Senior Data Scientist - Hybrid, Data Strategy & ML

Placements24

Sandton

Hybrid

ZAR 900,000 - 1,500,000

Full time

44 hours ago
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Benefits offered by this job

Hybrid work model
Health, dental, and vision insurance
Professional development budget
Challenging data projects

Job summary

Placements24 in Sandton is seeking a Senior Data Scientist to lead advanced statistical modeling and machine learning initiatives. You will extract insights from complex datasets and drive data-informed decisions in a hybrid work environment.

The role requires a Master’s or PhD in a quantitative field, 5+ years of experience, and proficiency in Python or R, with hands-on experience in Pandas, NumPy, SQL, and data visualization tools such as Tableau or Power BI.

Qualifications

  • Master's or PhD in a quantitative field (Statistics, CS, Math, or Economics).
  • 5+ years of data science experience.
  • Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).

Responsibilities

  • Develop and implement advanced statistical models and ML algorithms.
  • Analyze large datasets to identify trends, patterns, and insights.
  • Design and conduct experiments to test hypotheses and evaluate model effectiveness.
  • Collaborate with stakeholders to translate data needs into analytical solutions.
  • Communicate complex findings clearly to technical and non-technical audiences.
  • Stay current with the latest advancements in data science, ML, and AI.

Skills

Python
R
Pandas
NumPy
SQL
Tableau
Power BI
Statistical modeling
Machine learning
Experiment design

Education

Master's or PhD in a quantitative field

Job description

Placements24 in Sandton is seeking a Senior Data Scientist to lead advanced statistical modeling and machine learning initiatives. You will extract insights from complex datasets and drive data-informed decisions in a hybrid work environment.

The role requires a Master’s or PhD in a quantitative field, 5+ years of experience, and proficiency in Python or R, with hands-on experience in Pandas, NumPy, SQL, and data visualization tools such as Tableau or Power BI.

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