Data Scientist

Curaleaf

Curaleaf is transforming the cannabis sector with its commitment to quality and innovation. As a major player in the global cannabis market, their brands provide top-tier products for medical and adult-use purposes. The Data Scientist role is crucial for guiding business strategy and operational improvements using cutting-edge forecasting techniques.

In this role you can expect to have the responsibilities:

• Develop and implement advanced time series forecasting models for demand, sales, and inventory.
• Analyze complex business issues to derive actionable insights.
• Collaborate with cross-functional teams to provide data-driven recommendations.
• Utilize data visualization to present results to non-technical stakeholders.
• Stay updated on forecasting trends in the cannabis industry.

This role comes with the following benefits:

• Career growth opportunities
• Competitive pay and benefits including health, dental, and vision
• Generous PTO and parental leave
• 401(K) retirement plan
• Life/AD&D insurance, short & long-term disability
• Community involvement initiatives
• Employee referral bonuses and product discounts

This role requires you to have:

• 3-5 years of experience in data science focusing on time series forecasting.
• Proficiency in Python and associated libraries for forecasting models.
• Strong SQL and machine learning framework knowledge.
• Hands-on experience with tools such as Prophet, ARIMA, and LSTM.
• Familiarity with big data tools and cloud platforms like Azure and Snowflake.

You would benefit from having:

• Experience in the cannabis or startup industries.

Curaleaf is recognized as an equal opportunity employer, actively promoting diversity and inclusion. They support individuals with disabilities by providing necessary accommodations. The company values corporate social responsibility and encourages those impacted by the war on drugs to apply.