Ledelsea · 5 hours ago
Data Scientist With ArcGIS
Twin Cities Area
Contract
Onsite
Mid LevelLedelsea is seeking an Agronomic Data Analyst / Science Engineer to support the acceleration of business actionable insights derived from R&D experimental results, manufacturing data, and field trials. The role involves analyzing complex datasets, collaborating across teams, and transforming data into insights that improve product performance and operational efficiency.
ConsultingInformation TechnologyQuality AssuranceSoftwareWeb Design
Responsibilities
Analyze complex datasets from product development, field testing, manufacturing systems, and commercial channels to enable data-driven decision-making
Collaborate with R&D analysts and agronomists to aggregate results from AnswerPlots, On-Farm trials, and controlled experiments into statistically sound and geospatially relevant business insights
Transform R&D and operational data into actionable insights to support manufacturing optimization, product performance, and sales/marketing strategy
Interpret and communicate results to stakeholders to ensure technologies proper movement through approved processes
Build, analyze, and optimize datasets using Python/R and SQL
Participate in the creation and maintenance of long-term data solutions for data mining, storage, and high-throughput analytics
Collaborate on implementing automated data pipelines and reproducible data workflows with version control and documentation
Assist in the creation of business-focused semantic data layers that accelerate the translation of experimental results into insights
Work with FP&A personnel to identify areas where advanced analytics can increase efficiencies and uncover new insights
Collaborate with field and controlled environment researchers to optimize data collection protocols and ensure data quality for product evaluation
Support innovation initiatives focused on agricultural solutions, including biological product characterization both in-field and in controlled environments
Qualification
Required
Education: Bachelor's degree in a quantitative or technical field (e.g., Data Science, Computer Science, Engineering, Statistics, Mathematics, Agricultural Engineering, or related field)
Technical Proficiency: Proficiency in Python and/or R for data analysis and modeling
Strong SQL and relational skills for querying and managing structured datasets
Experience using business analytics tools (e.g., Power BI) and applying quantitative methods
Mid-level experience in data science, analytics, or data engineering
Ability to translate technical findings into insights relevant to agricultural manufacturing and commercial teams
Preferred
Geospatial Skills: Experience with geospatial analytics, spatial statistics, and tools such as ArcGIS (Pro, Enterprise, Online) or other GIS applications for field/spatial data
Domain Knowledge: Background in agronomy, plant biology, or ecology, or familiarity with agricultural datasets and sensor/field-generated data
Platform Experience: Experience working with enterprise data platforms such as Databricks and Snowflake
Advanced Analytics: Experience with image-based AI interpretation, remote sensing, or machine learning algorithms to extract plant traits
Company
Ledelsea
Ledelsea is IT consulting firm.
Founded in 2013
201-500 employees
H1B Sponsorship
Ledelsea has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Growth StageLeadership Team
Uzair Mukadam
Chief Executive Officer
Ayesha Mukadam-ENFJ
CMO
Company data provided by crunchbase