Remote Senior Data Scientist - AI/ML

Placements24; East London; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Remote-friendly culture

Professional development budget

Zusammenfassung

Placements24 is seeking a Senior Data Scientist with a strong ML focus to design, develop, and deploy advanced models in a remote-first environment. You will transform complex data into actionable insights, build scalable data pipelines, and work with cross-functional teams to deliver AI-powered products.

Ideal candidates have 5+ years in data science, expertise in Python or R and deep learning frameworks, and a track record in deploying ML solutions with MLOps practices.

Qualifikationen

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science with a focus on machine learning.
• Proficiency in Python or R and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas and NumPy.
• Experience with ML techniques including supervised/unsupervised learning, deep learning, NLP, and RL.
• Strong statistical modeling, experimental design, and hypothesis testing skills.
• Experience with Spark/Hadoop and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving, independent work, and remote collaboration.
• Ability to translate business problems into data science solutions; ML deployment & MLOps preferred.

Aufgaben

• Design, develop, and implement advanced ML models and algorithms for various applications.
• Process, clean, and transform large, complex datasets for modeling.
• Perform exploratory data analysis to uncover patterns and insights.
• Build and maintain data pipelines for model training and deployment.
• Evaluate, optimize, and ensure robust model performance at scale.
• Collaborate with engineers and product managers to integrate ML models into production.
• Stay current with AI/ML/deep learning research and innovations.
• Communicate complex findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to team growth.
• Develop and implement MLOps best practices for model lifecycle management.

Kenntnisse

Python

R

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

MLOps

Mentoring

Ausbildung

Master's degree in CS/Statistics/Math

PhD in CS/Statistics/Math

Tools

Spark

Hadoop

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a globally recognized leader in advanced analytics and artificial intelligence solutions, is seeking an exceptional Senior Data Scientist specializing in Machine Learning to join their fully remote team. This role is crucial for driving innovation in predictive modeling and AI-driven product development. You will be instrumental in designing, developing, and deploying sophisticated machine learning models that solve complex business challenges across various industries. This is a remote-first position, offering unparalleled flexibility and the opportunity to collaborate with a diverse, geographically distributed team of top-tier talent. Our client is committed to fostering a culture of continuous learning, technological advancement, and data-driven decision-making. If you are a passionate data scientist with a proven track record in AI/ML and thrive in a remote work environment, this is the ideal opportunity to make a significant impact from anywhere.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms for various applications.
• Process, clean, and transform large, complex datasets to prepare them for modeling.
• Conduct exploratory data analysis to uncover patterns, trends, and insights.
• Build and maintain data pipelines for model training and deployment.
• Evaluate and optimize model performance, ensuring robustness and scalability.
• Collaborate with software engineers and product managers to integrate ML models into production systems.
• Stay current with the latest research and advancements in AI, machine learning, and deep learning.
• Communicate complex findings and technical details to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's technical growth.
• Develop and implement MLOps best practices for model lifecycle management.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science with a focus on machine learning.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Extensive experience with various machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, and reinforcement learning.
• Solid understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
• Demonstrated ability to translate business problems into data science solutions.
• Experience with model deployment and MLOps is highly preferred.

Benefits

• Our client offers a highly competitive salary and a comprehensive benefits package designed for remote professionals, including excellent health coverage, generous retirement contributions, and flexible paid time off.
• We provide a substantial budget for professional development, including online courses, certifications, and conference attendance.
• As a fully remote position, you have the freedom to work from any location, fostering an optimal work-life balance and global connectivity.
• Join a forward-thinking company that values innovation and empowers its employees to excel.