Contract type Permanent
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, IIoT, logistics processes and 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
Document all aspects of software design, development, debug and release
As a successful applicant, you would have a Masters Degree/PHD in Computer Science or a related technical field with the ability to manage stakeholders and communicate well. You will have strong experience in Machine Learning with at least 5 years of Python or R development experience and good experience in SQL, with the following desirable skills/experience:
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/Azure or equivalent
Experience with common data science tools such as R, python, scipy, sagemaker, Big data technologies, Tableau and machine learning tools
Experience working in Hadoop ecosystem and Spark is a plus
Good applied statistics skills such as distributions, statistical testing, regression, etc
Ability and desire to learn and pick up new tools and technologies for problem solving, enhancing analysis results and accuracy, and optimizing workflow efficiency
Independent and possess creative problem solving skills to address business problems from different perspectives
Ability to distil and communicate data to all organisational levels
Practice a lean agile scrum process to continuously deliver value to customers
Able to interact with development teams to determine project requirements
To apply for this position, please send in your application, indicating the job title in your resume.
Are you full of ideas? Are you keen to take on responsibility and really achieve something? Then our doors are open to you. This is a company that lives out its values, gives people the freedom to use their own initiative, offers many development opportunities and many exciting projects – all of which awaits you here.
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