Grainger is looking to leverage machine learning and statistical analysis to uncover insights that drive business value and fuel bottom-line growth within the Finance organization. The Economic Data Scientist will deliver economic and market intelligence to guide strategic decisions and improve business operations by modeling marketplace dynamics, projecting trends, and quantifying market size.
Requirements
- Proficiency in databases such as Snowflake, Teradata, or Oracle and querying languages (e.g. SQL).
- Experienced with at least one data science programming languages (e.g., Python, R) and working with structured and unstructured datasets.
- Experience with machine learning techniques such as classification, clustering, dimension reduction, regression, NLP algorithms, and time series modeling.
- Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing.
- Experience with data visualization techniques and tools.
- Experience translating work into presentations (e.g. PowerPoint) suitable for non-technical audience.
Responsibilities
- Work closely with the business to understand the problem space, identify the opportunities, and translate business problems into technical solutions using machine learning frameworks.
- Conduct exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new business insights.
- Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
- Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations.
- Create scalable, efficient, automated processes to support large scale data analyses, model development, model validation and deployment.
- Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, time series forecasting to build explanatory, predictive, prescriptive models appropriate for solving different business problems.
- Create and present the materials necessary to effectively communicate the results of analytical work and associated recommendations.
Other
- Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
- Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market.
- Demonstrated ability to collaborate with business partners and colleagues.
- Work Location Type: Hybrid
