of product development from conceptualization of features, model implementation, unit testing, performance analysis, and deployment.
You are an analytical problem solver who enjoys diving into data to solve real-world problems, is excited about investigations and algorithms, can multi-task, and can credibly interface between internal and external stakeholders.
Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.
You will work both remotely and in the Milan office.
Responsibilities Analysis of large amounts of data from different various manufacturing data sources.
Research and build statistical and machine learning models and algorithms.
Improve upon existing machine learning methodologies (develop and test model enhancements, run computational experiments, and fine-tune model parameters).
Formalize assumptions about behavior, create definitions of outliers, develop methods to systematically identify and fix outliers.
Communicate verbally and in writing to business customers with various levels of technical knowledge.
Qualifications & Skills Master’s or PhD in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related quantitative field.
3+ years of relevant work experience in an analytical role involving data extraction, analysis, statistical modelling, and communication.
Excellent understanding and demonstrated ability to use machine learning algorithms to solve real-world problems.
Significant experience deploying ML models and solutions and passion for getting hands dirty with code.
Excellent knowledge of Python and its data-related libraries (pandas, numpy).
Experience with Cloud platform architectures (AWS, Azure, GCP) and knowledge of Kubernetes.
Natural curiosity and desire to learn and excellent problem-solving skills.
Strong verbal and written communications skills with the ability to effectively advocate technical solutions internally and externally.
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Does that sound like you? We would love to hear from you! Please send your CV to  .
We greatly value previous contributions to opensource projects through GitHub or a portfolio of personal projects, please highlight them in you CV.