HELP US MAKE HISTORY. Millions trust Leafly to help them find unbiased information about nearby strains and dispensaries, discover new cannabis brands and products, and to stay up-to-date on the latest cannabis information. Leafly started as an excel spreadsheet and has since grown to become the largest cannabis information resource in the world. We are expanding rapidly, and we are looking for smart, forward-thinking leaders to help us achieve our goal of shaping the global cannabis landscape.
A career at Leafly combines the excitement of a start-up, the social purpose of a non-profit, and the growth opportunities of a major corporation. Leafly salaries and benefit packages are very competitive, the office perks are excellent, and we promise that you will never be bored. If you have what it takes, you will be joining a global network of innovative, passionate individuals on a revolutionary mission to change the world for the better.
We are currently seeking a talented Data Scientist to work in our Data Science department at our headquarters in Seattle, WA.
What you will be doing: We are looking for a curious data/research scientist to help drive business insights and build consumer-facing cannabis product and recommendation tools.
Responsibilities:
- Design and implement product recommendation systems for our end users
- Proactively analyze data and conduct research to provide unseen business insights
- Work across Data, Product, and Marketing teams to provide actionable insights that enable data-driven decisions
- Help educate and inform colleagues at all levels of company in order to foster a data-driven company culture
Qualifications:
- 2+ experience working with analytics or data science teams.
- A deep passion for data analysis and quantitative thinking, as well as demonstrated ability to use this passion to drive actionable business insights.
- Ability to think critically and work on open-ended problems.
- Demonstrated in excellence in programming, with a strong preference for Python and SQL.
- Demonstrated background in statistical and quantitative analysis, including regression, classification, and statistical modeling.
- Develop custom data models and algorithms and apply to various internal data sets.
- Background in recommender systems preferred, including requisite knowledge of data mining and machine learning techniques such as kNN, clustering algorithms, dimensionality reduction, etc. applied to classification and prediction problems.
- Strong communication and organizational skills, with the ability to work and collaborate across both data and non-data teams.
- Self-motivated with the ability to work independently, conduct exploratory research, and solve open-ended problems.
- Exceptional candidates will have the above skills, as well enthusiasm and knowledge of cannabis and cannabis products, and excellent Super Smash Bros. capabilities.
- Have you experienced the Leafly app? We are actively seeking individuals that understand our product and have a zest for learning more. Download on iOS and Android today and subscribe to our newsletter for updates.
NOTE: Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. Leafly is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
Please, no phone calls/no recruiting agencies.
The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended.