Lead Data Scientist, Predictive Intelligence (Hybrid)

Smithfieldgroup

Chicago (IL)

Hybrid

USD 139,818 - 144,818

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision
401K
Life insurance
Disability insurance
Paid time off
Travel assistance
Wellness programing

Job summary

Edelman Intelligence in Chicago, IL is seeking a Data Scientist to advance predictive analytics capabilities and build out ML/AI workflows. You will contribute to client deliverables and mentor junior team members.

Responsibilities include data integration from diverse sources, model execution, and producing client-ready materials. You will also develop reusable code and support senior staff in proposals and analytics offerings.

Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field.
  • Five years of relevant experience in data science, analytics, or data engineering.
  • Experience building ETL pipelines and predictive models for client work.

Responsibilities

  • Assist with day-to-day project execution, including client deliverables and status updates.
  • Efficiently manage data from disparate sources, distilling into analysis-ready datasets.
  • Execute statistical models to support client projects and insights.
  • Prepare client-facing material (PowerPoint slides and charts) that tell clear data stories.
  • Develop standardized code and processes for use by the broader team.
  • Support senior staff in developing client proposals and statistical approaches.

Skills

Python
Pandas
Azure Data Factory
XGBoost
Random Forest
Ensemble methods
K-means
Hierarchical clustering
R
SQL
Tableau
Power BI
AWS
Azure
GCP
Data Lake
GitHub
GitLab
Jira
Asana
Confluence

Education

Bachelor’s degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field

Tools

Tableau
Power BI
Python
R
SQL

Job description

Edelman Intelligence in Chicago, IL is seeking a Data Scientist to advance predictive analytics capabilities and build out ML/AI workflows. You will contribute to client deliverables and mentor junior team members.

Responsibilities include data integration from diverse sources, model execution, and producing client-ready materials. You will also develop reusable code and support senior staff in proposals and analytics offerings.

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