at Daniel J Edelman Inc in Chicago, Illinois, United States
Job Description
Summary of Duties: Assist with day-to-day project execution, including client deliverables, status updates, and project management. Efficiently manage data from disparate sources, distilling into datasets prepared for data science. Execute statistical models to support client projects. Prepare client facing material (example: PowerPoint slides and charts), distilling analytical insights effectively into stories for clients. Develop standardized code and processes that can be easily used by the larger team. Support senior staff in the development of client proposals.
Qualifications: Position requires a Bachelor’s degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst, Marketing Analyst, Data Engineer, or related occupation in which the required experience was gained. Applicant must also have demonstrated experience in: Building of ETL pipelines integrating Paid, Owned, Earned, Social, and Survey data (Python, Pandas, Azure Data Factory); XGBoost, Random Forest, and ensemble algorithms for predictive modeling; Cluster analysis (K-means, hierarchical) for audience or brand segmentation; Python, R, SQL, Tableau and Power BI; Cloud environments including: AWS, Azure, and GCP Data Lake architecture; GitHub and GitLab; and Jira, Asana, and Confluence.
Position offered is a hybrid in-office/remote position
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