Gevo, Inc. (NASDAQ: GEVO) has a mission to transform renewable energy into low carbon transportation fuels. This next generation of renewable premium gasoline, jet fuel and diesel fuel with the potential to achieve zero carbon emissions, addressing the market need of reducing greenhouse gas emissions with sustainable alternatives. Gevo uses low-carbon renewable resource-based carbohydrates as raw materials and is in an advanced state of developing renewable electricity and renewable natural gas for use in production processes, resulting in low-carbon fuels with substantially reduced carbon intensity (the level of greenhouse gas emissions compared to standard petroleum fossil-based fuels across their lifecycle). Gevo’s products perform as well or better than traditional fossil-based fuels in infrastructure and engines, but with substantially reduced greenhouse gas emissions. In addition to addressing the problems of fuels, Gevo’s technology also enables certain plastics, such as polyester, to be made with more sustainable ingredients. Gevo’s ability to penetrate the growing low-carbon fuels market depends on the price of oil and the value of abating carbon emissions that would otherwise increase greenhouse gas emissions. Gevo believes that its proven, patented, technology enabling the use of a variety of low-carbon sustainable feedstocks to produce price-competitive low carbon products such as gasoline components, jet fuel, and diesel fuel yields the potential to generate project and corporate returns that justify the build-out of a multi-billion-dollar business.

We are looking for a team member with excellent programming, data engineering, and analytical skills for the position of Senior Data Analyst, Data Science. To be successful in this role you will:

• Design scalable data science programs to help capture, organize, and analyze data
• Write clean, testable, and modularized code
• Build automatic data science workflows and analysis of data science life cycle (including model deployment and monitoring)
• Aggregate, clean, and study data while identifying trends and insights to solve significant near- and long-term business problems
• Clean data and automate basic data characterization processes and anomaly detection algorithms
• Identify opportunities to enhance the flow and analysis of multiple different data sets into and across the company
• Transparently communicate priorities, obstacles, and progress on a regular basis to the Product Analytics Lead
• Comfortably lead technical data science operations while following agile principles

Who You Are

• Degree in a quantitative field such as data science, data analytics, or statistics; with applied experience in technical data science implementation (programming)
• Comfortable in data validation and quality assurance methods, including validating and verifying GIS-type data
• Logic-driven critical thinker hungry for precision and increasing understanding and confidence in data
• Proficient in common data science programming languages such as Python or R and proficient with data management systems
• Passionate about environmental sustainability with domain knowledge in agricultural practices and industrial processes
• Experienced in building trusted business relationships
• Strong written and verbal communicator

Education

• Bachelor's (Required) in a quantitative field such as data science, computer science, physics, engineering, applied mathematics, or statistics.
• MS Analytics or similar degree (Preferred)

Experience

• Data Engineering Knowledge (SQL or similar): 5+ years (Required)
• Data analytics/science: 5+ years (Required)
• Programming Knowledge (R or Python): 5+ years (Required)
• Data science program design: 3+ years (Preferred)

Physical Requirements

• Light work that includes moving objects up to 20 pounds
• Remaining in a stationary position, often standing or sitting for prolonged periods
• Communicating with others to exchange information