Remote Senior Data Scientist

Placements24; Benoni; Híbrido; ZAR 1 000 000 - 1 400 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote position

Stock options

Private health insurance

Professional development budget

Conference opportunities

Resumo da oferta

Placements24 is seeking a Senior Data Scientist to join a fully remote, global team operating within South Africa. You will extract insights from complex datasets, build predictive models, and communicate findings to stakeholders, driving data-enabled decisions.

The role requires an advanced degree and 5+ years of hands-on experience in data science, with strong skills in Python or R, SQL, and modern ML frameworks. Remote, international collaboration is a key feature of this position.

Qualificações

• Advanced degree in a quantitative field (Master's/PhD).
• 5+ years hands-on data science experience.
• Proficiency in Python or R with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with large datasets.

Responsabilidades

• Design and implement statistical models and ML algorithms to address business challenges.
• Clean, process, and analyze large, complex datasets from diverse sources.
• Develop and validate predictive models, classifiers, and recommender systems.
• Interpret and communicate complex results to technical and non-technical stakeholders.

Conhecimentos

Python

R

SQL

scikit-learn

TensorFlow

PyTorch

Pandas

Big data

Formação académica

Master's degree or PhD in Statistics/CS/Math

Ferramentas

Spark

Hadoop

Descrição da oferta de emprego

About the Role

Our client, a cutting-edge analytics firm focused on leveraging AI and machine learning, is seeking a highly accomplished Senior Data Scientist to join their fully remote, global team. This is a unique opportunity to drive impactful data-driven projects from anywhere within South Africa . You will be responsible for extracting insights from complex datasets, developing predictive models, and communicating findings to stakeholders. The ideal candidate possesses a strong statistical background, advanced programming skills, and extensive experience in machine learning techniques and their application in solving real-world business problems. This role demands a self-motivated individual who thrives in a remote, collaborative setting and is passionate about pushing the boundaries of data science.

Key Responsibilities

• Design and implement statistical models and machine learning algorithms to address business challenges.
• Clean, process, and analyze large, complex datasets from various sources.
• Develop and validate predictive models, classification models, and recommendation systems.
• Interpret and communicate complex analytical results to both technical and non-technical audiences.
• Collaborate with engineering teams to deploy models into production environments.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Identify opportunities for leveraging data to drive business value and innovation.
• Mentor junior data scientists and contribute to the team's knowledge sharing.

Requirements

• Advanced degree (Master's or Ph.D.) in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and working with large datasets.
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent communication and presentation skills, with the ability to explain complex findings clearly.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Must be based in South Africa .

Benefits

• Fully remote position offering significant work-life flexibility.
• Highly competitive annual salary of R .
• Potential for performance-based bonuses and stock options.
• Comprehensive private health insurance and wellness programs.
• Generous professional development budget for conferences, courses, and certifications.
• Opportunity to work on challenging and innovative projects with a global impact.
• Access to state-of-the-art tools and technologies in data science.