Senior Data Scientist – Commerce Cube

Senior Data Scientist – Commerce Cube

Remuneration: R900000 – R1150000 per year Cost to company 
Location: Johannesburg
Job level: Senior
Type: Permanent
Reference: #0022 DSCC
Company: Core Change


Job description

Our client is looking for a data scientist – Commerce Cube.

Key responsibilities:
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending the company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Participate in the scrum process and daily stand-ups
  • Seasoned communicator as regards to technical and business/functional aspects of assigned work
  • Be comfortable working in an agile and fast-paced environment
  • Functional:
Functional expertise:
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • With common data science toolkits, such as R, Weka, NumPy, MatLab, etc 
Excellence in at least one of these is highly desirable: 
  • Experience with data visualisation tools, such as D3.js, GGplot, etc
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc
  • Good scripting and programming skills
  • Data-oriented personality
  • Creating data visualisation dashboards with BI reporting tools
  • Pulling together datasets/creating analytical datasets for statistical analysis
  • Data management and large-scale system development


Requirements

As a senior manager, you will be:
  • Playing a managerial role where you oversee the activities of the junior team members, ensuring proper execution of their duties, and alignment of activities with our overall vision and objectives
  • Ensuring that the team adopts best in class processes and techniques for statistical analysis and modeling as well as leading the rollout of big data capabilities, consumer initiatives, analytic framework, and best practices
  • You will be solutions-oriented, strongly analytical and a critical thinker, using statistical data to inform decisions
  • With the ability to develop and structure strategic data solutions with a strong analytical framework
  • And the ability to present ideas to internal and external audiences succinctly, using best in class processes, techniques, analysis, and modeling.


Posted on 09 Jul 08:12

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Lyn

+27 83 230 6462


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