Data Scientist

Location: Perth
Job Type: Permanent
Specialisation: Business Systems/Analysts
Salary: Negotiable
Reference: PR/007264_1632118045
Contact: Mark Norman
Email: email Mark

Urgently seeking an experienced Data Scientist with extensive hands-on experience in machine and deep learning, statistical modeling, and software development, proven scientific research skills, and technical leadership as well as commercial experience required to apply these skills in a consulting-based project environment.

Required experience :

  • Significant experience in the design and build of data science solutions for customers.
  • Strong experience with Microsoft Technologies
  • Hands-on experience in data science, machine learning and statistical analytics.
  • Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.
  • Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, natural language processing and related topical analytics fields.
  • Understanding of data science methodologies and the processes of data scientists follow in problem-solving.
  • Significant experience in implementing/deploying in Azure/AWS/GCP
  • Able to manage teams across multiple projects.
  • Comfortable actively engaging and leading sales and business development opportunities with clients.
  • The extensive commercial or academic experience of developing ML & AI solutions using R and Python.
  • In-depth knowledge of machine learning algorithms.
  • Hands-on experience and skills in developing complex query structures with SQL and/or NoSQL query languages.
  • Strong business analysis skills and a deep understanding of analytics.

Desirable skills :

  • Big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores.
  • Machine learning (RHadoop, Spark MLlib).
  • Algorithmic and programming skills in Java or C/C++ or C# or Scala.
  • Solid grounding in applied mathematics, especially optimization and graph theory, and statistics.

Employees benefits :

  • Additional 5 days personal Leave + Opportunity to purchase extra annual leave
  • Wellbeing & Gadget Allowance
  • Flexible working hours.
  • Generous parental leave
  • Corporate private health insurance discounts
  • Ongoing training.