Senior AI/ML Data Scientist - Hybrid, Conference-Ready

Placements24

United States

Hybrid

USD 61,000 - 85,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Conference attendance opportunities
Medical/retirement benefits

Job summary

Placements24 is seeking a Senior Data Scientist specializing in AI/ML to design, develop, and deploy advanced models for business insights. You will work with large datasets, implement production‑grade ML pipelines, and collaborate with engineers and stakeholders.

Candidate has 5+ years in data science, strong Python, ML libraries, SQL, and cloud experience; hybrid work model in Centurion, SA, with opportunities to attend international conferences.

Qualifications

  • Master's or PhD in a quantitative field.
  • 5+ years as Data Scientist or ML Engineer.
  • Production experience deploying ML models.
  • Strong Python and ML library skills.
  • SQL for data extraction and manipulation.
  • Knowledge of major ML algorithms.
  • Experience with big data tech is a plus.
  • Excellent communication and problem solving.

Responsibilities

  • Design and implement advanced ML models for predictive tasks.
  • Prepare large, complex datasets for training.
  • Explore data to identify patterns and insights.
  • Evaluate and improve model performance.
  • Deploy models in production with engineers.
  • Stay updated on AI/ML research.
  • Collaborate with stakeholders to translate requirements.
  • Explain findings clearly to technical and non-technical audiences.
  • Mentor junior data scientists and contribute to growth.
  • Document data pipelines, models, and analyses.

Skills

Analytical thinking
Communication
Mentorship

Education

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

Tools

Python
scikit-learn
TensorFlow
PyTorch
Pandas
NumPy
SQL
Spark
Hadoop
AWS/Azure/GCP

Job description

Placements24 is seeking a Senior Data Scientist specializing in AI/ML to design, develop, and deploy advanced models for business insights. You will work with large datasets, implement production‑grade ML pipelines, and collaborate with engineers and stakeholders.

Candidate has 5+ years in data science, strong Python, ML libraries, SQL, and cloud experience; hybrid work model in Centurion, SA, with opportunities to attend international conferences.

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