Job description

About the Company
Our client is a large manufacturer of construction and mining equipment organisation. They have largest global presence in these industries.
The history of the organisation is in doing, creating, and building, problem solving, innovating, testing, servicing and improving.

About the Role
Senior member experienced in creating and delivering data focused solutions that can assist in building and contributing the capabilities of the team. This is a fantastic opportunity to come in and put your stamp on the way data is viewed and utilised across the organisation. In this role you'll be an integral part of the team to improve our architecture, design, coding, deployment and support.
Provide benefits to mining customers in the area of Fleet Management, Health Monitoring, Safety Systems and Autonomous Operations. Contribute to the planning and delivery of projects. Work in a team environment, with worldwide scope, combining your knowledge of information, communication or electronic technologies with customer requirements to advance the product in the marketplace.
Our workgroup is committed to a diverse and inclusive culture whereby we respect the unique talents, experiences and viewpoints of all our employees.

Specific Responsibilities include:

  • Hands on developing and delivering data solutions through the full lifecycle in collaboration with several software and data teams alongside a small but growing team of data scientists
  • Leverage your working knowledge of best practices in data focused solutions, proactive research into emerging trends, intimate understanding of market context and your own network of advisors to inform the strategy
  • Help identify gaps and innovative solutions to bridge any capability gaps and update your catalogue of Data Science services accordingly


About You
Required Skills and Experiences:

  • Proven track record delivering Data Science solutions with material commercial benefit
  • You will have experience solving analytical problems through quantitative approaches and machine learning methods
  • You are familiar with standard tools for clustering, dimensionality reduction, regression, and classification.
  • You have a flexible and pragmatic approach to technology and are proficient in Python or R (or both!) and ideally have strong experience in using languages, such as Java, C#, or shell scripts.
  • Good experience on Cloud environments including Azure, Google, AWS
  • Ability to work within a product development group


Desired Skills and Experience (any of the following):

  • Degree in a relevant discipline in Statistics, Machine Learning, Mathematics, Actuarial Studies, Computer Science, Economics, or any other related quantitative field
  • Any experience on ML Pipelines & MLOps (DevOps for Machine Learning), Data Factory, Data Lake, Databricks & Power BI.
  • Experience with fleet management or vehicle monitoring systems
  • Experience in mining, civil engineering or surveying industry.
  • Pytorch and/or Tensorflow experience
  • Deep Learning and Signal Processing


General Skills:

  • Strong communication skills working with local and remote teams with the ability to assimilate knowledge from multiple sources
  • Customer and quality focused
  • Self-motivated
  • Eye for detail
  • Agile mindset
  • Problem solving and troubleshooting


The Benefits

To apply, upload your current resume in Microsoft Word format only (.doc or .docx). If you would like to have a confidential discussion, please contact Shams Shirazon 0422240069 quoting ref no. JO-2111-107439. Want to know more about Davidson? Visit us at www.davidsonwp.com

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