1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on.
2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results.
3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team.
4. Carry out research on cutting-edge data science techniques, approaches, tools, and application scenarios.
5. Work closely with diverse roles such as data scientists, project managers, product managers, data engineers, web developers, designers to name just a few to scale MoBagel’s products.