Data Scientist

10 Minutes ago • All levels • $55,000 PA - $60,000 PA
Data Analysis

Job Description

Contribute to the development and deployment of machine learning models and data-driven solutions. Collaborate with cross-functional teams to identify opportunities for data science. Assist in designing experiments and A/B tests. Build and maintain predictive models, optimization algorithms, or forecasting systems. Analyze large and complex datasets to uncover actionable insights. Present technical findings clearly to stakeholders and follow best practices in code documentation, version control, and reproducibility.
Must Have:
  • Contribute to the development and deployment of machine learning models and data-driven solutions to solve business problems
  • Collaborate with cross-functional teams to identify opportunities where data science can add value
  • Assist in designing experiments and A/B tests to evaluate product and feature performance
  • Build and maintain predictive models, optimization algorithms, or forecasting systems under guidance
  • Analyze large and complex datasets to uncover actionable insights
  • Present technical findings in a clear and concise manner to both technical and non-technical stakeholders
  • Follow best practices in code documentation, version control, and reproducibility

Add these skills to join the top 1% applicants for this job

cross-functional
forecasting-budgeting
game-texts
data-science
algorithms
machine-learning

Job Description

Key Responsibilities

  • Contribute to the development and deployment of machine learning models and data-driven solutions to solve business problems
  • Collaborate with cross-functional teams to identify opportunities where data science can add value
  • Assist in designing experiments and A/B tests to evaluate product and feature performance
  • Build and maintain predictive models, optimization algorithms, or forecasting systems under guidance
  • Analyze large and complex datasets to uncover actionable insights
  • Present technical findings in a clear and concise manner to both technical and non-technical stakeholders
  • Follow best practices in code documentation, version control, and reproducibility

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