A rapidly growing Innovative Data Analytics & Insights team is seeking a Data Scientist to join their project engineering team in Sydney. This Organisation looks at the world through a unique data based lens, with a goal to improve and enhance the world around by processing and analyzing mass amounts of data. You will focus on using data and analytical skill set to deliver value to end users.

Data Scientist- A rapidly growing Innvovative Analytics & Insights team

Location: Melbourne
Salary: $120k- $150K
Job Posted: Aug 2019

A rapidly growing Data Analytics team is seeking a Data Scientist to join their engineering team in Sydney. This Organisation looks at the world through a unique data based lens, with a goal to improve and enhance the world around by processing and analyzing mass amounts of data.

You will focus on using data and analytical skill set to deliver value to end users. Specifically, you will apply these skills by being involved in the early stages and the development of high-impact analyses and proofs-of-concept. You will also develop and validate machine learning models that form a critical part of a large-scale application.

Details on the role:

Coordinate the delivery of algorithms, statistical models, and data science products and research to support efforts such as predictive adherence modelling and other analyses focused on improving patient care.
Lead on projects, and oversee the work of junior data team members as needed.
Serve as a hands-on technical contributor, developing algorithms, and performing analysis to solve complex problems utilising advanced statistical techniques, mathematical analysis, and/or machine learning techniques.
Mentor teammates on best practices, methodology, and problem-solving.
Apply a broad array of analytics skills including machine learning, statistics, text-mining/NLP, and modeling to extract insights to structured and unstructured speciality pharmacy data sources and complementary real-world & digital information streams.

Qualifications:

Masters or Ph.D. in Statistics, Applied Math, Operations Research, Computer Science, Engineering, Computational Finance, Economics or other relevant quantitative disciplines.
Minimum 3 years in data science role
Proficiency with tools such as R, SAS, Python, C++, etc.
Experience working with product development teams and/or with developers
Energy and attention to detail; this is a fast-moving environment and getting the small things right is critical for success
Going the extra mile; high-achievers who go beyond the minimum

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