Data Scientist Ref: DS/ZR

Location: Bellville, Western Cape

*** Mention DataYoshi when applying ***

We are recruiting for a Data Scientist with experience in using a variety of data tools, analysis methods and machine learning algorithms to build and implement predictive models with demonstrable business impact.

Permanent, Cape Town based opportunity

Role Responsibilities

Data Preparation

  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Extend the company’s data with third party sources of information when required
  • Enhance data collection procedures to include information that is relevant for building analytic systems and self-learning models
  • Process cleanse and verify the integrity of data used for analysis
  • Identify valuable data sources and automate collection processes
  • Undertake pre-processing of structured and unstructured data

Analysis and Model Building

  • Mine and analyse data to drive optimisation and improvement of product development, marketing techniques and business strategies
  • Analyse large amounts of information to discover trends and patterns
  • Select features, building and optimising classifiers using machine learning techniques
  • Use predictive modelling to increase and optimise customer experiences, generation & targeting and other business outcomes
  • Develop custom data models and algorithms to apply to data sets
  • Combine models through ensemble modelling
  • Develop company A/B testing framework and test model quality

Stakeholder Engagement

  • Present information using data visualisation techniques
  • Propose solutions and strategies to business challenges
  • Solicit business requirements and outcomes based on interaction with business and present in an intuitive way.
  • Highlight potential value and articulate recommendations to best achieve value.

Implement and Monitor

  • Coordinate with different functional teams to implement models, allowing for different systems integration patterns, and monitor outcomes
  • Develop processes and tools to monitor and analyse model performance and data accuracy
  • Derive performance benchmarks and track accordingly

Team Effectiveness

  • Collaborate with engineering and product development teams
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Support senior data scientists in the team

Qualifications and Experience

  • Degree in Statistics, Mathematics, Computer Science or another quantitative field. Honours or Masters advantageous
  • 5 years of experience manipulating data sets and building statistical models
  • Experience querying databases and using statistical computer languages when managing data: e.g. R, Python, SQL, etc.
  • Knowledge and experience in statistical and data mining techniques, e.g. GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Knowledge of a variety of machine learning techniques such as clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages and drawbacks.
  • Experience with distributed data/computing tools: eg. Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
  • Experience visualising/presenting data for stakeholder use and reuse across the business
  • Business experience in financial services or financial asset management will be advantageous
  • Knowledge of various toolsets such as SAP Hana Studio, SAP Data Services, Informatica Data Quality Suite, Cloudera big data storage and Microsoft Power BI advantageous.

*** Mention DataYoshi when applying ***

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