Data Engineer and Scientist – Wisconsin

Agency
Wisconsin DNR
Location
Madison, WI
Job Category
Full time Positions
Salary
$27.00 - $29.00 per hour
Start Date
09/29/2019
Last Date to Apply
09/09/2019
Website
https://dnr.wi.gov/topic/research/projects/snapshot/
Description
Snapshot Wisconsin is a volunteer based project for wildlife monitoring. We are hiring a data engineer and scientist to provide data assurance and quality, improved database operation, analysis of wildlife photo data, and use and display of final data.. The person in this position is expected to have skills in statistics, data wrangling, data visualization, database management, computer programming, and machine learning. This person will work with a small team of web-app developers and the larger Snapshot Wisconsin team towards the project goals of providing products needed for wildlife decision support of deer, elk, turkeys and other Wisconsin wildlife. Please see the Job Announcements for more details: https://dnr.wi.gov/x87201/employment/lte/q207lted.asp?v_request_id_seq_no=13402 https://dnr.wi.gov/x87201/employment/lte/q207lted.asp?v_request_id_seq_no=13401 Note: Each position is half time (20 hours/week). Preference is to hire one individual to work full time (40 hours/week). Interested and qualified candidates are encouraged to apply for both positions. Start date is flexible.
Qualifications
Required Qualifications: - Knowledge of Oracle Database Systems and tools - Knowledge of Python, TensorFlow and machine learning - Knowledge of web applications and agile methodology - Skilled in process analysis, improvement, and documentation - Knowledge of R and R Shiny and standard data science packages, like tidyverse - Knowledge of SQL and GIS - Education, training or professional experience in computer science, data science, data management or another related field Preferred Qualifications: - Education or training in natural resources - Professional experience with R and RShiny - Professional experience with SQL and GIS - Direct work experience with the design and build of relational databases, data warehousing, decision support, and business intelligence
Contact Person
Christine Anhalt-Depies
Contact eMail
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