Remote Senior Data Scientist

Placements24

Pretoria

Hybrid

ZAR 900,000 - 1,300,000

Full time

43 hours ago
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Benefits offered by this job

Remote-first culture
Health insurance
Bonus potential
Stock options

Job summary

WhatJobs Direct is seeking a Senior Data Scientist to join our advanced analytics team in a fully remote role. You will leverage statistical modeling, machine learning, and data visualization to extract actionable insights from large datasets and inform decision-making.

You will mentor junior scientists, design experiments, build data pipelines, and collaborate with researchers and engineers to shape our data strategy.

Qualifications

  • Masters/PhD in quantitative field (Statistics, CS, Math, Physics)
  • 5+ years of data science experience
  • Strong Python or R skills with ML libraries
  • SQL and data engineering exposure
  • Experience with large datasets and distributed computing (Spark)
  • Data visualization proficiency (Matplotlib/Seaborn/Tableau)

Responsibilities

  • Develop and implement advanced statistical models and ML algorithms.
  • Analyze large, complex datasets to identify trends and insights.
  • Design experiments to test hypotheses and validate findings.
  • Build data pipelines and ETL processes for data quality and accessibility.
  • Create data visualizations and reports for technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to translate business needs into data science solutions.
  • Mentor junior data scientists and contribute to technical growth.
  • Stay updated with advancements in data science, ML, and AI.

Skills

Python
R
SQL
Distributed computing

Education

Master's or Ph.D. in Statistics/CS/Mathematics/Physics

Tools

TensorFlow/PyTorch
scikit-learn
Tableau
Spark

Job description

About the Role

WhatJobs Direct is seeking an exceptional Senior Data Scientist to join our advanced analytics team. This is a fully remote opportunity, allowing you to work from any location while contributing to groundbreaking scientific research. You will leverage your expertise in statistical modeling, machine learning, and data visualization to extract actionable insights from complex datasets. The role involves collaborating with researchers and engineers to tackle challenging problems, develop predictive models, and drive data-informed decision-making. As a Senior Data Scientist, you will play a key role in shaping our data strategy, mentoring junior team members, and communicating complex findings to diverse stakeholders. We are committed to fostering a remote-first culture that prioritizes flexibility, collaboration, and professional growth. This position is ideal for a proactive and analytical individual passionate about making a tangible impact through data science.

Key Responsibilities
  • Develop and implement advanced statistical models and machine learning algorithms.
  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Design and conduct experiments to test hypotheses and validate findings.
  • Build data pipelines and ETL processes to ensure data quality and accessibility.
  • Create compelling data visualizations and reports to communicate findings to technical and non-technical audiences.
  • Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
  • Mentor junior data scientists and contribute to the team's technical development.
  • Stay current with the latest advancements in data science, machine learning, and AI.
  • Contribute to the development of data governance and best practices.
Requirements
  • Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
  • 5+ years of experience as a Data Scientist or in a similar analytical role.
  • Strong proficiency in Python or R, including libraries for data manipulation, analysis, and machine learning (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
  • Experience with SQL and database technologies.
  • Proven ability to work with large datasets and distributed computing frameworks (e.g., Spark).
  • Excellent understanding of statistical modeling, machine learning techniques, and experimental design.
  • Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
  • Exceptional problem-solving and critical-thinking abilities.
  • Effective communication and interpersonal skills, suitable for remote collaboration.
Benefits
  • This fully remote position offers a highly competitive salary, a comprehensive benefits package including health, dental, and vision insurance, and a robust retirement savings plan.
  • Enjoy the flexibility of working from home while collaborating with a globally distributed team of experts.
  • Our client provides excellent opportunities for professional development, including training budgets for courses and conferences.
  • Performance-based bonuses and potential for stock options are also part of the compensation package.
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