Senior Data Scientist (Marketing Intelligence)

Location: Cape Town, South Africa; office-based

Company

hirify.global delivers marketing intelligence, data, analytics, and digital marketing solutions for clients across EMEA and globally.

What you will do

• Develop advanced data services and solutions using machine learning, artificial intelligence, and statistical modeling.
• Design, build, optimize, and deploy machine learning pipelines, models, and supporting infrastructure.
• Conduct experiments and develop algorithms for large-scale data analysis, prediction, media measurement, and digital marketing strategy.
• Lead advanced data projects and create reusable data science approaches for the wider team.
• Collaborate with internal teams, clients, suppliers, and stakeholders to translate data needs into technical solutions.
• Provide technical guidance and mentorship, deliver client training and workshops, and ensure code, model lineage, versioning, security, and deployment practices are well documented.

Requirements

• 8+ years of experience in data science focused on machine learning, artificial intelligence, and advanced analytics.
• Advanced expertise in data analysis, statistical modeling, predictive modeling, and production ML deployment.
• Expert proficiency in SQL, Python, and R.
• GCP experience is essential, including cloud-based ML services such as Vertex AI; AWS and Azure experience is advantageous.
• Experience with TensorFlow, PyTorch, scikit-learn, Dataform, dbt, and Apache Airflow.
• Strong communication, presentation, problem-solving, client relationship management, prioritization, and technical storytelling skills.

Nice to have

• Google Cloud Platform certification.
• ETL experience with Fivetran or Supermetrics.
• Experience with propensity modeling, churn analysis, causal impact analysis, predictive lifetime value, marketing mix modeling, incrementality testing, and attribution modeling.
• Knowledge of Google Analytics 4, GMP platforms, Google Ads, Facebook, and digital media strategy.

Culture & Benefits

• Collaborative work with marketing intelligence professionals, analysts, engineers, consultants, and project managers across EMEA.
• Opportunities to mentor junior data scientists and contribute to training materials and knowledge sharing.
• A fast-paced, dynamic, and pro-learning environment with multiple priorities.
• Values include earning trust, helping others succeed, daring to lead, and exceeding expectations.
• Inclusive workplace committed to diversity and equal opportunity.

Hiring process

• Submit a resume, cover letter, and portfolio of relevant work.
• Applications are reviewed on a rolling basis until the position is filled.
• No response within two weeks should be considered unsuccessful.