Sr Data Scientist, Data Sciences

• 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.

• 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.

Thermo Fisher Scientific