Data Scientist

Intellinexus; Cape Town; On-site; ZAR 30 000 - 60 000; Full time

Job summary

Join an innovative SME that offers remote and hybrid work opportunities, focusing on data science and client acquisition through performance marketing. In this role, you will work collaboratively with teams to manage data quality, optimize marketing campaigns, and produce insights that drive impactful decisions. You'll engage in exciting projects that involve machine learning, experimentation, and data visualization, all while fostering a culture of continuous learning and development. This is a fantastic opportunity to grow your career in a supportive environment that values your professional advancement.

Qualifications

• Experience in data wrangling and cleaning for analysis.
• Strong understanding of machine learning algorithms and models.

Responsibilities

• Collaborate with teams to create data about user behaviors and insights.
• Develop and deploy machine learning models for prediction tasks.

Skills

Data Wrangling

Machine Learning

Data Visualization

Experimentation

Statistical Analysis

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

Python

R

SQL

Tableau

Job description

What do we offer?

We offer both remote and hybrid work opportunities. Intellinexus is an SME, providing exposure to various technologies, solutions, and techniques during projects. We support career development and growth, investing in our employees' professional advancement.

Overall purpose of the role

This is a data science role focused on acquiring quality clients through performance and brand marketing in a cost-efficient manner.

First 12 months objectives

1. Client Acquisition Data Management: Work across the entire client acquisition journey to ensure data quality and interoperability, enabling insights and modeling.
2. Market Targeting: Collaborate with campaign managers to optimize marketing campaigns, refine segments, and improve cost-effectiveness.
3. Insights and Experimentation: Produce insights, run experiments, and develop predictive models to enhance campaign performance.
4. Prospective Client Engagement: Work with UX designers and user researchers to optimize the onboarding journey, ensuring clarity and confidence for clients.
5. Performance Monitoring: Create datasets, metrics, and visualizations to provide insights into marketing activities and their outcomes.

Responsibilities

Data Scientists at Intellinexus embed within teams, collaborating with stakeholders to create data about user behaviors, discover unmet needs, set metrics, and design experiments. They handle data wrangling, metric setting, experimentation, machine learning, and storytelling to support product development and marketing strategies.

Examples of tasks include:

• Designing event log schemas and testing implementations.
• Wrangling data into usable formats.
• Defining holistic team metrics.
• Producing insights to guide product and campaign iterations.
• Developing and deploying ML models for prediction tasks.
• Designing and analyzing controlled experiments.
• Segmenting clients using rule-based and unsupervised learning methods.
• Creating impactful visualizations for team insights.
• Partnering with stakeholders to drive impact.
• Fostering a culture of insights and continuous learning.

Interested?

We aim to help you build a successful career with us. We value strong, lasting relationships and support your hopes for your future—career, personal development, and achievements. Through Intellinexus and our clients, numerous opportunities for growth and development are available.