Data Scientist
What you’ll do - Use machine learning, statistics and advanced analytics to solve business challenges in forecasting, planning and decision-making. - Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value. - Design, build and deploy forecasting and machine learning solutions with machine learning engineers and data engineers to support business planning and optimization. - Communicate model results and data-driven insights to colleagues and stakeholders. - Explore large, complex datasets to uncover insights that drive business value. - Develop tools and frameworks for common machine learning needs such as model traceability, feature reuse, and A/B testing. - Be part of a cross-functional agile team of engineers, data scientists and business experts developing ML solutions.
Data Scientist
What you’ll do - Use machine learning, statistics and advanced analytics to solve business challenges in forecasting, planning and decision-making. - Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value. - Design, build and deploy forecasting and machine learning solutions with machine learning engineers and data engineers to support business planning and optimization. - Communicate model results and data-driven insights to colleagues and stakeholders. - Explore large, complex datasets to uncover insights that drive business value. - Develop tools and frameworks for common machine learning needs such as model traceability, feature reuse, and A/B testing. - Be part of a cross-functional agile team of engineers, data scientists and business experts developing ML solutions.
Who you are - Degree in applied mathematics, statistics, physics, engineering, machine learning or a related field, with a strong desire to learn. - Solid foundation in ML and statistics, able to apply concepts to real business problems. - Experience developing and evaluating ML models using Python and common data science libraries. - Understanding of the ML lifecycle from problem definition to deployment. - Experience working in cross-functional and agile environments with technical and business stakeholders. - Experience with time series, forecasting or optimization is beneficial. - Comfortable with cloud platforms, such as Google Cloud. - Hands-on and proactive in turning b
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Who you are - Degree in applied mathematics, statistics, physics, engineering, machine learning or a related field, with a strong desire to learn. - Solid foundation in ML and statistics, able to apply concepts to real business problems. - Experience developing and evaluating ML models using Python and common data science libraries. - Understanding of the ML lifecycle from problem definition to deployment. - Experience working in cross-functional and agile environments with technical and business stakeholders. - Experience with time series, forecasting or optimization is beneficial. - Comfortable with cloud platforms, such as Google Cloud. - Hands-on and proactive in turning b
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Based on: Data Scientist
Насколько эта вакансия подходит вашему резюме
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