Campus Pride Jobs

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! Summary: The Data Scientist will support our research, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: * Select and employ advanced statistical learning models to obtain actionable insights. * Cross-validate models to ensure their generalizability. * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. * Suggest ways in which insights obtained might be used to inform business strategies. * Actively engage with key internal and external technology partners * Collate, clean, and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. * Visualize data and create reports. * Align data projects with organizational goals. * Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. * Collaborate with data engineers to put machine learning models in production following best practices in machine learning operations (MLOps) * Coordinate with different functional teams to implement models and monitor outcomes Technical Knowledge Requirements: * 5+ years of experience manipulating data sets and building and operationalizing functional statistical models * Proficiency in Python or R, where the former is preferred. * Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. * In-depth knowledge of SQL. * Experience using Apache Spark to process large data sets. * Experience querying databases and using various languages: R, Python, SQL. * Experience using Amazon Web Services: Athena, Glue, EMR, RDS, S3, SageMaker, etc. * Experience creating and operationalizing advanced machine learning algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. * Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc. Non-Technical Skills: * Complex problem solving & analysis * Excellent communication skills * A business mindset * Strong organization and leadership skills * Ability to relay insights in layman's terms, such that these can be used to inform business decisions. * Ability to formulate an in depth technical strategy meeting the needs of supported business functions * Ability to meet with the business and technical teams to provide understandable technical directi Apply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjQyMTQwLjEwNTA4QHNjb3R0c21pcmFjbGVncm9jb21wLmFwbGl0cmFrLmNvbQ