As a Data Scientist, you will bring your Data Science, Machine Learning, and NLP expertise to various projects. You will collaborate with technology teams, product managers, and domain experts to build high-value data products and capabilities based on our extensive catalog of scientific content. Your work will significantly impact processes that affect our customer-facing products.
Responsibilities
Collaborate with Product Owners and Software Engineers to translate business needs into data science projects and define quality metrics.
Propose end-to-end solutions for complex problems in content analysis, utilizing diverse technical and human resources.
Develop and report Machine Learning models by analyzing data requirements to identify improvements in methodology and performance.
Ensure best practices are followed, such as experiment reproducibility and responsible data science principles, to align processes.
Work with the Machine Learning Ops team to deliver robust deployment and usage of Machine Learning models in production.
Suggest and implement innovative ideas to improve operations content, leveraging new methods, resources, and perspectives.
Requirements
Hold at least a BSc degree in a technological or quantitative field with two to five years of experience.
Display excellent knowledge of deep learning models such as LLMs, Transformers, Graph Networks, and Multimodal networks.
Proficiency in working with either Pytorch or TensorFlow.
Demonstrate deep knowledge of advanced Machine Learning concepts and the state-of-the-art (SoTA) techniques.
Coding proficiency using related open-source libraries and frameworks.
Strong knowledge of modern Python programming.
Understand and execute complex methods within your discipline, industry, and domain.
Ability to scope and build best practices around the usage of Data Science frameworks.