Senior Data Scientist (AI Product)

Reponsibilities

• Collect and clean data. This includes identifying and collecting data from a variety of sources, and cleaning and formatting the data so that it can be analyzed.
• Analyze data. This includes using statistical and machine learning techniques to identify patterns and trends in the data.
• Build models. This includes using the patterns and trends identified in the data to build models that can be used to make predictions or decisions.
• Communicate findings. This includes presenting the findings of the analysis to stakeholders in a clear and concise way.
• Work with other teams. This includes working with product managers, engineers, and marketing teams to ensure that the findings of the analysis are used to improve the company's products and services.
• Mentor junior data scientists. This includes providing guidance and support to junior data scientists, helping them to develop their skills and knowledge.
• Stay up-to-date on the latest data science trends and technologies. This includes reading research papers, attending conferences, and participating in online communities.
• Contribute to the development of the company's data science strategy. This includes identifying new opportunities for data science, developing metrics for success, and communicating the strategy to stakeholders.Present data science findings to senior management. This includes communicating the findings in a clear and concise way, and answering questions from senior management.

Requirements

• Bachelor/Master’s Degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of relevant experience
• 3+ years of experience in data science, with a focus on machine learning and NLP
• Experience with large-scale data sets.
• Experience with a variety of data science tools and technologies.
• Experience with working in a cross-functional team environment
• Strong programming skills in Python, R, or another statistical programming language.
• Strong understanding of machine learning algorithms and techniques.
• Strong understanding of statistical concepts and methods.
• Strong communication and presentation skills.
• Strong ability to work independently and as part of a team.
• Strong ability to learn new things quickly.
• A passion for data science and a desire to make a positive impact on the world.
• A strong work ethic and a commitment to excellence.
• A positive attitude and a willingness to help others.