Senior Data Scientist - AI/ML

Placements24

Pietermaritzburg

Hybride

ZAR 900 000 - 1 800 000

Plein temps

Il y a 9 jours

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Avantages offerts par ce poste

Competitive salary and bonuses
Full remote work flexibility
Professional development budget
Health, dental, and vision benefits
Stock options and long-term incentives

Résumé du poste

Placements24 is seeking a Senior Data Scientist to join a fully remote team focused on data-driven AI and ML solutions. The role involves developing predictive models, tackling complex data challenges, and collaborating across functions to deploy insights into products.

Ideal candidates have 5+ years in data science, advanced degrees, and strong Python or R skills with TensorFlow/PyTorch. Remote work flexibility and a focus on responsible AI are emphasized.

Qualifications

  • Master’s or PhD in a quantitative field (CS/Stats/Math).
  • 5+ years of hands-on data science with a focus on AI/ML.
  • Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Strong statistical modeling, experimental design, and data mining skills.
  • Excellent problem-solving and analytical abilities.
  • Strong communication to explain technical concepts to varied audiences.
  • Experience with MLOps is a plus; able to work in a fully remote environment.

Responsabilités

  • Develop, train, and deploy advanced ML models and AI algorithms.
  • Conduct in-depth data analysis to uncover trends and insights.
  • Design and run experiments to validate model performance.
  • Collaborate with engineering to productionize ML models.
  • Work with large, complex datasets from diverse sources.
  • Stay current with AI/ML advancements and methodologies.
  • Communicate findings to technical and non-technical stakeholders.
  • Mentor junior data scientists and share knowledge.
  • Evaluate and select appropriate tools and technologies for data science projects.
  • Ensure ethical and responsible use of AI and data.

Connaissances

AI/ML expertise
Python or R
Big data
Cloud platforms
MLOps
Communication
Remote collaboration

Formation

Master's or PhD in CS/Statistics/Math

Outils

TensorFlow
PyTorch
scikit-learn
Spark
Hadoop
AWS
Azure
GCP

Description du poste

About the Role

Our client, a leading innovator in data-driven solutions, is looking for a Senior Data Scientist with expertise in Artificial Intelligence and Machine Learning to join their fully remote team. This role is central to developing cutting-edge predictive models and AI solutions that drive business value. You will tackle complex data challenges, design and implement ML algorithms, and work closely with cross-functional teams to integrate insights into our product offerings. This is an exceptional opportunity for an experienced data scientist to make a significant impact from anywhere in the country, contributing to groundbreaking AI advancements.

Key Responsibilities
  • Develop, train, and deploy advanced machine learning models and AI algorithms.
  • Conduct in-depth data analysis to identify trends, patterns, and insights.
  • Design and implement experiments to test hypotheses and validate model performance.
  • Collaborate with engineering teams to integrate ML models into production systems.
  • Work with large, complex datasets from various sources.
  • Stay current with the latest advancements in AI, ML, and data science methodologies.
  • 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.
  • Evaluate and select appropriate tools and technologies for data science projects.
  • Ensure the ethical and responsible use of AI and data.
Requirements
  • Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of hands-on experience in data science, with a strong focus on AI/ML.
  • Proven track record of building and deploying successful machine learning models.
  • Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Strong understanding of statistical modeling, experimental design, and data mining techniques.
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Experience with MLOps practices is a plus.
  • Ability to thrive in a fully remote, collaborative work environment.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision benefits.
  • Stock options and long-term incentives.
  • Full remote work flexibility.
  • Generous budget for professional development, conferences, and training.
  • Opportunity to work on challenging and impactful AI projects.
  • A dynamic and innovative remote team culture.
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