Senior Data Scientist - Machine Learning

Placements24; Upington; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Remote work

Home office stipend

Conference/advanced training support

Job summary

Placements24 in a fully remote setup seeks a Senior Data Scientist to design, develop, and deploy ML models for global clients. You will work with large datasets, validate models, and contribute to scalable data-driven products from anywhere.

The ideal candidate has 5-7 years of data science experience, a strong quantitative background, and expertise in Python or R with modern ML libraries. Strong communication skills are essential.

Qualifications

• Master's or PhD in a quantitative field.
• 5-7 years of professional data science experience.
• Proven ML model development and deployment experience.
• Proficiency in Python or R with ML libraries.

Responsibilities

• Design, develop, and deploy ML models for business challenges.
• Transform and explore large datasets from multiple sources.
• Conduct statistical analysis and hypothesis testing to validate models.
• Build data pipelines for training and deployment.
• Collaborate with stakeholders to integrate ML into production.

Skills

ML Expertise

Python

R

Statistical Modeling

Data Mining

Communication

Problem Solving

Education

Master's or PhD in CS/Stats/Math/Physics

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

About the Role

Our client, a cutting-edge technology firm specializing in data analytics and AI, is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join their fully remote team. This role is pivotal in developing and deploying advanced machine learning models that drive innovative solutions for our global client base. You will leverage vast datasets to uncover insights, build predictive models, and contribute to the strategic direction of data-driven products. The ideal candidate possesses a strong quantitative background, deep understanding of various ML algorithms, and proficiency in programming languages like Python or R. This is a fully remote opportunity for a motivated scientist to make a significant impact on complex, real-world problems from anywhere.

Key Responsibilities

• Design, develop, and implement machine learning models to address complex business challenges.
• Explore, clean, and transform large, complex datasets from various sources.
• Conduct statistical analysis and hypothesis testing to validate model performance and identify key drivers.
• Build and maintain data pipelines for model training and deployment.
• Evaluate and compare different machine learning algorithms and techniques to select the most appropriate ones for specific tasks.
• Collaborate with engineering, product management, and other stakeholders to integrate ML models into production systems.
• Develop and maintain documentation for models, methodologies, and results.
• Stay current with the latest research and advancements in machine learning and artificial intelligence.
• Present findings and insights to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the growth of the data science team.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5-7 years of professional 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 Python or R, including libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with SQL and working with large-scale datasets.
• Familiarity with cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and collaboratively in a remote, agile environment.

Benefits

• Our client offers a highly competitive salary, excellent benefits package including comprehensive health insurance and a generous retirement plan, and opportunities for performance-based bonuses.
• We provide a fully remote work setup with a home office stipend and support for continuous professional development, including conferences and advanced training.
• Join a forward-thinking company at the forefront of AI and machine learning, working on challenging projects with a global impact.
• This is an unparalleled opportunity for a talented data scientist to advance their career and enjoy significant work-life flexibility from Upington or anywhere else.