Remote Senior Data Scientist for AI Research

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

Benefits offered by this job

Health insurance

Remote work

Professional development

Retirement plan

Paid time off

Home office stipend

Job summary

Placements24 is recruiting a Senior Data Scientist for a fully remote position. You will design, train, and deploy cutting-edge ML models, and analyze large-scale datasets to derive actionable insights. You will collaborate across global teams and mentor junior data scientists.

The role emphasizes independence in a remote-first culture, strong communication, and ongoing professional development in AI research and deployment practices.

Qualifications

• MS or PhD in a quantitative field.
• 5+ years hands-on data science and ML experience.
• Proficient in Python or R and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong statistical modeling and data mining knowledge.
• Experience with big data tech (Spark/Hadoop) is a plus.
• Cloud platform experience (AWS/Azure/GCP).
• Excellent communication and ability to work remotely.

Responsibilities

• Design, develop, and deploy advanced ML models.
• Perform exploratory data analysis on large datasets.
• Build and maintain data pipelines for model training and evaluation.
• Collaborate with engineering to deploy models in production.
• Stay updated on AI advancements and publish findings.
• Mentor junior data scientists and contribute to knowledge base.
• Contribute to research discussions and novel methodologies.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Statistical modeling

Big data

AWS

Azure

GCP

Education

MS or PhD in CS/Statistics/Math

Tools

Spark

Hadoop

Job description

About the Role

Our client is at the forefront of Artificial Intelligence research and is seeking an exceptional Senior Data Scientist to join their distributed team. This is a fully remote position, allowing you to contribute from anywhere. You will be instrumental in developing and implementing cutting-edge machine learning models and algorithms to solve complex problems across various domains. This role requires a strong theoretical foundation in statistics, machine learning, and deep learning, coupled with practical experience in large-scale data analysis and model deployment. You will collaborate with a global team of researchers and engineers, driving innovation and pushing the boundaries of AI. The ideal candidate thrives in a remote-first environment, possesses excellent communication skills, and is passionate about leveraging data to create impactful solutions. We foster a culture of continuous learning, collaboration, and autonomous work, making this an ideal opportunity for a driven professional seeking to make a significant contribution to the field of AI.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models and algorithms.
• Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets.
• Build and maintain data pipelines for model training and evaluation.
• Collaborate with engineering teams to integrate ML models into production systems.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Participate in research discussions and contribute to the development of novel AI methodologies.

Requirements

• M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning, with a proven track record of delivering impactful projects.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Outstanding communication and collaboration skills, essential for a distributed team environment.
• Experience with cloud platforms (AWS, Azure, GCP) for data science workloads.
• Demonstrated ability to translate business problems into data science solutions.

Benefits

• This fully remote position offers a highly competitive salary and performance-based bonuses.
• Our client provides a comprehensive health insurance package, including medical, dental, and vision coverage.
• A generous retirement savings plan with employer matching is available.
• We support continuous professional development through online courses, virtual conferences, and access to leading research publications.
• Our client fosters a flexible work environment, promoting work-life balance and autonomy.
• Benefits include paid time off, sick leave, and remote work stipends to enhance your home office setup.

Join a global leader in AI research and contribute to groundbreaking innovations from the comfort of your home.