The data scientist understands how data can be used to create business value, identifies opportunities to do so and drives or implements data science projects to implement them.
Main Tasks
Working cross-functionally with business managers/product managers/engineers and designers to gather requirements and to understand their business processes
Applying machine learning techniques, in core subject areas including: filter life time predictions, air quality management and recommendations and intelligent industrial filtration.
Designing experiments and back-test algorithms using historical data
Making strategic data architecture recommendations
Implementing data science experimental framework to enable organization-wide experiments
Design, develop, test and deploy analysis, hypothesis, and machine learning models that solves business challenges and uncovers insights to enhance business performances
Design, implement, and manage data analytics pipelines from end-to-end
Collect, cleanse and transform data from multiple data sources for report generation and visualization for business units and technical audiences
Develop machine learning classifiers, algorithms and processes
Data mining of data sets of various types and formats
Your Profile
Masters Degree/PHD in Computer Science or a related technical field with the ability to manage stakeholders and communicate well.
Strong experience in Machine Learning with at least 10 years of Python or R development experience and good experience in SQL. Experience in Hadoop & Spark is advantageous.
Proficient in programming languages such as Python or Java is required
Extensive data analytic experience in Pandas, NumPy, scikit-learn, Jupyter, R, etc.
Demonstrated experience applying and showing an understanding of machine learning algorithms for classification, regression, clustering, etc.
Developed and deployed applications running on public cloud systems, such as AWS or equivalent
Experience working in Hadoop ecosystem and Spark is a plus
Experience with common data science tools such as R, python, scipy, sagemaker, AWS, Dynamodb, Tableau
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