Data Scientist (Possible Locations: Ames (ISURP), Stillwater, Tulsa, Oklahoma City, and Alpharetta, Georgia)

Data Scientist (Possible Locations: Ames (ISURP), Stillwater, Tulsa, Oklahoma City, and Alpharetta, Georgia)

Spatiotemporal Data Scientist – Proagrica – Stillwater

Data from precision agriculture is spatial, growing rapidly, and coming from diverse sources. Proagrica’s challenge is to connect this data, clean it, and make it queryable, freeing up the creativity of domain experts to convert data into insights. We are looking for a data scientist with experience with spatial data to join a new team tasked with this challenge. This represents an exciting opportunity to join Proagrica and make an immediate impact on a new initiative.

Furthermore, Proagrica is part of Reed Business Information, a much bigger data & analytics organization with many opportunities to grow your career. The data science team will consist of data analysts/statisticians and data engineers. The team may also include, as needed, business analysts, architects, and database administrators and programmers. The team will use a hybrid approach, being responsible for a product and collaborating closely with other product teams on data issues.

The Spatiotemporal Data Scientist role is based in Oklahoma and will report to the Lead Data Scientist.


Participate in the design and implementation of an appropriate spatial query tool.

Become deeply familiar with spatial data layers collected in precision agriculture. This will involve interviewing internal stakeholders as well as third party data collectors, reading research articles, and traditional data exploration using code.

Increase the completeness and accuracy of data both through post-collection cleaning and by working with other product teams to improve collection.

Elicit use cases for the data and facilitate use of the tool by internal teams.

Educate internal stakeholders about spatial data layers and appropriate uses, ensuring that data is presented to customers is reliable.

Participate in other product teams as a data science resource and communicate their priorities back to the data science team.


Habit of thinking through processes thoroughly, considering all implications, and asking questions when needed

Strong applied statistics skills including tests, distributions, maximum likelihood estimators, etc.

Strong math skills including linear algebra and multivariable calculus.

Extensive experience programming with R, or another statistics language (e.g. Julia)

Experience reading, evaluating, and presenting rigorous peer-reviewed research

Ability to listen and ask follow-up questions that elicit detailed and actionable user stories

Ability to communicate methods and conclusions to both technical and non-technical audiences

Ability to think flexibly (on your feet) and creatively about problems and possible solutions using data


Scientific and practical understanding of data layers in agriculture, including how data is generated by users, sensors, and labs

Experience with georeferenced data and geostatistics, including trend surface analysis and interpolation methods

Experience with data visualization tools (e.g. Tableau, D3, ggplot) ? Experience programming with F# or C#

Experience with query languages and databases (e.g. SQL)

Experience with machine vision, particularly of satellite data

Experience with OCR

Experience with text mining

Experience with machine learning (e.g. Bayesian methods, decision trees)

About Reed Business Information:

Reed Business Information (RBI) provides information, analytics and data to business professionals worldwide. Our strong global products and services hold market-leading positions across a wide range of industry sectors including banking, petrochemicals and aviation where we help customers make key strategic decisions every day.  RBI is part of RELX Group plc, a world-leading provider of information solutions for professional customers across industries.

RBI General Benefits Package

– 401k match of 5%
– 18 Days Holiday
– Paid Charity Days – 2 days per year
– Benefits start upon hire date
– Excellent OTE & Competitive Salaries

RBI is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact . EEO is the LawEEO is the Law Supplement


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Posted on

February 12, 2019