Data Scientist

Intellinexus; Cape Town; Hybrid; ZAR 500 000 - 650 000; Full time

Job summary

A forward-thinking tech company is seeking a Data Scientist focused on acquiring high-quality clients through performance marketing. This role encompasses collaborating across teams, ensuring data quality, conducting statistical analysis, and optimizing campaigns. The ideal candidate will leverage tools like Python, Tableau, and PowerBI, alongside machine learning techniques, to generate insights and support growth. The position offers the flexibility of remote and hybrid work, set within a supportive environment focused on career development.

Benefits

Career development opportunities

Exposure to various technologies

Qualifications

• Experience in data science or related field.
• Strong background in statistical analyses and modeling.
• Ability to work collaboratively across teams.

Responsibilities

• Drive data creation by collaborating with stakeholders.
• Define measurement frameworks to track success metrics.
• Produce actionable insights for commercial problems.

Skills

Data wrangling

Predictive modeling

Data visualization

Statistical analysis

Machine learning

NLP

Computer vision

UX collaboration

Tools

Python

Tableau

PowerBI

Job description

What do we offer?

We offer both remote and hybrid work opportunities. Intellinexus is an SME, so you get a lot of exposure to different technologies, solutions, and techniques during projects. We support career development and growth by investing time and money to grow our consultants’ careers.

Overall purpose of the role

This is a data science role focused on acquiring high‑quality clients through performance and brand marketing in the most cost‑efficient way possible.

What you’ll achieve in the first 12 months:

• Work across the end‑to‑end client acquisition journey—from off‑platform to product conversion—to ensure data is created and consumed to fuel insights and modelling.
• Ensure data quality and interoperability is owned at source by working with engineers, architects, and marketers across the ecosystem.
• Collaborate with campaign managers to iterate marketing campaigns, refine segments, and establish the most cost‑effective way to bring prospective clients to our platform.
• Produce insights, run experiments, and develop predictive models to optimise channel‑specific campaign performance and cross‑channel spend.
• Work closely with UX designers and user researchers to create the best landing‑page and evaluation‑journey experience for prospective clients, optimising content and journeys that suit each segment.
• Identify points in the product application and onboarding journey that cause drop‑off and optimise for maintaining transparency, confidence, and accessibility.
• Create datasets, metric frameworks, and visualisations that provide information‑rich stories about our activities and performance across all digital marketing channels and content types.
• Leverage computer vision and/or NLP as a service to enrich data for content‑rich analysis.

Duties & Responsibilities

• Embed within teams, achieving a marriage of minds with stakeholders and an integration of objectives and workflows.
• Work across teams with UX researchers, feature engineers, domain experts, and business, product, and marketing managers to create data about user behaviours, discover unmet needs, set metrics, and design & execute experiments.
• Drive data creation by establishing principles and facilitating discussions on how to capture relevant user behaviours.
• Design event‑log schemas and test their implementation.
• Wrangle data into formats suitable for tools such as Python, Tableau, or PowerBI.
• Define holistic measurement frameworks and track metrics that measure success.
• Identify loosely defined commercial problems and produce meaningful insights that guide product and go‑to‑market iterations.
• Structure commercial problems into prediction problems and develop ML models for the highest‑priority cases.
• Establish learning goals, craft hypothesis statements, and design, execute, and draw conclusions from controlled experiments.
• Segment the client base using rule‑based and unsupervised learning approaches to build deeper customer understanding.
• Produce impactful visualisations and interactive dashboards to address recurring reporting needs.
• Partner with stakeholders to provide confidence needed to drive product roadmap changes or further insights.
• Create a culture of insights and learning, where everyone obsesses over success metrics and continuously tests and learns.

Interested?

Our aim is to help you build a successful career with us. We’re all about building strong, lasting relationships with our employees. We pride ourselves on helping our employees realize their worth and provide many opportunities for growth and development. If you’re ready to take your career to the next level, we’d love to hear from you.