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YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARKWant to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains. With that footprint comes massive amounts of data, both structured and unstructured, that can drive decision-making. You will be developing forecasting projects with advanced machine learning techniques that also use external inputs with continuously flowing data. By employing more sophisticated methods than standard time series analysis, your solutions will deliver significant value to Cargill’s business.As a Data Science Intern, from day one, you will be an integral part of the team. You will tackle real challenges, cultivate your curiosity, be visible, and build relationships with colleagues and clients who represent diverse work, culture, and styles of communication. Your initiative and insight will be acknowledged and valued, and you’ll be able to celebrate your own accomplishments as well as those of your team. We look for people who want to grow, support, think and produce.Your project will connect you to key decision-makers, and you will interact with a multidisciplinary team. You’ll bring your strong technical skills to the table and enrich our data science practice. You will explore, connect, and mine data for its predictive value, and you’ll use advanced machine learning techniques to design and build predictive models.This position is part of the Engineering and Data Sciences team. Specifically, you will be part of the growing Forecasting capability where you will be working to solve a variety of technical challenges, develop prototypes and build out a forecasting platform.20% - Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience.10% - Design strategies and propose algorithms to analyze and leverage data from a variety of sources.70% - Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables.Job Location: University of Illinois, Urbana-Champaign in Champaign, ILRequired Qualifications: Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date after December 2020. Must be able to complete, at a minimum, a semester long internship in Fall 2020 (Aug – December) or Spring 2021 (Jan – May). Proficiency in at least one programming language with libraries for or applications in scientific computing (such as: Python, R), and experience with some scientific computing libraries in that language (such as: pandas, scikit-learn, dplyr, caret). Hands-on experience interrogating and analyzing large, multivariate data. Experience contributing to projects centered around supervised machine learning or statistical inference, both in development and testing. Knowledge of multiple techniques used in variable selection, dimension reduction, and feature engineering (such as: binning, PCA, normalization, power transforms, embedding, SVD, variable importance measures). Knowledge of several supervised learning algorithms (such as: linear regression, GLMs, decision trees, neural networks, ensemble methods, mixed-effects models). Knowledge of several time series models and machine learning techniques for forecasting (such as: ARIMA, ARCH/GARCH, kernel smoothing, ETS, TBATS). Experience testing for seasonality, lag structure, heteroskedasticity, and multicollinearity in multivariate time-series data. Interest in learning a model development and deployment life cycle in a production setting. An eagerness to lean into complex and ambiguous business needs and learn to reduce ambiguity to decide the appropriate tools and approaches to try. Curious, self-motivated, driven, and have a passion for problem solving. Collaborative team player. Excellent written and verbal communication skills. Strong presentation skills, with the ability to discuss the implications of highly technical solutions to a non-technical audience in an easy to understand way.Preferred Qualifications: Experience as a developer on projects centered around supervised machine learning or statistical inference, both in development and testing, in a production setting. Right to work in the United States without visa sponsorship. Experience working in a cloud environment (such as: Amazon Web Services, Sagemaker), and knowledge of cloud infrastructure. Knowledge of deep learning methods for time series forecasting such as LSTM. Experience with deep learning libraries for scientific computing (such as: keras, tensorflow, pytorch, mxnet). Experience with consumer, marketing, or sales data. Ability to use independent judgement and discretion.Equal Opportunity Employer, including Disability/Vet.At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.US Employment Resources: Equal Opportunity Employer, including Disability/Vet.
Vacancy expired!