NABIS - Director of Data
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Requirements
• 5+ years of progressive experience in Data Science, Data Analysis, or a related quantitative field. • 5+ years • Expert proficiency in SQL and a programming language commonly used in data science (e.g., Python or R). • Expert proficiency • Demonstrated experience designing and implementing statistical models, machine learning models, and large-scale data analyses. • Familiarity with modern data warehousing and ETL concepts (e.g., Snowflake, BigQuery, DBT). • Strong experience with visualization tools (e.g., Tableau, Power BI, Looker). • 2+ years of formal or informal experience leading projects, mentoring junior analysts/scientists, or functioning as a technical lead. • 2+ years • Exceptional communication and presentation skills, with the ability to articulate complex analytical findings to both highly technical and executive audiences. • Proven ability to take ownership of an ambiguous problem space, define a clear strategy, and manage the execution of that strategy independently.
Responsibilities
• Individual Contributor & Technical Execution • Advanced Analytics: Directly execute complex end-to-end data science projects, including statistical modeling, machine learning, and predictive analysis. • Advanced Analytics: • Data Infrastructure: Partner with Engineering/IT to define requirements for and, where necessary, personally build and maintain robust data pipelines, data marts, and analytics tools to support the team's work. • Data Infrastructure: • Quality Assurance: Establish and enforce technical best practices, code review standards, and documentation guidelines to ensure the reliability and reproducibility of all data products. • Quality Assurance: • Leadership & Team Development • Team Leadership: Lead and mentor our existing Data Analyst, providing regular coaching, setting performance goals, and facilitating career development. • Team Leadership: • Hiring & Growth: Play a primary role in recruiting, interviewing, and onboarding new talent as the data team scales. • Hiring & Growth: • Knowledge Transfer: Promote a culture of data literacy and continuous learning within the Data Team and across the organization. • Knowledge Transfer: • Strategy & Project Management • Strategic Vision: Define and articulate a compelling data strategy and roadmap for the department over the next 1-3 years, aligning data initiatives directly with company OKRs and business needs. • Strategic Vision: • Project Management: Act as the technical Product Owner for the Data Team's backlog. Manage the end-to-end lifecycle of all data projects, ensuring timely delivery, managing scope, and communicating progress to stakeholders. • Project Management: • Stakeholder Alignment: Collaborate with executive leadership and cross-functional teams (Product, Marketing, Operations) to identify high-impact analytical opportunities and translate ambiguous business questions into testable data hypotheses and clear deliverables. • Stakeholder Alignment: • Data Governance: Establish foundational principles for data governance, integrity, privacy, and security within the department. • Data Governance:
Benefits
• Compensation starting at $150k along with medical, dental, vision and 401k • Be part of the fastest-growing cannabis startup in the U.S. • Lead the foundational technology layer that powers a multi-state business • Fully remote role with flexibility and autonomy to design and implement infrastructure strategy
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