Manager, Predictive Intelligence

Responsibilities

• Aid in the execution of daily projects, including client deliverables, status updates, and project management.
• Efficiently manage data from various sources, consolidating into datasets suitable for data science.
• Execute statistical models to support client projects.
• Prepare client-facing materials (such as PowerPoint slides and charts), effectively communicating analytical insights.
• Develop standardized code and processes that can be utilized by the broader team.
• Support senior staff in the creation of client proposals.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or a related field.
• Five (5) years of experience in roles such as Data Science Analyst, Marketing Analyst, Data Engineer, or a similar occupation.
• Demonstrated experience with building ETL pipelines integrating Paid, Owned, Earned, Social, and Survey data using Python, Pandas, and Azure Data Factory.
• Experience with XGBoost, Random Forest, and ensemble algorithms for predictive modeling.
• Knowledge of cluster analysis techniques like K-means and hierarchical clustering for audience or brand segmentation.
• Proficiency in Python, R, SQL, Tableau, and Power BI.
• Experience with cloud environments including AWS, Azure, and GCP.
• Understanding of data lake architecture and familiarity with GitHub, GitLab, Jira, Asana, and Confluence.

Qualifications

Basic Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field.
• Five (5) years of experience in the job offered, as a Data Science Analyst, Marketing Analyst, Data Engineer, or related occupation.
• Must have demonstrated experience with the following:
• Building 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.
• GitLab, GitHub, Jira, Asana, and Confluence.

Skills

Skills:

• Strong proficiency in Python, R, SQL, and Tableau.
• Experience with data engineering tools and cloud platforms.
• Ability to manage and analyze large datasets.
• Excellent communication and presentation skills.
• Experience with predictive modeling and machine learning.
• Collaborative and team-oriented mindset.

Pay

$139,818.00 - $144,818.00 per year

Schedule

Ability to follow Edelman’s hybrid in-office/remote policy in their Chicago, IL office (111 N Canal St, Chicago, IL 60606) is required.

Benefits

Includes medical and dental insurance, vision, 401K, life insurance, disability insurance, paid time off, travel assistance, and wellness programming. DJEH also offers a wide range of benefits and is committed to diversity, equity, and inclusion.