Data Scientist

Title:Data Scientist
Location Options:Scottsdale, AZ | Stamford, CT | Wakefield, MA | Las Vegas, NV
Job Type:Full Time | Exempt

Who You Are:

As a Data Scientist at Curaleaf, you’ll play a critical role in shaping the future of the cannabis industry through data-driven insights. We’re looking for a results-oriented professional with expertise in time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies.

What You’ll Do:

Develop and implement time series forecasting models to predict demand, sales, and inventory using advanced techniques like Prophet and LSTM. Analyze complex business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross-functional teams to provide data-driven recommendations. Use data visualization to communicate results to non-technical stakeholders and stay current on forecasting trends, particularly within the cannabis industry.

What You’ll Bring:

• You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling
• You have a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
• You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks
• You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and LSTM, enabling you to uncover trends and drive predictive insights
• You are familiar with big data tools and cloud platforms, including Azure, Snowflake, Hex, and dbt
• You have strong analytical, problem-solving, and communication skills, allowing you to thrive in fast-paced, collaborative environments while delivering impactful data-driven solutions

Even Better If:

• You bring valuable experience in cannabis or startup environments, adapting quickly to dynamic and fast-growing industries

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