Manager: Data Science

SUMMARY:
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POSITION INFO:

Our client in the Midrand area is recruiting for a Manager: Data Science, to manage Stakeholder Engagement and Expectation.

Engages positively within data science team and with external stakeholders

Data wrangling and data preparation

Retrieve data from identified data sources (SQL, SAS, unstructured data sources)
Validate, clean and filter data against identified criteria

Analysis, reporting, data visualisation and communicating results

Ensures high quality presentations appropriate for diverse audiences to make informed decisions
Analyse data and verify results in terms of requested information by applying suitable standard and advanced univariate and multivariate statistical techniques

Statistical Model building and Machine Learning model building

Oversees advanced modelling and advanced analytics for projects
Develop and maintain an understanding of relevant business processes
Review current processes for business opportunities by means of appropriate statistical models
Build statistical models to drive business strategies

Model monitoring and refinement

Ensures good governance processes are established
Monitor models to determine predictive power is maintained on an ongoing basis
Analyse data in respect of models where outcomes are not in line with expectations to identify causes for variances

Change Management

Write appropriate specifications need to implement change process or recommendation after obtaining necessary approval from relevant committee
Oversee the changes to be done in consultation with Business Analysts
Test and validate functionality of the implementation process

Data ethics, governance and privacy
Understands legislation and comply with it, e.g. data privacy rules complied with
Ethics to be considered at all stages of work
Avoid unfair discrimination

Leading teams
May need to lead large team of data scientist
Mentoring and training
Assist team members with new tasks in respect of unfamiliar aspects of the job
Train team members in respect of technical aspects and business aspect of the job as well as for succession planning

Research
Establish and embed best practices to the benefit of all peers and stakeholders
Enhance existing models

Treating Customers Fairly and Compliance
Create and maintain productive relationships with internal and external clients by providing advice and assistance
Create understanding of the ‘real’ versus ‘perceived’ need through experience and expertise while complying with company policies, legislation and regulations

Management of Resources
Manage and develop subordinate(s): Performance management in terms of contracting, reviews and poor performers, Training and development, Employee relations
Manage people efficiencies through leave management, headcount budget, fixed term contracts, staff movements, secondments, staff utilization

Minimum Education

• Degree or relevant qualification with quantitative subjects or relevant professional certification
• Honours Degree in Data Science or AI or Computer Science or Econometrics or Engineering or Statistics or Actuarial Science or similar or relevant professional certification

Minimum Experience

• 3 years’ experience in data science or analytics or academic or financial role.
• 5 years’ experience in data science or analytics or academic or financial role.

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