Data Scientist
Orange Business Services
About the role
| Interlock with project product owners to deliver business requirements. |
| Discover the information hidden in vast amounts of data. |
| Design, implement & evaluate new techniques and models of data science – data mining, text mining, statistical analysis, machine learning and predictive analytics techniques… – to solve our unique set of problems. |
| Have the ability to design, develop & demonstrate the technical solution/models towards achieving use case success criteria. |
| Have the project management skills in agile environment to lead & drive execution of various use cases/projects towards closure & benefits realization. |
| Work closely with core development teams to deploy models and technical solutions seamlessly into our production system. |
| Build new tools to improve our data science pipeline from exploration to production. |
| Help the company make smarter decisions based on information gathered. |
| Investigate and consolidate new data sources from different OBS tools and systems, prepare the data, evaluate and guarantee their quality and relevance by applying cleaning / filtering. |
| Work with OBS and CSO (Int’l and France) team members and end users to mock-up, specify and define Digital and Data use case requirement or analytical request. |
| Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. |
| Ability to clearly understand and document problem statement or use case definition and present it, clarify it with business while attaching business value in numbers to each use case.. |
| Defines company data assets jobs to populate data models. |
| Ability to explore data sets and work to provision them & engage in Exploratory Data Analysis. |
| Have the expertise to evaluate various techniques, models, analysis to address a specific use case and perform a selection most appropriate to the use case. |
| Modelisation (Data Science) + ML OPS implementation (ML Engineer) |
About you
| Excellent understanding of machine learning techniques and algorithms |
| Proficiency in using query languages such as SQL, Hive, R and Python |
| Good applied statistics skills, such as distributions, statistical testing, regression etc |
| Good scripting and programming skills |
Additional information
| Experience with data visualization tools, such as D3.js, GGplot etc |
| Experience with common data science toolkits, such as R, NumPy, MatLab, Dataiku etc |
| Knowledge of TensorFlow, MATLAB, Deep Learning, K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch. |
To apply for this job please visit orange.jobs.
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