600 Data Scientist jobs in Alpharetta,GA

High school diploma or equivalent from an accredited organization (GED)
Experience selling to corporate executives and outside sales to enterprise, healthcare, government or education clients
Read, write, speak and understand English
Quick to conduct cost analyses and provide product recommendations
Proficiency in Microsoft Excel, Word, PowerPoint and Visio
Experience with ICOMS/CSG or other billing systems
Knowledge of complex services, telecommunications infrastructure and equipment (Routers, Switches, Frame Relay, ATM, SONET, Ethernet)
Understanding of TCP/IP networking, network security, firewalls and telephony products (T1, PRI, SIP)
Familiarity with business software, hardware applications, Intranets and Salesforce
Experience negotiating Master Service Agreements and selling financial/business benefits, closing sales and presenting technical solutions
Valid and active State driver's license with a safe driving record

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Analytics Engineer

Cox Automotive

Peachtree Corners, GA 30092

~ 18 min OnsiteFlexible SchedulePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).