Senior Data Scientist - AI Focus

Placements24

Mossel Bay

Hybrid

ZAR 900,000 - 1,500,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health, dental, and vision insurance
Generous paid time off
Remote work flexibility
Access to cutting-edge data tools

Job summary

Placements24 is seeking a Senior Data Scientist with a strong AI focus to join their team in a fully remote role. You will extract insights from complex datasets, build predictive models, and develop AI-driven solutions that address critical business challenges.

Collaborate with cross-functional teams to identify opportunities for AI value, drive data-informed decisions and product innovation, and apply advanced analytics to impactful projects from your home office.

Qualifications

  • Master's or PhD in a quantitative field (Statistics, CS, Mathematics, or related).
  • 5+ years hands-on data science with a strong AI/ML focus.
  • Proficiency in Python or R with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
  • Strong statistical modeling, experimental design, and data mining skills.
  • Ability to work independently and effectively in a remote setting.

Responsibilities

  • Develop, train, and deploy ML and DL models for predictive analytics and pattern recognition.
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Collaborate with stakeholders to define problem statements and analytical approaches.
  • Create data visualizations and reports to communicate findings to technical and non-technical audiences.
  • Stay current with AI advancements and advocate for their adoption where appropriate.

Skills

Python
R
ML frameworks
Statistical modeling

Education

Master's or PhD in Statistics/CS/Math

Tools

NumPy
Pandas
scikit-learn
TensorFlow
PyTorch

Job description

About the Role

Our client is looking for an accomplished Senior Data Scientist with a strong focus on AI to join their innovative team, operating in a fully remote environment. This role is instrumental in extracting insights from complex datasets, building predictive models, and developing AI-driven solutions that address critical business challenges. You will collaborate with cross-functional teams to identify opportunities where AI can create significant value, driving data-informed decision-making and product innovation. This is an exceptional chance to apply advanced analytical and machine learning techniques to impactful projects, contributing to groundbreaking advancements in AI from your home office.

Key Responsibilities
  • Develop, train, and deploy sophisticated machine learning and deep learning models for predictive analytics, classification, and pattern recognition.
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights relevant to business objectives.
  • Collaborate with stakeholders to define problem statements, design analytical approaches, and interpret model results.
  • Create compelling data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
  • Stay current with the latest advancements in data science, machine learning, and AI, and advocate for their adoption where appropriate.
Requirements
  • Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
  • 5+ years of hands-on experience in data science, with a significant focus on applying AI/ML techniques.
  • Proficiency in programming languages like Python or R, and experience with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
  • Strong understanding of statistical modeling, experimental design, and data mining techniques.
  • Excellent problem-solving abilities and the capacity to work independently and productively in a remote setting.
Benefits
  • Competitive salary and bonus structure tailored to experience.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and opportunities for remote work flexibility.
  • Access to cutting-edge tools and resources for data analysis and model development.
  • A stimulating work environment that encourages intellectual curiosity and professional growth.
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