Senior Data Scientist (Remote)

Placements24; Durban; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Highly competitive salary

Fully remote work arrangement

Comprehensive health and wellness

Generous vacation and personal leave

Continuous learning and professional发展

Access to state-of-the-art tools and技术

Retirement savings plan

Annual performance bonuses

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role. You will design and deploy advanced ML models, transform large datasets, and collaborate with cross-functional teams to drive data-informed decisions.

You’ll mentor junior scientists and stay at the forefront of DS/AI developments. The ideal candidate has 5+ years of hands-on DS/ML experience, strong Python or R skills, and fluency with cloud platforms.

Qualifications

• MS or PhD in a quantitative field (CS/Statistics/Math/Physics).
• Minimum 5 years of hands-on data science and ML experience.
• Proficiency in Python or R with common libraries.
• Strong SQL and big data tech experience (Spark/Hadoop).
• Knowledge of cloud platforms (AWS/Azure/GCP).
• Excellent data visualization and communication skills.
• Ability to work independently in a remote setting.
• Experience with NLP or computer vision is a plus.

Responsibilities

• Design, develop, and deploy advanced ML models and algorithms.
• Analyze data to identify trends and actionable insights.
• Clean and transform large, complex datasets from multiple sources.
• Collaborate with product, engineering, and marketing to translate needs into DS solutions.
• Develop and maintain data pipelines and deployment strategies.
• Present findings clearly to technical and non-technical stakeholders.
• Stay updated with advances in DS, ML, and AI.
• Mentor junior data scientists and share knowledge.
• Evaluate and adopt new tools and technologies to enhance capabilities.

Skills

Python or R proficiency

SQL proficiency

Data visualization

Communication skills

Mentoring junior data scientists

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in predictive analytics, is seeking a highly skilled and experienced Senior Data Scientist to join their innovative and fully remote team. This position offers the unique opportunity to delve into complex datasets, develop cutting‑edge machine learning models, and drive data‑informed decision‑making across the organization. You will work on challenging projects that have a direct impact on business strategy and product development. As a fully remote role, we foster a collaborative environment that thrives on asynchronous communication and clear documentation, ensuring seamless integration regardless of physical location. This is an exceptional chance to apply your expertise in a challenging and rewarding context.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models and algorithms.
• Conduct in‑depth data analysis to identify trends, patterns, and actionable insights.
• Clean, process, and transform large, complex datasets from various sources.
• Collaborate with cross‑functional teams (product, engineering, marketing) to understand business needs and translate them into data science solutions.
• Develop and maintain robust data pipelines and model deployment strategies.
• Communicate complex findings and recommendations clearly and concisely to both technical and non‑technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Evaluate and implement new tools and technologies to enhance data science capabilities.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of hands‑on experience in data science and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit‑learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with cloud platforms (AWS, Azure, GCP) and their data/ML services.
• Excellent data visualization skills.
• Strong communication and presentation abilities.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Experience with natural language processing (NLP) or computer vision is a plus.

Benefits

• Highly competitive salary.
• Fully remote work arrangement.
• Comprehensive health and wellness benefits.
• Generous vacation and personal leave.
• Opportunities for continuous learning and professional development.
• Access to state‑of‑the‑art tools and technologies.
• Retirement savings plan.
• Annual performance bonuses.