Data Scientist - AI Research

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

R&D budget

Flexible hours

AI research projects

Job summary

Placements24 is seeking a highly analytical Data Scientist to join its AI Research team in Richards Bay. You will analyze complex datasets, build predictive models, and drive innovations in AI.

This role offers opportunities to publish findings and work on cutting-edge projects. Requires a PhD or Master’s in a quantitative field, 5+ years of DS experience, strong Python/R skills, and familiarity with Spark and big-data tech.

Qualifications

• PhD or Master's in Data Science or related quantitative field.
• 5+ years in data science with a strong focus on machine learning and statistical modeling.
• Proficiency in Python or R and data science libraries.
• Experience with large-scale data processing frameworks (e.g., Spark) and database technologies.
• Proven ability to conduct independent research and publish findings.

Responsibilities

• Conduct in-depth data analysis and exploratory data mining to identify patterns and trends relevant to AI research.
• Develop, test, and validate advanced statistical and machine learning models for predictive and analytical purposes.
• Design and execute experiments to evaluate new AI algorithms and techniques.
• Collaborate with researchers and engineers to prototype and implement AI solutions.
• Communicate complex findings through reports and presentations.
• Stay current with advancements in AI, ML, and related fields.

Skills

Python

R

Machine Learning

Statistical Modeling

Spark

Publications

Education

PhD in Data Science

Master's in Data Science

Tools

Spark

NumPy

Pandas

SQL

scikit-learn

Job description

About the Role

Our client is seeking a highly analytical and creative Data Scientist to join their AI Research team, contributing to groundbreaking projects in Richards Bay . In this role, you will delve deep into complex datasets to uncover insights, develop predictive models, and drive innovation in artificial intelligence. You will have the opportunity to experiment with novel algorithms, conduct rigorous research, and translate findings into actionable solutions that have a significant impact. This position is perfect for a curious and driven individual who thrives in a research-oriented environment and is passionate about pushing the boundaries of AI and machine learning to solve real-world problems and contribute to scientific advancement.

Key Responsibilities

• Conduct in-depth data analysis and exploratory data mining to identify patterns and trends relevant to AI research.
• Develop, test, and validate advanced statistical and machine learning models for predictive and analytical purposes.
• Design and execute experiments to evaluate the effectiveness of new AI algorithms and techniques.
• Collaborate with researchers and engineers to prototype and implement AI solutions.
• Communicate complex findings and methodologies clearly and effectively through reports and presentations.
• Stay current with the latest advancements in AI, machine learning, and related scientific fields.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• 5+ years of experience in data science, with a strong focus on machine learning and statistical modeling.
• Expertise in programming languages such as Python or R, and proficiency with data science libraries.
• Experience with large-scale data processing frameworks (e.g., Spark) and database technologies.
• Proven ability to conduct independent research and publish findings in relevant venues.
• Strong problem-solving skills and a knack for creative solutions.

Benefits

• Highly competitive salary and potential for research-based bonuses.
• Comprehensive health benefits package.
• Significant budget for professional development, conferences, and research resources.
• Opportunity to work on cutting-edge AI research projects.
• Collaborative and intellectually stimulating work environment.
• Flexible working hours and a strong emphasis on work-life balance.