Senior Data Scientist - Machine Learning & Analytics

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Fully remote role

Flexible work schedule

Professional development opportunities

Job summary

WhatJobs Direct is seeking a Senior Data Scientist to lead machine learning and advanced analytics efforts. You will work with a remote-first team to extract actionable insights, build predictive models, and drive data-driven decision making across the organization.

Collaborate with data engineers, analysts, and business stakeholders to deliver data-centric solutions, mentor junior data scientists, and contribute to strategic initiatives from a home office.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or related field.

Responsibilities

• Develop and implement advanced machine learning models for prediction, classification, clustering, and recommendation systems.
• Perform complex data analysis including EDA, feature engineering, and statistical modeling.
• Design and conduct A/B tests and experiments to validate hypotheses and measure impact.
• Communicate findings and insights to technical and non-technical audiences with visuals and reports.
• Collaborate with data engineers to build and maintain robust data pipelines.

Education

Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

pandas

NumPy

SQL

AWS

Azure

GCP

Matplotlib

Seaborn

Tableau

Job description

About the Role

WhatJobs Direct is looking for a highly skilled Senior Data Scientist with a strong background in machine learning and advanced analytics to join our dynamic, remote-first team. This role involves leveraging complex datasets to extract actionable insights, build predictive models, and drive data-informed decision-making across the organization. You will work on challenging projects that require a deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques. As a remote employee, you will collaborate closely with data engineers, analysts, and business stakeholders, contributing to strategic initiatives from your home office. This position is perfect for a data science leader who thrives in a collaborative, innovation-driven environment and seeks to make a significant impact, supporting the growth of data-centric solutions similar to those emerging in Port Elizabeth, Eastern Cape, ZA .

Key Responsibilities

• Develop and implement advanced machine learning models for prediction, classification, clustering, and recommendation systems.
• Perform complex data analysis, including exploratory data analysis (EDA), feature engineering, and statistical modeling.
• Design and conduct A/B tests and other experiments to validate hypotheses and measure impact.
• Communicate findings and insights effectively to technical and non-technical audiences through compelling visualizations and reports.
• Collaborate with data engineers to build and maintain robust data pipelines and infrastructure.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's technical growth.
• Identify opportunities to leverage data science for business improvement and innovation.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science or a related analytical role, with a strong focus on machine learning.
• Proficiency in Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Solid understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with SQL and working with large datasets in cloud environments (e.g., AWS, Azure, GCP).
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, essential for a remote team.

Benefits

• Our client offers a competitive salary and comprehensive benefits package, including health, dental, and vision insurance, along with a retirement savings plan.
• As a fully remote employee, you will enjoy a flexible work schedule and the autonomy to manage your workload effectively.
• We provide excellent opportunities for professional development, including access to online learning platforms, workshops, and virtual conferences.
• Our client fosters a culture of continuous learning and innovation, empowering employees to grow and make a significant impact from anywhere, contributing to the technological advancement reminiscent of innovative hubs like Port Elizabeth, Eastern Cape, ZA .