- Stantec (Atlanta, GA)
- Data Scientist - ( 240003C6 )...visualization tools (eg, Tableau, Power BI). + Familiarity with data warehousing and ETL processes. + Experience ... they were our own, our project management business, and technical experts work with clients to strategize, plan, and...**Your Opportunity** We are seeking a talented and detail-oriented Data Scientist to join our dynamic team.… more
- Copeland (Kennesaw, GA)
- …make an impact. Join our team and start your journey today! **As a Senior Data Scientist , you will:** + Implement solutions to solve sophisticated business and ... econometrics and operations research techniques + Build customer-focused analytics with data scientist peers + Discover opportunities to improve systems,… more
- Guidehouse (Atlanta, GA)
- …libraries such as NumPy, Pandas/Polars, Streamlit, and Scikit-learn. + Strong understanding of data modeling, data warehousing, and ETL (Extract, Transform, ... Excellent critical thinking and problem-solving skills. + Ability to communicate complex data insights and recommendations effectively to both technical and non-… more
- Copeland (Kennesaw, GA)
- …similar language and collaborate using Git + Proficient in verifying raw data integrity through automation and classic extract-transform-load ( ETL ) techniques + ... team and start your journey today! **As a Senior Data Manager, you will:** + Implement solutions to solve...for feature engineering + Proven track record as a technical lead on projects or research, or as a… more
- GovCIO (Atlanta, GA)
- **Overview** GovCIO is currently hiring forLead ETL Engineer (or Data Scientist ) to join our ETL Team focused on ingesting and visualizing data from ... models that impact productivity, decision making, and provide strategic mission impact. Data Integration - Employs ETL tools and programming languages to… more
- Meta (Atlanta, GA)
- …primary responsibility involves working with data . This could include roles such as data analyst, data scientist , data engineer, or similar positions ... data integration problems, utilizing optimal Extract, Transform, Load ( ETL ) patterns, frameworks, query techniques, sourcing from structured and unstructured … more