Data Scientist: Marketing Analytics & ML Specialist

Boardroom Appointments; Johannesburg; On-site; ZAR 520,000 - 780,000; Full time

Job summary

Boardroom Appointments is seeking an intermediate Data Scientist to perform analyses, provide insights, and build predictive models that support sales, distribution and marketing analytics.

The role involves expanding automated KPI reports for Marketing Data ScienceHub clients, guiding stakeholders on data extraction, and optimizing data-driven decision making across campaigns and call centre performance.

Qualifications

• Honours degree (or higher) in statistics, actuarial sciences, computer science (or equivalent, relevant qualification).
• Knowledge of statistical packages (R, SAS, SPSS, Python etc.).
• Knowledge of BI reporting tools (Power BI, Tableau, QlikView).
• Experience in statistical and machine learning modelling techniques.
• High level of computer literacy (advanced MS-Excel and SQL).
• 2+ years of work experience as a Data Analyst, Quantitative Analyst or Data Scientist.

Responsibilities

• Perform analyses, provide insights, and build predictive models that will assist with sales, distribution, and general marketing analytics.
• Expand the suite of automated analytical/KPI reports used by clients of the Marketing Data ScienceHub team (relating to lead volumes, call centre metrics, campaign performance etc.).
• Be an enabler of performance marketing, i.e. perform analyses, provide insights, and build predictive models that will assist with: Client segmentation and ideal client identification.
• Development and implementation of targeted marketing strategies.
• Optimisation of call centre operations.
• Source and provide customised data to the business.
• Guide business stakeholders in what data to extract.
• Improve processes and databases where opportunities arise.
• Interpret and disseminate information via reports and publications.

Job description

Boardroom Appointments is seeking an intermediate Data Scientist to perform analyses, provide insights, and build predictive models that support sales, distribution and marketing analytics.

The role involves expanding automated KPI reports for Marketing Data ScienceHub clients, guiding stakeholders on data extraction, and optimizing data-driven decision making across campaigns and call centre performance.