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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