Remote Senior Data Scientist — ML Innovator, Stock Options

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Remote work with flexibility

Health, dental, vision insurance

Professional development budget

Access to cutting-edge technology and云

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote analytics team. You will design and deploy ML models, perform advanced statistics, and visualize data to guide product decisions.

The ideal candidate has 5+ years in data science, deep knowledge of Python or R, SQL, and experience with Spark or Hadoop. You’ll communicate insights to diverse stakeholders and stay current with AI advances.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of professional data science experience.
• Proficiency in Python or R with scikit-learn, TensorFlow or PyTorch.
• SQL experience with large databases and big data tech like Spark or Hadoop.
• Strong statistics, ML algorithms, and experimental design.
• Excellent communication in a remote team environment.

Responsibilities

• Develop and deploy ML models for predictive analytics, classification, and clustering.
• Perform in-depth statistical analysis and data mining on large datasets.
• Design and run A/B tests and experiments to validate hypotheses.
• Collaborate with engineers and product managers to integrate data science into products.
• Present findings clearly to technical and non-technical stakeholders.
• Stay current with advances in data science, ML, and AI.

Skills

Analytical skills

Programming skills

Remote collaboration

Education

Master's degree in CS/Statistics/Math

PhD in quantitative field

Tools

Python

R

SQL

Spark

Hadoop

TensorFlow

PyTorch

Job description

Placements24 is seeking a Senior Data Scientist to join a fully remote analytics team. You will design and deploy ML models, perform advanced statistics, and visualize data to guide product decisions.

The ideal candidate has 5+ years in data science, deep knowledge of Python or R, SQL, and experience with Spark or Hadoop. You’ll communicate insights to diverse stakeholders and stay current with AI advances.