Job Description:
As a Data Scientist, you are able to exploit the data in order to extract meaning and interpretation; you love to build mathematical and statistical models, design and implement algorithms with the aim of gain insights and suggest data driven decisions. You will be part of the Enel Data Science community collaborating with a multi-disciplinary team on a wide range of problems. This position requires strong analytical rigor and hacker mind set to face the multiple data challenges within the Enel Group. You are a data enthusiast and skeptic at the same time, you know what it is needed in order to build a data product that solves business questions and helps analysts to take decisions. You are a data story teller, you see information and patterns where others see just bits. Responsibilities: - Work with large, complex data sets. Solve hard, non-routine analysis problems, applying advanced analytical, statistical, mathematical methods as needed. Be autonomous in end-to-end analysis (e.g. data gathering and requirements specification, processing, analysis, presentations...). - Structure relevant data science questions given a set of business objectives. - Build and prototype analysis and models iteratively to provide insights. - Make business recommendations (e.g. cost-benefit, forecasting...) with effective presentations and communications of findings. - Research and develop analysis, forecasting, and optimization methods to improve Enel's data products. - Strong machine learning, programming, data mining and statistics background. - Proficiency with one or more programming/scripting languages (e.g. Python, R, Scala, Matlab...) Minimum qualifications: - MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) - 3 years of relevant work experience in data analysis or related field (e.g., statistician; data scientist…). - Experience with statistical software (e.g., Python, R, pandas, sklearn...) and database languages (e.g., SQL, Mongo...). - Fluent Italian and English, both speaking and writing; Spanish is a plus. Preferred qualifications: - PhD degree in a quantitative discipline as listed in Minimum Qualifications. - 5 years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. - Applied experience with machine learning on large datasets. - Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. - Demonstrated skills in selecting the proper statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. - Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques Place of work: Rome, Venice (Mestre) This announcement is open to candidates of both sexes under the law L.903 / 77 and D.Lgs n.98/2006, art 27
Additional Info:
Application If you feel you are the person we’re looking for, please register on the site Enel www.enel.it in the "Careers" section- Open postion, responding to this notice[Click Here to Access the Original Job Post]
As a Data Scientist, you are able to exploit the data in order to extract meaning and interpretation; you love to build mathematical and statistical models, design and implement algorithms with the aim of gain insights and suggest data driven decisions. You will be part of the Enel Data Science community collaborating with a multi-disciplinary team on a wide range of problems. This position requires strong analytical rigor and hacker mind set to face the multiple data challenges within the Enel Group. You are a data enthusiast and skeptic at the same time, you know what it is needed in order to build a data product that solves business questions and helps analysts to take decisions. You are a data story teller, you see information and patterns where others see just bits. Responsibilities: - Work with large, complex data sets. Solve hard, non-routine analysis problems, applying advanced analytical, statistical, mathematical methods as needed. Be autonomous in end-to-end analysis (e.g. data gathering and requirements specification, processing, analysis, presentations...). - Structure relevant data science questions given a set of business objectives. - Build and prototype analysis and models iteratively to provide insights. - Make business recommendations (e.g. cost-benefit, forecasting...) with effective presentations and communications of findings. - Research and develop analysis, forecasting, and optimization methods to improve Enel's data products. - Strong machine learning, programming, data mining and statistics background. - Proficiency with one or more programming/scripting languages (e.g. Python, R, Scala, Matlab...) Minimum qualifications: - MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) - 3 years of relevant work experience in data analysis or related field (e.g., statistician; data scientist…). - Experience with statistical software (e.g., Python, R, pandas, sklearn...) and database languages (e.g., SQL, Mongo...). - Fluent Italian and English, both speaking and writing; Spanish is a plus. Preferred qualifications: - PhD degree in a quantitative discipline as listed in Minimum Qualifications. - 5 years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. - Applied experience with machine learning on large datasets. - Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. - Demonstrated skills in selecting the proper statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. - Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques Place of work: Rome, Venice (Mestre) This announcement is open to candidates of both sexes under the law L.903 / 77 and D.Lgs n.98/2006, art 27
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Data Mining
- Machine Learning
- Mathematics
- MongoDB
- Multivariate Analysis
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in R
- SQL
- Statistics
Areas :
Additional Info:
Application If you feel you are the person we’re looking for, please register on the site Enel www.enel.it in the "Careers" section- Open postion, responding to this notice[Click Here to Access the Original Job Post]