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Job Location: Cincinnati, OH
About The Company
The Future of Fresh is Here!
Food isn’t what it used to be. We made it better, and we did it by building a different kind of farm. A farm that doesn’t need sun, soil or favorable weather to do its thing. A farm where pesticides have no place—because everything’s indoors, monitored and controlled, 24/7. We built a farm where robots do the heavy lifting, so the humans can focus on growing the freshest, most nutritious food possible. A farm that can produce over 300 times more food than an ordinary farm. With 100% renewable energy. And 97% less water. Pretty unbelievable, right? Well, believe it. This farm is real. We call it 80 Acres Farms. Fresher food awaits you.
Powering 80 Acres Farms is the Infinite Acres technology platform, our closed loop, integrated, end-to end system with best-in-class hardware, software, and controls. The research and data teams at Infinite Acres give our farms the information and technology that make our plants grow better.
By combining our world-class technology with super-efficient vertical farming techniques, we produce a lot more in a much smaller space.
If you’re the kind of person who wants to make a difference and is fast on your feet, join a team that is shaking things up in the local food chain.
Position Overview
We are looking for a Data Scientist with strong computer science skills who can create robust, scalable projects. This position requires communicating with non-technical stakeholders to model problems, propose and implement solutions. The position’s level will be commensurate with skills and experience.
Key Responsibilities & Duties
- Communication
- Comfortability speaking in “plain English” with businesspeople about problems
- Able to write clear high-level documentation of projects
- Project Management
- Can manage a project independently
- Project scoping/requirements definition (I.e., no coding before understanding the business case)
- Retrieving data, prototyping solutions
- Receiving and incorporating feedback from stakeholders
- Productionizing, hardening up project code
- Deployment, maintenance
- Overcome blockers and identify when they cannot be overcome, and another route is needed
- Ability to recognize whether and to what extent a problem is a “data science problem”
- Technology
- Solid competence in Python and SQL
- Specific python skills: base python, numpy, pandas, pyspark, sklearn.
- Experience with reporting/dashboarding tools such as Looker, PowerBI, etc., preferred
- Comfortable learning new technologies
- Data literacy
- Understand relational databases
- Able to create solid ETL pipelines
- Software engineering skills
- Ability to write code that is readable, extensible, modular
- Understands principles of computing time and space efficiency
- Familiarity with cloud computing (AWS or Azure preferred)
- Data science-specific skills
- Solid understanding of and willingness to do data gathering/data cleaning
- ML algorithms (e.g. regression, classification, clustering)
- Familiarity with and interest in optimization algorithms
- Solid grasp on how to translate from English to math (“modeling”)
- Bachelor’s degree in a quantitative discipline (computer science, statistics, mathematics, physics, etc.); Master’s degree preferred
- At least 2-3 years’ experience in data science and/or analytics
- Day One health, dental, and vision insurance
- Paid vacation
- 1 week paid health & wellness time
- 10 paid holidays
- 401k with 4% company contribution
- Company paid life insurance
- Short and long-term disability insurance
Qualifications
Benefits We Offer You
About our hiring practices: 80 Acres Farms values inclusion and diversity and is an equal opportunity employer that participates in E-Verify. As required by law, your employment with the Company is contingent upon you providing legal proof of your identity and authorization to work in the United States. Employment decisions are made without regard to protected characteristics. All candidates will be given the same consideration. We strongly encourage women, minorities, individuals with disabilities and veterans to apply.
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