Leverage advanced statistical modeling and machine learning techniques to solve business challenges across diverse industries.
Design and implement scalable datadriven solutions to address business needs and improve decisionmaking.
Perform data analysis interpret results and develop compelling data visualizations to communicate insights.
Contribute to the creation maintenance and enhancement of data models and analytical tools.
Collaborate with crossfunctional teams to ensure insights are actionable and aligned with business goals.
Present data findings and recommendations clearly to both technical and nontechnical stakeholders.
Support the development and continuous improvement of data processes and methodologies.
Requirements
Bachelor s Master s or PhD degree in Mathematics Computer Science Information Systems Statistics Applied Mathematics Machine Learning or a closely related field.
5 years of experience in data science or machine learning focusing on building predictive models and analytics solutions for realworld business problems.
Strong proficiency in Statistical Modeling Machine Learning algorithms and Python programming.
Ability to manage multiple tasks simultaneously with strong organizational and time management skills.
Proven ability to effectively communicate complex analytical insights in a clear and concise manner.
Experience working in agile development environments contributing to projects with a focus on delivering business value.
Demonstrated ability to work independently as well as part of a collaborative remote team.
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