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Job Summary


Job Type
Permanent

Seniority
Mid

Years of Experience
At least 5 years

Tech Stacks
Analytics
Scipy
R
Jupyter
Pandas
NumPy
Azure
Spark
SQL
Hadoop
Python
AWS
Java

Job Description


Apply
  • 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
Your profile

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.

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