Weather Modeling and Data Scientist Job

Weather Modeling and Data Scientist-1801082
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.
At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world's leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.
We provide a challenging and rewarding work environment and are always working to form the best team—especially from within, through an emphasis on lifelong learning and development.
We are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine as one of America's Best Employers in 2016. Come join us on our journey to create solutions for a sustainable future!
Where the Chemistry Happensâ€
We are currently seeking a Weather Modeling and Data Scientist to join our scientific weather modeling, research and development (R&D) team within the Agricultural Solutions (AP) business. The position is located near State College, PA.
ZedX Inc., now part of BASF Group, is a globally-recognized provider of weather, plant, pest, and management models in support of production decisions and food security at all spatial and temporal scales important to agriculture.
Weather Modeling and Data Scientist (1801082)
Formula for Success: You Will†â€
The Weather Modeling and Data Scientist is responsible for identifying, evaluating, and supporting the implementation of short and long-term weather forecasting models. They continuously evaluate the performance of both internal and external weather models to meet end consumer needs. They also provide ad-hoc analytical services to BASF sales teams and agronomists to evaluate application conditions and product performance that are influenced by weather.
- The Weather Modeling and Data Scientist serves as an expert on the use of weather data and models in agricultural applications.
- As an Agricultural Meteorologist, you will be responsible for setting up and leading analytic studies and/or the development of weather-based agronomic models from planning to execution.
Create Your Own Chemistry: What We Offer Youâ€
Adding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you—the whole you—in all stages of your life and career. With you@BASF, you create your own chemistry.
The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you'll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.
For further information on Agricultural Products with BASF, please select:
BASF: Create Chemistry with the Agricultural Products Division
Qualifications - BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent
Ingredients for Success: What We Look For in Youâ€
- Advanced degree (MS or PhD) related to Atmospheric Science, Agriculture, Math, Statistics, or other related advanced technical degree.
- 5+ years of experience evaluating and developing weather data and models
- 5+ years of experience utilizing weather based models to support decision making
- Expert understanding of theoretical and practical meteorology
- Knowledge of Numerical Weather Prediction Models, including Meso scale models
- Knowledge of statistical analysis of data and gridded atmospheric data sets
- Knowledge of at least one programing language appropriate to the needs of the weather department, e.g., C, C++, Python, Fortran, R, Peril, or BASH
- Knowledge of R, SAS, or MATLAB for statistical analysis
- In-depth understanding of geospatial data and Geographic Information Systems (GIS) technologies
- Experience with Big Data, Machine Learning, Artificial Intelligence, and Neural Networks
Primary Location: US-PA-Bellefonte
Function: REDE - Research & Development
Job Type: Standard
Shift: Day Job
Organization: N-APN-Crop Protection North America

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