Senior Data Scientist - E-Commerce

Senior Data Scientist w/ MIT backed startup- FULL REMOTE! This Jobot Job is hosted by: Oliver Belkin We're an MIT based startup organization focused on cloud infrastructure allowing business to scale much quicker, while saving money. You'll have the chance to work with world class engineers coming from MIT, Harvard, Stanford, Microsoft, Netflix, Databricks, and Cloudability to name a few of our alumni. This role is 100% remote although we have hubs in the Boston and Portland regions for those looking to work onsite or on a hybrid basis. Great compensation, meaningful equity, top notch medical benefits, and the ability to work alongside some of the brightest engineers coming from top companies and engineering universities. We are currently seeking a dynamic and experienced Senior Data Scientist to join our technology team. This is a full time (and fully remote) position that will offer you an opportunity to be at the forefront of the technology industry, working with a team of highly skilled professionals in a collaborative, innovative, and fast-paced environment. As a Senior Data Scientist, you will be at the heart of our operations, making critical decisions that will shape the future of our organization. Developing and implementing innovative data models to solve complex business problems. Utilizing Python, Python Data Science library, SQL, and AWS to analyze and interpret complex data sets. Exploring and understanding data to identify patterns, trends, and insights. Collaborating closely with cross-functional teams to convert research into product ideas. Driving the collection of new data and the refinement of existing data sources. Maintaining a genuine curiosity around cloud, big data, and infrastructure to stay updated on the latest industry trends and technologies. Presenting and explaining data-driven insights to non-technical stakeholders in a clear and compelling manner. A minimum of 3 years of experience in a data science role, preferably within the technology industry. Proficiency in Python, AWS, Python Data Science library, and SQL. A strong understanding of and experience with cloud, big data and infrastructure. Proven experience in converting research into product ideas and driving them to completion. Excellent problem-solving skills with an ability to analyze complex data, identify key trends, and make data-driven decisions. A bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field.