Data Scientist

Company:
Location: Perth WA

*** Mention DataYoshi when applying ***

As a Data Scientist, you will lead the development of analytics solutions based on machine learning & statistical predictive algorithms for clients of Data & AI to solve some of their most pressing challenges. We are looking for experienced data scientists 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.

Responsibilities include:
  • Assessment of client requirements and the design of solutions to address them based on data analysis, data science, technology, and business process design.
  • Financial business case development.
  • Data science project and resource planning.
  • Program leadership including delivery team leadership and stakeholder management.
  • Development of operating models and strategies for clients in analytics and data science.
  • Provision of advice to clients on approaches to solving complex business problems through the application of technology and data analysis.
  • Mentoring of more junior team members in data science, consulting, and advisory skills.
  • Supporting the development of the company brand through participation in communities, blogs, forums, or other public domains under the headline of data science, analytics, or related topics.
  • Lead on the development of machine learning, artificial intelligence, and statistical algorithms and solutions using R and Python.
  • Prepare advanced data analyses and present results of these analyses to business stakeholders.
  • Engage with clients throughout the lifecycle of the project on both advisory and delivery assignments.
  • Participate in pre-sales activities to demonstrate how data science and statistics may be applied for the commercial advantage of potential clients.
  • Develop solution prototypes and deliver CRP (Conference Room Pilot) sessions.
  • Define and help to design the analytics solution architecture from a pragmatic standpoint.
  • Take a lead role in client project delivery to help client engagements through to a commercially successful conclusion.
  • Lead and support blended teams of colleagues, client, and partner resources to help share knowledge and develop an integrated delivery ethic.
  • Support the ongoing development of the Data Science practice technically.
Experience Profile:
We are looking for the following experience profile:
  • Significant experience in the design and build of data science solutions for customers.
  • 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:
  • Proven scientific research skills (published scientific papers and/or scientific conference presentations).
  • Advanced degree (Ph.D.) in machine learning, computer science, physics, applied mathematics, or statistics.
  • Hands-on experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet, Microsoft DMTK).
  • Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores.
  • Experience with distributed machine learning (RHadoop, Spark MLlib).
  • Strong algorithmic and programming skills in Java or C/C++ or C# or Scala.
  • A solid grounding in applied mathematics, especially optimization and graph theory, and statistics.
Benefits of being an Avanade Employee
  • Additional 5 days personal Leave + Opportunity to purchase extra annual leave
  • Wellbeing & Gadget Allowance
  • Flexible working arrangements
  • Generous parental leave
  • Corporate private health insurance discounts
  • Up to 80 hours of training per year
Please APPLY only if you are an Australian Citizen or a Permanent Resident with full working rights.

*** Mention DataYoshi when applying ***

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