Lead Data Scientist

Location: Sydney CBD, New South Wales
Contract Type: Permanent
Specialisation: Technology & Digital
Salary: AU$160000 - AU$180000 per annum + + super
REF: BBBH240193_1581484681

My client is looking for a Lead Data Scientist. The Company is a global management consulting company focused on strategy, digital, operations, risk management, and organisation transformation.

As the Lead Data Scientist you will be exposed to some of the toughest challenges in a wide array of industries. As such, you will be responsible for ensuring data best practices, model choice and building, statistical result interpretation and produce numbered and visual evidence to support decision making at the highest level of leading organisations.

To be considered for this role you MUST BE willing to travel as required for projects (up to 60%)

The key attributes needed for this role:

  • Experience in financial services, banking and/or fintech AND/OR
  • Experience with a top tier Management Strategy Consulting firm, Tech firm or similar
  • Minimum 8+ years relevant, professional experience
  • Ability to reduce solutions for ill-defined complex issues to small set of operationalizable components
  • Deep understanding of general statistics
  • Ability to deal with unsupervised and supervised learning problems on tabular or time series data
  • Practical experience with machine learning frameworks
  • Superior ability to communicate complex results in the simplest manner
  • Experience in all stages in the project lifecycle
  • Excellent communication skills (verbal and written)
  • Excellent presentaion skills and experienced in presenting proposals to large audiences inclduing C-level.
  • Ability to handle multiple workstreams and prioritize accordingly
  • Ability to tailor your language to a technical or a non-technical audience
  • Comfortable working with both collocated and distributed team members across time zones
  • Comfortable working with and developing coding standards

Preferred skills and requirements:

  • Profound understanding of general statistics
  • Guru-level expertise in Python for data science
  • Data wrangling expert skills in Pandas, Numpy and PySpark
  • Outstanding practical knowledge of Keras, Tensorflow, PyTorch, Sklearn
  • Significant experience with programmatic chart making: Matplotlib, Seaborn
  • Experience in working with database systems and related query language: SQL, MongoDb
  • The ability and desire to switch between being a member of a team, to leading a team and to being the team
  • Hands on experience in running tests on cloud infrastructure (AWS, Azure etc)

Bonus skills:

  • R/Matlab/Go-lang
  • Visualization tools like Power BI, Qlik and Tableau
  • Dashboarding with Python Dash
  • Computer vision with OpenCv
  • Graph analysis with iGraph or NetworkX
  • PySpark, Hadoop
  • Docker