About Brightfield Group. Brightfield Group is a cannabis market research company comprised of a team of experts across the country with years of experience analyzing opaque markets with the most sophisticated analytical and statistical tools available. We give the most accurate and comprehensive consumer, brand, and market insights into the cannabis industries providing a critical edge in this quickly emerging and competitive market. We accomplish this through cutting-edge social listening, expertly constructed surveys, triangulated market-sizing, innovative online data-crawlers, and thorough, empathic qualitative research. You will join our growing data science team, leveraging the latest technology in natural language processing, machine learning, and artificial intelligence to provide the most holistic view of the cannabis industry and its consumers.
Your role. The selected applicant will support the development of novel machine learning algorithms (supervised regression/classification, unsupervised learning, NLP, and forecasting)to inform consumer and market predictions. He/she will help construct social listening tools, online data crawlers, predictive models, and user-friendly dashboards to translate data into palpable insights for our clients. Alongside senior research staff at Brightfield, he/she will help build the growing foundation of the technical team. They will be integral in creating innovative client solutions and efficient ways to leverage our capabilities.
Ideal Skills and Characteristics. The ideal candidate will possess exceptional programming and statistical skills, and the ability to create and communicate complex concepts through sophisticated data visualizations. They will embrace learning new skills, building new systems, and working in a fast-paced, flexible, start-up environment. They take ownership over their work and exhibit creativity, curiosity, and grit in their endeavors. We welcome your adaptability, your curiosity, and your passion to contribute to our cutting-edge research of this growing, fascinating industry.
Compensation and benefits. Based on level of experience.
Job Types: Full-time, Part-time, Contract