at Wolfram Research, Inc. in Champaign, Illinois, United States
Job Description
Wolfram Research, Inc has an opening in Champaign, IL for a Wolfram Technology Engineer (Data Science). Position allows for 100% telecommuting from the employee’s home anywhere in the U.S. Apply existing, and develop new, techniques to transform Wolfram customers’ raw data into meaningful information using Wolfram Technologies. Use mathematical techniques and models, and statistics to analyze large amounts of data, specifically for plant and agricultural applications. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from customers’ large structured and unstructured datasets and visualize, interpret, and report data findings. Interact with Wolfram clients by phone and email, communicate customer feedback to other departments within the company, and champion improvements to already exceptional products. Train clients in the Data Science capabilities of Wolfram products and develop creative solutions to address the individual client’s data analytics needs with the aid of Wolfram products. Analyze, manipulate, or process large sets of data using Wolfram technologies. Apply feature selection algorithms to models predicting outcomes of interest. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods. Clean and manipulate raw data using Wolfram Language. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Deliver oral or written presentations of the results of mathematical modeling and data analysis to clients and management. Identify relationships and trends or any factors that could affect the results of research. Diagnose and resolve customers’ data analytics and coding issues. Identify solutions to clients’ problems using the results of data analysis. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. Write new functions or applications in Wolfram Language to conduct analyses. Perform revision, repair, or expansion of existing data analytics code and workflows to increase operating efficiency or adapt to new requirements. Expand expertise in existing and forthcoming Wolfram technologies relevant for Data Science. Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies. Employer requires a minimum of a Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Math, Statistics, Engineering, Crop Sciences or related STEM field. Education or experience must include the following skills: 1) data processing topics, including multivariate calculus, conditional probability, and matrix algebra; 2) designing and analyzing complex experiments in plant and agricultural applications to enhance domain-specific insights in crop-related (e.g., maize) data science projects, with skills including genome data processing and QTL mapping analysis; 3) Utilizing RCBD, Graeco-Latin square, balanced incomplete block design, factorial design, and split-plot design for data collection to prepare comprehensive plant data analysis; 4) using stratified, cluster and systematic sampling methods to collect spatial and plant-related phenotype information and analyze it for broader impact on biological systems; 5) analyzing covariance and repeated measures on collected data, including builing, integrating, and visualizing spatial datasets (grids, polygons, and rasters) using R, Wolfram Language, or QGIS; 6) utilizing statistical and machine learning algorithms, including regression analysis, ANOVA, MANOVA, PCA, Canonical Correlation Analysis, decision trees, and neural networks to create accurate models for complex datasets in the plant domain (e.g., maize) and evaluate model fitness; and 7) verifying prediction or classification success through methods including contingency tables, subsampling, bootstrapping, and cross-validation, using data visualization tools (Mathematica and R (ggplot)) to create graphs and charts. Salary: $63,232.00 per year. Benefits: 401(k), comprehensive insurance, generous vacation, etc.
Send resume to: [resumes@wolfram.com] with Job Code WR-150 in the subject heading. No Calls.
