Remote Senior Data Scientist (Machine Learning)

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Health benefits

Flexible schedule

Remote work

Job summary

Placements24 is seeking a highly skilled Remote Senior Data Scientist specializing in Machine Learning. You will develop, deploy, and refine ML models to solve real business problems while driving data-driven insights.

The role requires a strong statistical and ML foundation, plus excellent communication with cross-functional teams. You will mentor junior data scientists, collaborate with engineers and product teams, and stay ahead of ML research to guide strategic data initiatives.

Qualifications

• Advanced degree in a quantitative field with strong ML foundation.
• Proven experience building and deploying ML models at scale.
• Strong communication and stakeholder management skills.

Responsibilities

• Develop, train, and deploy advanced ML models for business challenges.
• Perform exploratory data analysis to uncover trends and insights.
• Design experiments to test hypotheses and validate models.
• Clean and preprocess large datasets for model training.
• Evaluate and compare ML algorithms and techniques.
• Collaborate with engineers to productionize models.
• Communicate findings with clear visualizations to stakeholders.
• Stay updated on ML research and industry advancements.
• Mentor junior data scientists and share knowledge.
• Identify opportunities where data science adds value.

Skills

Python

R

Machine Learning

Spark

Data Visualization

Communication

Education

Master's or PhD in CS/Stats/Math

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

SQL

NoSQL

Job description

About the Role

Our client is seeking a highly accomplished Remote Senior Data Scientist with a specialization in Machine Learning to join their innovative data science division. This is a fully remote position, offering unparalleled flexibility and the chance to work on challenging, impactful projects. You will be responsible for developing advanced machine learning models, driving data-driven insights, and contributing to the strategic direction of our data initiatives. The ideal candidate possesses a strong theoretical foundation in statistics and machine learning, coupled with practical experience in implementing models that solve real-world business problems. You will collaborate closely with engineers, product managers, and business stakeholders to translate complex data into actionable strategies. This role demands a self-starter mentality, excellent analytical skills, and the ability to communicate intricate findings clearly to both technical and non-technical audiences.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models to address business challenges.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights.
• Design and implement experiments to test hypotheses and validate model performance.
• Clean, preprocess, and transform large datasets for model training.
• Evaluate and compare different machine learning algorithms and techniques.
• Collaborate with engineering teams to integrate ML models into production systems.
• Communicate findings, insights, and recommendations to stakeholders through clear visualizations and presentations.
• Stay abreast of the latest research and advancements in machine learning and data science.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Identify new opportunities for leveraging data science and machine learning to drive business value.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on Machine Learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and evaluation metrics.
• Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
• Familiarity with database technologies (SQL and NoSQL) and data warehousing concepts.
• Excellent data visualization skills.
• Strong analytical and problem-solving abilities.
• Effective communication skills, with the ability to explain complex concepts clearly.
• Demonstrated ability to work independently and manage projects in a remote setting.

Benefits

This fully remote position offers a highly competitive salary, comprehensive health benefits, and a flexible work environment. Our client provides significant opportunities for professional growth, access to cutting-edge tools and technologies, and a stimulating work culture that values innovation and collaboration. Employees also benefit from performance bonuses, retirement plans, and regular virtual team-building events, fostering a strong sense of community despite the distributed nature of the team.