Edelman

Data Scientist

Chicago, IL, US$139,818-$144,818Posted 1 month ago

Job Description

We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging. Consistent with this approach, we hire the best qualified candidates for all positions.

Edelman Intelligence is seeking a Data Scientist. The person in this role will work to help drive our predictive analytics business by building out the Big Data / machine learning / AI capabilities of the Predictive Intelligence capabilities. This person will contribute significantly towards client deliverables, help develop new analytical approaches and offerings, and mentor more junior team members.

Responsibilities

  • 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.

Basic Qualifications

* 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.

Applicants must have demonstrated experience with the following

* 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. *

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