Senior Data Scientist
Melbourne
Correlate Resources
Type: Contract
Level: Junior Level
Salary:
4 years ago
Deadline: 2020-09-18
Job Description
- 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, Supply Chain, Price Optimisation, Time-Series Forecasting, etc.
- Build, refine and optimise production grade DS/ML models using Gradient Boosting Models, Neural Networks, Random Forests, Linear/Logistic Regression, Attribution Modelling, Segmentation, Predictive Modelling, Scoring Engines etc.
- Feature engineer against client requests to ensure implemented solutions exceed the clients expectations.
Job Requirement
- 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
Company Introduction
本地公司
Correlate Resources is a specialist recruitment partner dedicated to supporting the Australian Data Analytics community. Bringing over ten years of market expertise, we hold an exceptional insight into the Data Analytics employment sector, boast extensive networks of Analytics practitioners and align with the industries most highly regarded data driven organisations.
