Data Scientist (Python/R) - Customer Analytics
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Summary about this job
Analysts
Company: Correlate Resources
Location: Sydney
Work type: Contract/Temp
Salary: $650-800pd / $120-160k pa
Phone: +61-7-2995-8901
Fax: +61-3-4554-7597
E-mail: n\a
Site: n\a
Detail information about job Data Scientist (Python/R) - Customer Analytics. Terms and conditions vacancy
- INDUSTRY PIONEERS: Disrupting the market with cutting edge Customer Data Science
- CUSTOMER DATA SCIENCE: Data Engineering, DS & ML Models, Insights, Visualisation
- DATA & TECHNOLOGY: R, Python, SQL, SAS, Spark, Scala, Hadoop, Tableau/Qlikview
As an experienced Customer Data Scientist the responsibilities of these roles will involve but not be limited to:
- Work within a team of industry leading Data Scientists to map out the Gaming clients complex customer strategies to be optimised through Data Science and Machine Learning techniques.
- Support the financial servicesclients business stakeholders and consult around analytical project requirements and suitable discuss methodologies.
- Leverage strong programming skills in Python (or R) to manage, manipulate and model large volumes of customer data to extract and deliver strategic insights and recommendations.
- Deliver a range of bespoke Data Science, Machine Learning, Statistical Modelling led projects leveraging techniques that may include; Linear/Logistic Regression, Confidence Interval, Test of Hypotheses, Clustering - Unsupervised & Supervised Learning, Time Series, Decision Trees , Monte-Carlo Simulation, Bayesian Statistics, Principal Component Analysis, Neural Networks, Gradient Boosting, Nearest Neighbors, (Geo-) Spatial Modeling, Recommendation Engines, Attribution Modeling, Segmentation, Predictive Modeling, Scoring Engine, Survival Analysis, Lift Modeling, Yield Optimization, Cross-Validation, Model Fitting, Experimental Design, etc.
- Strong skills and experience using Python (or R) to extract, manipulate and merge large customer behaviour or transactional data sets from a variety of source systems.
- At least 3yrs commercial experience extracting 'Customer Insights' from large and complex datasets relating to; customer strategy (acquisition, retention & growth), statistical modelling, marketing campaigns or credit risk analysis, etc.
- Educated to a minimum of degree level in an analytical discipline such as - Mathematics, Statistics, Econometrics, Actuarial Studies, Data Science, Computer Science etc.
- A genuine passion to build a career in Data Analytics / Data Science, implementing analytical techniques and concepts such as; Linear/Logistic Regression, Confidence Interval, Test of Hypotheses, Clustering - Unsupervised & Supervised Learning, Time Series, Decision Trees, Monte-Carlo Simulation, Bayesian Statistics, Principal Component Analysis, Neural Networks, Gradient Boosting, Nearest Neighbors, (Geo-) Spatial Modeling, Recommendation Engines, Attribution Modeling, Segmentation, Predictive Modeling, Scoring Engine, Survival Analysis, Lift Modeling, Yield Optimization, Cross-Validation, Model Fitting, Experimental Design, etc
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