Manager: Data Science
P3M Projects
Johannesburg
2d ago
source : Job Placements

SUMMARY : POSITION INFO :

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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