Data Scientist

Job Description

We are seeking a highly skilled Data Scientist to join our dynamic team in Johannesburg. You will work closely with analysts and stakeholders to interpret data, create predictive models, and provide insights that improve business outcomes. This role requires a strong background in statistics and machine learning, along with the ability to communicate findings effectively.

Responsibilities

• Design and implement machine learning models for forecasting.
• Conduct exploratory data analyses and interpret results effectively.
• Lead projects from ideation to implementation with a focus on measurable outcomes.
• Foster strong relationships with stakeholders to deliver collaborative success.
• Contribute to the development and refinement of best practices in data analysis.
• Participate in code reviews to ensure quality and consistency.
• Manage time effectively to adhere to project deadlines.
• Provide technical support and guidance to team members.

Requirements

Education

• PhD in Data Science, Statistics, or a related field

Experience

• 5+ years of experience in advanced analytics and data modeling

Technical Skills

• R
• Big Data Technologies

Soft Skills

• Leadership
• Interpersonal Skills

Certifications

• Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Knowledge of data governance policies: Experience in establishing data policies in compliance with regulations.
• Familiarity with Python libraries for data analysis: Extensive use of libraries like Pandas, NumPy, etc.

Benefits

• Full health and wellness benefits.
• Work-from-home options available.
• Professional development opportunities.
• Corporate discounts and perks.

Company Culture

• Innovation at Heart: We prioritize innovation and are always looking for new ways to solve real-world problems
• Team Collaboration: We emphasize collaboration among teams, promoting a culture of shared success and mutual respect.
• Community Engagement: Actively participate in community initiatives, supporting social causes beyond the workplace.