Senior Data Scientist

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 900,000 - 1,200,000

Full time

2 days ago
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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

About the Role

Our client is seeking a highly skilled and innovative Senior Data Scientist to join their fully remote data analytics team. This role is pivotal in extracting valuable insights from complex datasets to drive business strategy and product development. You will be responsible for designing and implementing machine learning models, advanced statistical analyses, and data visualization techniques. The ideal candidate thrives in a virtual setting, possesses strong analytical and programming skills, and is passionate about leveraging data to solve challenging business problems. This is an excellent opportunity for a forward-thinking data scientist to make a significant impact.

Key Responsibilities
  • Develop and deploy machine learning models for predictive analytics, classification, and clustering.
  • Perform in-depth statistical analysis and data mining on large datasets.
  • Design and execute A/B tests and other experimental designs to validate hypotheses.
  • Collaborate with engineers and product managers to integrate data science solutions into products.
  • Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science, machine learning, and AI.
Requirements
  • Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience as a Data Scientist or in a similar analytical role.
  • Expertise in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Proficiency with SQL and experience working with large databases and big data technologies (e.g., Spark, Hadoop).
  • Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
  • Excellent problem-solving abilities and experience working effectively in a remote team environment.
Benefits
  • Highly competitive salary and stock options/performance bonuses.
  • Fully remote work arrangement with significant flexibility.
  • Comprehensive health, dental, and vision insurance.
  • Generous professional development budget for conferences and training.
  • Access to cutting-edge technology and cloud computing resources.
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