Responsibilities
- Apply advanced statistical modeling and techniques to solve complex business challenges.
- Develop and implement advanced data solutions using machine learning (ML) and artificial intelligence (AI) to drive profitability and value for clients.
- Design and build machine learning pipelines and models, optimising their performance and efficiency
- Develop and maintain machine learning infrastructure.
- Track and document model lineage, model versioning and model transitioning.
- Independently design experiments, build algorithms, and apply machine learning tools to manage, interrogate, and extract value from large data sets for the benefit of media & digital marketing strategy
- Lead advanced data projects and develop data science approaches that can be adopted across the team.
- Demonstrate a willingness to learn and teach.
- Provide technical guidance and mentorship to junior data scientists, fostering their growth and ensuring the quality of their work.
- Collaborate effectively with cross-functional teams, including internal & external stakeholders, to understand clients' data needs and translate them into effective technical solutions.
- Proactively share information on the latest updates, new products, and evolving processes with the team.
- Demonstrate data knowledge and expertise through training materials and address clients' data challenges in senior-level discussions.
- Lead training sessions & workshops with clients on technical data topics within your expertise.
- Cultivate a strong relationship with clients and suppliers, which results in Incubeta being seen as a trusted partner and technical expert in the solutions offered.
- Deliver code and solutions that are well documented and understandable by other data scientists.
- Take responsibility for security in PII data, code management, and deployment.
Requirements
- 8+ years of experience in data science, with a focus on machine learning, artificial intelligence, and advanced analytics.
- Advanced expertise in data analysis, statistical modeling, and developing machine learning models for analysis and predictions
- Experience in designing and building machine learning pipelines and deploying ML models to production environments.
- An expert in programming languages SQL, Python, R
- Advanced experience with cloud platforms GCP (Essential), AWS, Azure (Advantageous) and cloud based ML services (e.g. Vertex AI).
- Demonstrable competency in propensity modelling, churn analysis, causal impact analysis, pLTV and MMM
- Familiarity with ML frameworks like TensorFlow, PyTorch, scikit-learn, and others
- Experience in pipeline orchestration tools such as Dataform, DBT and Apache Airflow
- Experience in developing and implementing advanced measurement solutions for digital marketing activation including MMM, Incrementality Testing, Causal impact Analysis & Attribution modelling
- Experience in customer and audience modelling solutions including propensity modelling, predictive lifetime value, churn analysis or similar
- Knowledge of industry trends and the ability to apply this knowledge to technical client solutions.
- Understanding of Analytics platforms & impact of data within - in particular Google Analytics 4
- Knowledge of Key Metrics and Dimensions for GMP Platforms (DV360, CM360, SA360), Google Ads and Facebook
- Knowledge of Digital Media Strategy
- Can confidently deal with breadth of enquiries around analytics & data
- Skilled in utilising Google Workspace for communication, presentations and reporting (e.g. Gmail, Google Slides, Google Docs, Google Sheets)
- ETL tooling experience (FiveTran, Supermetrics) (Advantageous)
- Excellent communication and presentation skills
- Demonstrable expertise in strong client relationship management, and experience of building and managing key partner relationships
- Strong technical storyteller - able to turn complex technical concepts into simple and easy to understand concepts for both internal teams and clients
- Excellent problem-solving abilities
- Ability to work in a fast paced, dynamic, pro-learning environment on multiple priorities simultaneously
- Relentless enthusiasm and highly reliable
- Accountable, driven, and proactive in development and making progress
- Display a hunger for knowledge and a willingness to learn for any situation
- Ability to think and act independently as well as collaboratively
- Can establish influential relationships with both internal and external stakeholders
- Exceptional attention to detail and pride in any work produced
- Strong ability to prioritise and manage own time as well as assisting teams where needed
- Display honesty and integrity at all times
- Accountable for actions even when making mistakes
- Organised and detail oriented
- Be approachable and open to constructive feedback
Nice to Have
- Google Cloud Platform certified (Advantageous)
Work Arrangement
Remote (City/Region) — Cape Town
Team
Structure: Marketing Intelligence team
Additional Information
- Proactively identify improvement opportunities for existing and new solutions across the business based on GP opportunity, customer feedback and industry needs.
- Improve on modeling techniques in our existing solutions and suggest new products through learning and development
