Senior Data Scientist

California, Remote

Full Time Senior-level / Expert
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Nabis
Nabis is a state-licensed wholesale marketplace and distribution platform with the largest portfolio of cannabis brands in the world, supplying 100% of California’s dispensaries,
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About Nabis Nabis is a Series B stage licensed cannabis wholesale marketplace with the largest portfolio of cannabis brands, supplying over 100 brands to 99% of California’s dispensaries and delivery services. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation. Our team, backed by Y-Combinator and a from a celebrity roster of tech executives, including Doordash cofounder Stanley Tang, Gmail creator Paul Buchheit and Twitch cofounder Justin Kan, is scaling the cannabis supply chain with technology with the ultimate goal of becoming the largest distributor of cannabis products in the world.
About the Role
Nabis is looking for an experienced Senior Data Scientist to play an integral role in the next phase of our growth. The ideal candidate will be located in California, is comfortable working both autonomously and part of a team and is technically proficient in order to help drive data-driven decisions across the entire organization.

Responsibilities

  • Develop real-time and predictive solutions for internal stakeholders and external partners
  • Design and develop scalable data analytics solutions derived from large and complex datasets integrated across multiple platforms
  • Work collaboratively with engineering and strategy teams to make data-driven decisions across the organization
  • Communicate findings to management team, technical collaborators, and business stakeholders using appropriate mediums
  • Contribute to feature roadmap for Analytics Services and help scope key projects / timeline requirements
  • Help identify organizational pain points and create compelling data-driven solutions containing holistic metrics summarizing performance and specific actionable insights 
  • Develop processes to simplify data integrity monitoring and identify areas of opportunity across departments
  • Support research used to evaluate potential external software integration partners
  • Actively reinforce technical strategy and data integrity best practices across the organization 

Requirements

  • 3+ years of relevant work experience in data science
  • SQL and Excel fluency along with familiarity of tools for big data analytics 
  • Experience with ELT data modeling and dashboard visualizations

Preferred Experience

  • Dashboard integrations across multiple external software platforms 
  • Familiarity with applied statistics and scripting languages like Python or R
  • Interest in optimizing operational productivity and measuring automation across our software and business processes 
  • Prior work experience in supply chain or cannabis industry
  • Experience in business analytics, forecasting, or supply chain planning, emphasizing quantitative modeling and analysis
WHY YOU'LL LOVE WORKING AT NABIS 1. You'll work at the fastest growing cannabis startup in the U.S2. Unlimited PTO and 100% work-from-home policy3. Medical/Dental/Vision: 75% of employee premium paid by Nabis.4. Competitive salary, 401(k) plan, and equity compensation structure5. Cannabis industry discounts at retail shops across California Nabis is an Equal Opportunity Employer Nabis is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Nabis are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
Job region(s): North America
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