Senior Data Scientist – Commerce Cube

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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

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.

Apply
Lyn
[email protected]
+27 83 230 6462