Remote Senior Data Scientist - AI & Machine Learning

Placements24; Durban; Hybrid; ZAR 2,001,000 - 3,001,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Conference attendance

Home office setup support

Personal development days

Team events

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote position focused on AI and machine learning. You will work with a distributed team to build predictive models on large-scale data for a global client base.

The role requires a strong foundation in statistics, ML, and data engineering, with experience communicating across technical and non-technical stakeholders and mentoring junior data scientists.

Qualifications

• Advanced degree in a quantitative field with a strong data science foundation.
• 6+ years hands-on DS/ML experience with proven projects.
• Proficiency in Python or R and ML libraries; SQL in data systems.

Responsibilities

• Design and implement advanced ML models for business problems.
• Analyze large datasets using statistical methods and data mining.
• Prepare data pipelines and clean/preprocess data for modeling.
• Evaluate models for accuracy, scalability, and reliability.
• Collaborate with eng and product teams to deploy models.
• Translate complex findings for technical and non-technical stakeholders.
• Stay updated on AI/ML advances and best practices.
• Mentor junior data scientists and share knowledge.
• Contribute to knowledge base with insights and guidance.
• Maintain robust data workflows and documentation.

Skills

Data science

Machine learning

Python

SQL

R

Big data

Communication

Education

Master's or PhD in CS/Stats/Math

Tools

TensorFlow

PyTorch

Job description

About the Role Our client, a cutting-edge data analytics firm, is seeking a Senior Data Scientist with a strong focus on AI and Machine Learning to join their exclusively remote team. This is an exciting opportunity to work on challenging and impactful projects, leveraging vast datasets to uncover insights, build predictive models, and drive strategic decision-making for a global clientele. You will be at the forefront of innovation, applying advanced statistical techniques and machine learning algorithms to solve complex business problems. This role demands a blend of technical expertise, analytical rigor, and excellent communication skills, enabling you to translate complex data findings into actionable business strategies. The position is fully remote, offering unparalleled flexibility and the chance to collaborate with a distributed team of data professionals.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms to address business challenges.
• Analyze large, complex datasets using statistical methods and data mining techniques.
• Clean, preprocess, and transform raw data into formats suitable for modeling.
• Evaluate and optimize model performance, ensuring accuracy, scalability, and reliability.
• Collaborate with engineering and product teams to deploy models into production environments.
• Communicate complex findings and recommendations clearly and concisely to technical and non-technical stakeholders.
• Stay current with the latest advancements in AI, machine learning, and data science research.
• Develop and maintain robust data pipelines and workflows.
• Contribute to the team's knowledge base by sharing insights and best practices.
• Mentor junior data scientists and provide technical guidance.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of hands-on experience in data science and machine learning.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with various database systems.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
• Ability to communicate complex technical concepts effectively to diverse audiences.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• A strong portfolio of data science projects is highly desirable.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work arrangement with flexible hours.
• Access to state-of-the-art tools and technologies.
• Significant opportunities for professional growth and development, including conference attendance.
• Contribution towards home office setup and internet expenses.
• Collaborative and intellectually stimulating work environment.
• Generous annual leave and personal development days.
• Regular virtual team-building activities and social events.