Remote Senior Data Scientist - AI/ML

Placements24; Randburg; Hybrid; ZAR 1,995,000 - 3,657,000; Full time

Benefits offered by this job

Stock options or equity grants

Fully remote work arrangement

Competitive salary

Professional development budget

Unlimited paid time off

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote AI/ML team. You will design, develop, and deploy advanced models to solve business challenges, with strong emphasis on production readiness and scalability.

You will collaborate with engineers, product managers, and analysts, mentor junior researchers, and stay current on AI advances while communicating complex insights to diverse stakeholders.

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• 6+ years in data science with ML/AI focus.
• Proven track record deploying ML models in production.
• Strong Python and R proficiency; deep learning exp.
• Excellent communication with cross-functional teams.

Responsibilities

• Design, develop, and implement ML models and algorithms for business challenges.
• Perform data mining, wrangling, and feature engineering on large datasets.
• Collaborate with engineers, PMs, and analysts to deliver AI solutions.
• Evaluate models and iterate to improve performance and reliability.
• Mentor junior data scientists and share best practices.

Skills

Python proficiency

Statistical modeling

Machine learning

Deep learning

Communication skills

Education

Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Spark

Hadoop

SQL

AWS

Azure

GCP

Job description

About the Role

Our client, a globally recognized leader in artificial intelligence solutions, is seeking a highly skilled Senior Data Scientist with expertise in AI/ML to join their fully remote team. This position offers the unique opportunity to work on challenging and impactful projects from anywhere in the world. You will be responsible for designing, developing, and deploying advanced machine learning models to solve complex business problems, drive data-driven insights, and enhance product capabilities. The ideal candidate possesses a strong quantitative background, extensive experience with Python and R, and a deep understanding of various machine learning algorithms and deep learning frameworks. You will collaborate with cross-functional teams, including engineers, product managers, and business analysts, to deliver cutting-edge AI solutions. This is a fully remote role, requiring exceptional communication and self-management skills. You will be at the forefront of AI innovation.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and algorithms to address business challenges.
• Perform data mining, data wrangling, and feature engineering on large, complex datasets.
• Utilize statistical analysis and machine learning techniques to extract actionable insights and drive decision-making.
• Build and deploy predictive models, recommendation systems, and other AI-driven solutions.
• Collaborate with engineering teams to integrate models into production systems and applications.
• Evaluate model performance, identify areas for improvement, and iterate on solutions.
• Stay current with the latest advancements in AI, machine learning, deep learning, and data science 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 sharing and best practices.
• Develop and maintain documentation for models, methodologies, and results.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, with a strong focus on machine learning and AI.
• Proven track record of developing and deploying successful ML models in a production environment.
• Expert proficiency in Python (including libraries like TensorFlow, PyTorch, scikit-learn, Pandas, NumPy) and R.
• Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, NLP, computer vision), and deep learning architectures.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong SQL skills and experience working with relational and non-relational databases.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Proven ability to work independently and collaboratively in a fully remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous stock options or equity grants.
• 401(k) retirement plan with company matching.
• Unlimited paid time off policy.
• Professional development budget for conferences, courses, and research.
• Fully remote work arrangement with flexibility in working hours.
• Opportunity to work on groundbreaking AI projects with global impact.