Monsanto Scientific Software Engineer in St. Louis, Missouri
Position Overview: The Climate Corporation is developing data-driven recommendations and digital tools to help global customers improve their productivity and sustainability. To develop these digital tools, our Science organization needs the necessary data sets to build predictive models. Further, recommendations from these models must be tested to confirm value creation prior to commercialization. Typically, our models are tested in multiple conditions, maybe over multiple seasons and usually multiple times before we commercialize a product. The Science Implementation Team is responsible for many aspects of data collection, both to generate data for model building, as well as to ensure we have a successful program and process to evaluate new research models and concepts with our customers.
One team is the Automation and Tooling team which is accountable for creating the necessary IT tools and solutions to efficiently scale the ingestion and processing of research data, develop tooling to help researchers improve the efficiency of data manipulation and model development, implementing and scaling research code to execute pre-commercial global research programs, and serving as the bridge between researchers developing models and engineers who are responsible for productionizing models.
Exploratory data analysis, data cleaning & processing
Write beautiful, robust, well-documented research code
Engage with diverse research groups (Science, Engineering, Modeling, and Data Analytics) to understand their models & products and develop solutions to meet their data needs
Undertake written & verbal communication with stakeholders in various parts of the organization
Collaborate across the Implementation, Modeling and Data teamsDevelop scripts and tools that scale new science data & models to support pre commercialization Alpha & Field testing programs
Build and maintain the core data & model pipelines to enable discover & precommercial model development
Work with Data Analytics and Engineering teams to ensure proper data architectures and computational infrastructure is available to support rapid development and iteration on machine and deep learning models
BS in Biology, Agronomy, Computer Science, Data Science or 2+ years work experience in IT/Agriculture/Biotechnology
At least 3+ years of experience in gathering and processing raw data at scale (including writing scripts, calling APIs, SQL queries, etc.)
At least 3+ years of experience working with data in a technical or scientific environment
Experience with exploratory Big Data discovery through the use of technologies such as Hive,Spark, or Hadoop
Knowledge of breeding, agriculture, and/or biotechnology.
Knowledge & operational familiarity of Bayer’s R&D IT systems is a plus
Knowledge & experience with machine learning technology in R & Spark
Strong Understanding of database systems and management of large data sets.
Experience with Linux and AWS or other cloud based platforms is a plus
3+ years of scripting experience (python or R)
Experience with web services, api, and database design
What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.
We provide competitive salaries and some of the best perks in the industry, including:
Superb medical, dental, vision, life, disability benefits, and a 401k matching program
A stocked kitchen with a large assortment of snacks & drinks to get you through the day
Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development
We also hinge our cultural DNA on these five values:
Inspire one another
Innovate in all we do
Leave a mark on the world
Find the possible in the impossible
Be direct and transparent
Learn more about our team and our mission:
The Climate Corporation - The Technology Behind Making A Difference
https://youtu.be/c5TgbpE9UBI or visit https://climate.com/careers
At Monsanto, we value a diverse combination of ideas, perspectives and cultures. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, age, sex, sexual orientation, gender identity, gender expression, status as a protected veteran, or status as a qualified individual with a disability. If you need a reasonable accommodation to access the information provided on this website, please access our disability accommodations process for further assistance. U.S. Employment Law (applicable for U.S. jobs ONLY): EEO Employer Minorities/Females/Protected Veterans/Disabled. For information about equal employment opportunity rights, please refer to this information from the U.S. federal government: EEOC Poster; EEOC Supplement.