Sr Data Scientist, Data Sciences

3 weeks ago


Shanghai, China Thermo Fisher Scientific Full time
: Design and execute data science projects, including data collection, cleaning, analysis, and modeling. Develop and optimize machine learning algorithms and models to address complex business problems. Conduct in-depth research and apply deep learning models to improve the accuracy and efficiency of data science. Analyze and interpret data to provide insightful findings and recommendations for business decision-making. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Stay updated on the latest trends and technologies in the field of data science and drive innovation and practical application within the team.

Requirements:

Master's degree in Computer Science, Data Science, Statistics, or related field. Minimum of 3 years of relevant work experience in data science, with a strong background in data analysis, modeling, and machine learning. Specific experience in the application of deep learning models and proficiency in implementing deep learning algorithms to solve real-world problems is highly preferred. Proficiency in data science tools and technologies such as Python, R, SQL, etc. Solid foundation in statistics and mathematics, with knowledge of commonly used statistical analysis and machine learning algorithms. Strong problem-solving skills and innovative thinking, with the ability to translate complex business problems into feasible data science solutions. Excellent communication and teamwork skills, with the ability to collaborate with team members and stakeholders from diverse backgrounds.
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