Looking for a job

Ashley Kissick

@ashleykissick

Decision science leader at Bayer building Preceon suitability models and a seed-rate method delivering $15M in annual savings.

United States

Message

What I'm looking for

I’m eager to apply my remote sensing, geospatial, and spatial machine learning toolkit to new landscapes and data types.

At Bayer Crop Science, I lead decision science for Preceon product supply readiness and guide a nine-person cross-functional team. We’re building landscape-scale suitability and risk models from remote sensing, soils, terrain, genetics, and production data to support field selection.

For Bayer’s global seed production fields, I developed a variable seed rate method using Planet Labs imagery, LiDAR, and soils data. I lead model-based seed density recommendations that have delivered $15M in realized annual savings, and I set the strategic vision for the in-season prescription platform.

I also build hands-on geospatial and machine learning solutions. My work includes a 1 m DEM terrain-hazard pipeline tiled as Cloud-Optimized GeoTIFFs on AWS S3, and an independent harmful algal bloom early-warning system validated against in-situ data.

Across Bayer and earlier work at CIBO Technologies and Purdue University, I’ve combined spatial ecology, geostatistics, field sampling, and data science to turn environmental and agricultural data into decisions. I process and model imagery in Python and R, and use QGIS to visualize results.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Bayer Crop Science

May 2023 - Present (3 years 6 months)

Set technical strategy and roadmaps for data science initiatives, led Agile delivery, and mentored data scientists. Drove discovery projects from hypothesis to delivery, including a variable seed rate method that delivered $15M in realized annual savings.

Remote Sensing LiDAR Spatial Modeling Machine Learning Python R QGIS AWS Agile Leadership Mentorship

Senior Data Scientist

Bayer Crop Science

Dec 2019 - Apr 2023 (3 years 4 months)

Led customer-facing portfolio management solutions for seed and trait products, supporting product placement and waste reduction. Mentored senior data scientists and interns, and built reusable functionality for company data assets.

Machine Learning Geospatial analysis R Shiny Data Engineering Project Management Mentorship

Senior Data Scientist

SyllogisTeks

Mar 2019 - Nov 2019 (8 months)

Lead data scientist for customer analytics insights, coordinating delivery across data scientists, software engineers, and data engineers. Standardized data inputs and model outputs, and proposed new modeling concepts to leadership.

Data Science Machine Learning Leadership Data Engineering Code Review

Environmental Scientist

CIBO Technologies

May 2018 - Feb 2019 (9 months)

Developed machine learning and geospatial methods for continental-scale environmental modeling, automating spatial data collection and analysis. Automated field-trial analysis and created the company's database for field-collaborator data.

Machine Learning Geospatial analysis Python R Data Management

Postdoctoral Research Assistant

Purdue University

Oct 2016 - Apr 2018 (1 year 6 months)

Built random forest and spatial econometric regression models to map corn yield from yield-monitor data, terrain, and soil properties. Designed variography-based soil sampling protocols and analyzed data from 3,000+ fields.

Random Forest Econometrics R Geostatistics Soil Science

Research Associate

Purdue University

Jan 2012 - Oct 2016 (4 years 9 months)

Created novel multivariate workflows to identify ecological processes structuring insect communities in Indiana hardwood forests. Developed transferable mapping workflows highlighting priority areas for sustainability.

Multivariate Statistical Methods Ecology Mapping R