Senior Data Scientist

Placements24

Mossel Bay

Hybrid

ZAR 900,000 - 1,200,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Professional development
Remote work

Job summary

Placements24 is seeking a highly analytical Senior Data Scientist to join a fully remote, global team. You will build and deploy machine learning models, extract insights from large datasets, and design experiments to quantify impact across business units.

You will collaborate with engineering and product teams to embed data science into production systems, communicate complex results to stakeholders, and stay ahead of advances in ML and AI in a flexible, collaborative setting.

Qualifications

  • Master's or PhD in Statistics, Computer Science, Mathematics or related quantitative field.
  • 5+ years of professional experience in data science or ML roles.
  • Strong proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL and NoSQL, big data tech (Spark, Hadoop).

Responsibilities

  • Develop, validate, and deploy ML models to address business problems.
  • Analyze large datasets to identify trends and generate insights.
  • Design and run A/B tests and experiments to measure impact.
  • Collaborate with engineering/product teams to productionize data solutions.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Keep abreast of latest data science and AI advances.

Skills

Python
R
SQL
Machine Learning
Data Visualization

Education

Master's or PhD in Statistics, CS, Math

Tools

scikit-learn
TensorFlow
PyTorch
Spark
Hadoop

Job description

About the Role

Our client is seeking a highly analytical and innovative Senior Data Scientist to join their remote team and drive data-driven decision-making across the organization. This role will involve leveraging advanced statistical and machine learning techniques to extract valuable insights from complex datasets, build predictive models, and develop data products that solve critical business challenges. You will have the autonomy to explore data, experiment with new methodologies, and collaborate with cross-functional teams to implement data solutions that yield tangible business value. This is an exceptional opportunity for a seasoned data scientist passionate about uncovering patterns and influencing strategy through data, within a flexible and collaborative remote work environment.

Key Responsibilities
  • Develop, validate, and deploy machine learning models to address specific business problems.
  • Perform in-depth data analysis, identify trends, and generate actionable insights from large, complex datasets.
  • Design and implement A/B tests and other experiments to measure the impact of new features or strategies.
  • Collaborate with engineering and product teams to integrate data science models into production systems.
  • Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
Requirements
  • Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science or machine learning roles.
  • Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL and NoSQL databases, as well as big data technologies (e.g., Spark, Hadoop).
  • Proven ability to translate business requirements into analytical problems and deliver data-driven solutions.
  • Excellent communication and presentation skills for effectively conveying complex information.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive health and wellness benefits.
  • Significant opportunities for professional development and attending conferences.
  • Flexible remote work arrangements with a focus on work-life balance.
  • Chance to work on impactful projects with cutting-edge data technologies.
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