Data Scientist, Analytics (Mid/Senior)

about 3 years ago
Full time role
New York, NY, US... more
New York, NY, US... more

Job Description

What You'll Do:

  • Develop SQL to transform the raw data produced by the farm into a comprehensive data warehouse as the authoritative source for all facts about the business.
  • Build automated reporting which effectively draws attention to important information and helps decision makers understand our priorities.
  • Partner with other functional areas to develop metrics, understand analytical needs, and interpret results about our crops and our business.
  • Collaborate on the design and creation of data tools and decision frameworks used by our farm operators, agricultural scientists, and sales team to drive positive change.
  • Build and use statistical and algorithmic models to proactively surface and predict relationships in data.
  • Contribute to Bowery’s data-driven culture, and influence best practices.

What You'll Have:

  • You are fluent in SQL, have opinions about a well-designed database, and know how to deal with data too big to analyze in-memory.
  • You are comfortable working in a highly technical team: contributing through version control, peer-reviewing code, and managing processes in production.
  • You are comfortable being the technical resource for non-technical teams: translating business needs to technical requirements, communicating quantitative observations to make the teams around us more effective and well-informed.
  • You’ve got a natural attention to detail and drive for order that yields accuracy and reliability in the data you work with.
  • You can own the critical trust-based relationship with our internal stakeholders.
  • You have experience in and a passion for visualizing data to tell clear stories and support decision making.
  • You have some familiarity with data science languages like R or python, and enjoy learning more.
  • You’re confident in taking ownership of projects from start to finish and enjoy the process of turning nebulous ideas into reality.
  • You believe that teams succeed and fail together and take responsibility for ensuring the success and safety of your teammates.

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