Senior Data Scientist - AI/ML

Placements24; Pretoria; Remote; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Remote work stipend

Flexible working hours

Learning & conference attendance

Access to cutting-edge tech

Job summary

Placements24 is seeking a Senior Data Scientist for a remote-first role focused on machine learning and AI. You will design and deploy predictive models, work with large diverse datasets, and translate complex findings for business decisions.

You'll mentor junior scientists, collaborate with engineering and product teams, uphold data pipelines and model monitoring, and stay at the forefront of ML research. The role offers a competitive package and a flexible, globally distributed team.

Qualifications

• Master's or PhD in CS/Statistics/Mathematics or related field.
• 5+ years hands-on data science with ML/AI focus.
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with big data (Spark/Hadoop) and cloud platforms (AWS/Azure/GCP).
• Strong visualization and communication skills; remote collaboration ability.
• MLOps experience desirable.

Responsibilities

• Design, develop, and deploy ML models and AI algorithms.
• Process and analyze large, multi-structured datasets.
• Identify trends and insights to inform strategy and product.
• Collaborate with engineering and product teams to productionize AI/ML.
• Build data pipelines and model monitoring systems.
• Conduct experiments and A/B tests to validate impact.
• Stay at the forefront of AI/ML research and mentor juniors.
• Communicate findings clearly to stakeholders.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

NLP

Deep learning

MLOps

AWS

GCP

Azure

SQL

Education

Master's or Ph.D. in CS/Stats/Math

Tools

Spark

Hadoop

AWS

Azure

GCP

Docker

Airflow

MLflow

Job description

About the Role

Our client, a globally recognized leader in data analytics and artificial intelligence, is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning and Artificial Intelligence to join their innovative, fully remote team. This pivotal role will involve leveraging vast datasets to develop cutting-edge predictive models and intelligent solutions that drive business strategy and enhance customer experiences. As a remote-first organization, we foster a culture of trust, autonomy, and collaboration, connecting talented professionals worldwide. You will work on challenging, impactful projects, utilizing the latest AI/ML technologies and contributing to the advancement of data-driven decision-making. The ideal candidate is a proactive problem-solver, passionate about uncovering insights from complex data, and adept at communicating technical findings to both technical and non-technical stakeholders. Your contributions will directly shape the future of our client's technological landscape.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and AI algorithms to address complex business problems.
• Clean, process, and analyze large, multi-structured datasets from various sources.
• Identify trends, patterns, and insights within data to inform strategic decisions and product development.
• Collaborate with engineering and product teams to integrate AI/ML solutions into production systems.
• Develop and maintain data pipelines and model monitoring systems.
• Conduct rigorous experimentation and A/B testing to validate model performance and impact.
• Stay at the forefront of AI/ML research and advancements, proposing and implementing new methodologies.
• Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
• Effectively communicate complex findings and recommendations to stakeholders at all levels.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science, with a strong focus on machine learning and AI.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Deep understanding of various ML algorithms (e.g., deep learning, NLP, regression, classification).
• Strong data visualization and communication skills.
• Proven ability to work effectively in a remote, collaborative environment.
• Experience with MLOps practices is highly desirable.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous remote work stipend for home office setup.
• Flexible working hours and unlimited paid time off.
• Opportunities for continuous learning, training, and conference attendance.
• Access to cutting-edge technology and tools.
• 401(k) plan with company match (or equivalent pension plan).
• A dynamic and innovative company culture.