Remote Lead Data Scientist — ML Leadership & Impact

Placements24

Durban

Hybrid

ZAR 1,200,000 - 2,400,000

Full time

14 days+

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Benefits offered by this job

Remote work
Equity options
Health insurance
Professional development allowance
Global team experience

Job summary

Placements24 is seeking a Lead Data Scientist to drive advanced analytics while leading a remote team. You will develop ML models and predictive analytics, guiding research from concept to production in a remote-first culture.

You will mentor data scientists, collaborate with stakeholders, design experiments, and present insights to diverse audiences, staying ahead of ML and AI advances.

Qualifications

  • PhD or MS in Data Science, Statistics, CS or related quantitative field.
  • 8+ years of progressive experience in data science and ML.
  • Proven track record leading data science projects and teams.
  • Proficient in Python or R and ML libraries.
  • Deep understanding of statistical modeling and ML algorithms.
  • Experience with Spark/Hadoop and SQL/NoSQL databases.

Responsibilities

  • Lead design, development, and deployment of ML models and analytical solutions.
  • Mentor and manage a team of data scientists.
  • Collaborate with stakeholders to identify business challenges for data-driven solutions.
  • Develop and implement rigorous statistical analyses and A/B testing frameworks.
  • Communicate complex findings clearly to technical and non-technical audiences.
  • Stay current with advances in data science, ML, and AI and advocate adoption.

Skills

Data science leadership
Machine learning
Python
R
Spark
Experiment design
Big data
SQL/NoSQL

Education

PhD or MS in quantitative field

Tools

TensorFlow
PyTorch
scikit-learn

Job description

Placements24 is seeking a Lead Data Scientist to drive advanced analytics while leading a remote team. You will develop ML models and predictive analytics, guiding research from concept to production in a remote-first culture.

You will mentor data scientists, collaborate with stakeholders, design experiments, and present insights to diverse audiences, staying ahead of ML and AI advances.

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