Remote Data Scientist - Machine Learning Specialist

Placements24; Willows (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Paid time off

Professional development

Job summary

Placements24 is seeking a highly skilled Data Scientist with a specialization in Machine Learning for a fully remote role. You will design, implement, and deploy cutting-edge ML models addressing complex business challenges, working within a world-class R&D team.

You should hold a Master’s or PhD in a quantitative field and demonstrate strong Python expertise, ML libraries, and experience with cloud platforms.

Qualifications

• Advanced degree in a quantitative field with research or industry ML experience.
• Proficiency in Python and ML libraries; ability to deploy models in production.
• Experience with cloud platforms and big data technologies is desirable.

Responsibilities

• Design, develop, and implement machine learning models for predictive analytics, NLP, and computer vision.
• Clean and preprocess large datasets for model training.
• Evaluate model performance and iterate to optimize accuracy and efficiency.
• Collaborate with engineers to deploy models into production environments.
• Stay updated on ML research and communicate insights to stakeholders.

Skills

Python programming

Statistical modeling

ML model deployment

Communication

Education

Master's or PhD in CS/Statistics/Math

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

AWS/Azure/GCP

Job description

About the Role

Our client, a global leader in AI-driven solutions, is seeking a highly skilled and motivated Data Scientist with a specialization in Machine Learning to join their fully remote team. This is a unique opportunity for an accomplished professional to contribute to groundbreaking projects, developing and deploying advanced machine learning models that solve complex business challenges. You will be part of a world‑class research and development division, working alongside leading experts in the field. The role demands a deep understanding of statistical modeling, predictive analytics, and algorithm development. We are committed to fostering an environment that promotes innovation, intellectual curiosity, and continuous learning, offering significant autonomy and impact to our remote workforce.

Key Responsibilities

Design, develop, and implement machine learning models for various applications, including predictive modeling, natural language processing, and computer vision. Clean, preprocess, and transform large, complex datasets to prepare them for model training. Evaluate model performance, iterate on model design, and optimize for accuracy and efficiency. Collaborate with engineering teams to deploy models into production environments. Stay abreast of the latest research and advancements in machine learning and artificial intelligence. Communicate complex findings and model insights to technical and non-technical stakeholders through clear visualizations and reports. Develop and maintain robust data pipelines and MLOps practices. Conduct exploratory data analysis to uncover actionable insights and identify new opportunities for ML application. Mentor junior data scientists and contribute to the team's knowledge base.

Requirements

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven experience in developing and deploying machine learning models in a production environment. Strong proficiency in Python and its data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). Solid understanding of statistical concepts, algorithms, and best practices in machine learning. Experience with big data technologies (e.g., Spark, Hadoop) is a plus. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and collaboration skills, with the ability to work effectively in a remote team setting. Experience with cloud platforms (AWS, Azure, GCP) is highly desirable. A portfolio of ML projects or contributions to open-source projects is advantageous. Must be authorized to work remotely and legally in South Africa.

Benefits

This fully remote position offers a highly competitive salary and an excellent benefits package, including comprehensive health insurance, retirement contributions, and generous paid time off. Employees have the flexibility to work from anywhere within South Africa, promoting an optimal work-life balance. Our client invests heavily in professional development, providing access to cutting-edge training, conferences, and opportunities to publish research. You will work on challenging and impactful projects with a globally distributed, talented team, fostering continuous growth and innovation. This role offers significant autonomy and the chance to make a real impact.