Senior Data Scientist (Multiple Contracts @ $650-800pd)
HIGH PROFILE AUS BRAND - MASSIVE DATASETS and EXTENSIVE USE CASES to be solved, DS PRODUCT DEVELOPMENT - Prototype, Feature Engineer, Productionise & Implement, AWESOME USE CASES - Recommendation Engines, TimeSeries Forecasting, Optimisation.We’re on the hunt for a number of experienced and enthusiastic Senior Data Scientists with solid Data Science/Machine Learning product development and implementation experience within commercial environments. Our client is a high profile Australian brand based in Melbourne who are currently scaling out their specialist Data Science division. They boast some of the countries largest, most granular data sets and have an awesome array of data intensive use-cases to be solved, these incredible opportunities will offer any enthusiastic Data Scientist with a playground to build on their experience and implement production grade models that return genuine and measurable results.
As a Senior Data Scientist, the responsibilities of this role will involve but not be limited to:
Leverage cutting edge approaches in DS / AI / ML to optimise a broad array of retail business use cases that may include but not be limited to Customer Loyalty, Recommendation Engines, Logistics and Supply Chain Optimisation, Business Modelling / Forecasting using Time-Series data, etc.
Build, refine and optimise production grade DS/ML models using Gradient Boosting Models, XGBoost, Neural Networks, Random Forests, NLP, Mixed Integer Linear Programming (MILP), Attribution Modelling, Segmentation, Predictive Modelling, Scoring Engines etc.
Productionise and feature engineer solutions against client requests to ensure implemented solutions exceed the clients expectations.
The successful applicant will come from a strong academic with at least three years of commercial experience implementing production grade Data Science / Machine Learning models, you will be able to demonstrate.
At least three years experience industry experience leveraging techniques that may include building, testing and deploying production grade predictive models (e.g.Gradient Boosting Models, Neural Networks, Random Forests, Linear/Logistic Regression, Attribution Models, Segmentation, Predictive Models, Scoring Engines, etc.)
Experience delivering uses cases within Customer Loyalty (Specifically Recommendation Engines), Time-Series Forecasting (using modern ML techniques), Price Optimisation, etc.
Experience with machine learning algorithms and efficient data structures, assembling and model performance tuning
Strong technical skills developing and delivering model in R (preferred), or alternatively Python, C#, Matlab, SAS etc.
Experience developing dashboards in R-Shiny will prove highly advantageous.
A strong team player with a commitment to exceptional client service.
Proven ability to deliver in line with time and quality expectations