Senior Data Scientist

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health insurance

Paid time off

Professional development

Access to cutting-edge tech

Job summary

Placements24 is seeking aSenior Data Scientist to join our remote R&D team. You will design and deploy advanced ML models, lead data-driven initiatives, and collaborate with cross-functional teams to turn complex data into actionable insights.

A strong emphasis on production-ready pipelines and scalable solutions. The ideal candidate has a PhD/masters in a quantitative field and 5+ years of experience with Python or R, TensorFlow, PyTorch, Spark, and cloud platforms.

Qualifications

• Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• 5+ years of professional experience in data science with ML deployment track record.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn.

Responsibilities

• Design, develop, and implement complex ML models and algorithms for scientific problems.
• Conduct exploratory data analysis on large, diverse datasets to identify patterns and insights.
• Collaborate with researchers, engineers, and product managers to deliver data-driven solutions.
• Develop and deploy scalable data science pipelines and productionize models.
• Mentor junior data scientists and contribute to knowledge sharing.
• Present findings to stakeholders via visualizations and reports.

Skills

Python

R

ML concepts

Statistical modeling

Experimental design

Communication

Problem solving

Team collaboration

Education

Master's or PhD in CS/Statistics/Math/Physics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly experienced Senior Data Scientist to join their innovative research and development team. This is a fully remote position, offering flexibility and the opportunity to contribute to groundbreaking projects from anywhere. You will be instrumental in developing advanced analytical models, driving data-driven decision-making, and pioneering new methodologies within a dynamic, collaborative environment. The ideal candidate will possess a strong theoretical foundation combined with practical application skills in machine learning and statistical analysis, contributing to the company's continued success in pushing the boundaries of scientific discovery and technological advancement.

Key Responsibilities

• Design, develop, and implement complex machine learning models and algorithms to solve challenging scientific problems.
• Conduct exploratory data analysis on large, diverse datasets to identify patterns, trends, and actionable insights.
• Collaborate with cross-functional teams, including researchers, engineers, and product managers, to define project requirements and deliver data-driven solutions.
• Develop and deploy scalable data science pipelines and productionize models for real-world applications.
• Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
• Present findings and recommendations to stakeholders through clear and compelling visualizations and reports.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• 5+ years of professional experience in data science, with a proven track record of developing and deploying ML models.
• Proficiency in programming languages like Python or R, including relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication and problem-solving skills, with the ability to articulate complex technical concepts to non-technical audiences.

Benefits

• Competitive annual salary with performance-based bonuses.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and holidays.
• Professional development opportunities, including conference attendance and training.
• Access to cutting-edge technology and resources for research.