Senior Data Scientist

As a Senior Data Scientist within our Marketing Intelligence team, you will play a key role in the development and implementation of advanced data services and solutions, leveraging machine learning (ML) and artificial intelligence (AI) to drive profitability and value for our clients. You will possess a deep understanding of data science principles, advanced analytics techniques, and machine learning engineering and be proficient in utilising a range of programming languages, tools and machine learning frameworks

You will be required to collaborate effectively with cross-functional teams - including internal & external stakeholders - to understand clients' data needs and translate them into effective technical solutions. They will lead on advanced data projects, and develop data science approaches that can be adopted across the team.

Your achievements will lead to recognition as a thought leader, actively contributing to the company's reputation and brand through your expertise and insights.

Key Responsibilities

Your tasks and responsibilities will include but are not limited to :

• 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.
• 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

KPI & Performance Management

Place within Organisation

The Senior Data Scientist reports directly to the EMEA Director of Data Science. This role is based in our Cape Town office and operates within the EMEA Marketing Intelligence team. You will be an integral part of a dynamic and collaborative team, working alongside marketing intelligence professionals across EMEA, including :

You will also collaborate closely with :

Qualifications and Skills

In order to successfully perform this role, you will need the following hard and soft skills :

Hard Skills

Soft Skills

Incubeta Company Values :

Equal Opportunity Employer :

Incubeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Application Process :

If you feel you meet the criteria please kindly submit your resume, cover letter, and portfolio of relevant work. Applications will be reviewed on a rolling basis until the position is filled.Please take note that if you do not receive a response within 2 weeks of applying, you should consider your application as unsuccessful.

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