AI Data Scientist Expert

Charles Schwab & Co., Inc.
Austin, TX, United States
15 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis BigQuery Cloud Engineering Extract Transform Load (ETL) Data Transformation Data Presentation Dataspaces Python (Programming Language) Power BI Data Streaming Tableau (Software)
+8 more
Google Cloud Sql Optimization Google Data Studio Real Time Data Tools for Reporting Looker Analytics Data Pipelines Alteryx

Job description

The project involves transforming raw internal data into trusted datasets and actionable insights to support operational and strategic decision-making. The role focuses on analytics engineering, business intelligence, and data storytelling, with a high likelihood of extension and/or conversion to a full-time employee., * Design, build, and operate data pipelines in both Alteryx and BigQuery/GCP platforms.

  • Ensure data quality, lineage, and reliability throughout the migration lifecycle.
  • Develop and deliver production-grade dashboards using Tableau and/or Power BI.
  • Perform analyses to uncover business insights and translate data into clear narratives.
  • Partner with business and technical teams to define requirements and support decision-making.
  • Document requirements, data contracts, and create executive presentations.

Requirements

  • 7+ years of experience in Analytics Engineering or a comparable role.
  • Strong experience with BigQuery and the Google Cloud data ecosystem.
  • Extensive experience developing reporting solutions in Tableau and/or Power BI.
  • Advanced SQL and proficiency in Python for analytics and data transformation.
  • Strong written and verbal communication skills.

Nice-to-Have Skills:

  • Experience migrating from Alteryx or other legacy ETL platforms to cloud-native architectures.
  • Google Cloud Professional Data Engineer or Associate Cloud Engineer certification.
  • Experience with Looker or Looker Studio.
  • Familiarity with streaming and near-real-time data architectures.
  • Experience within financial services or regulated industries.

Benefits & conditions

This is a 12-week contract position with the possibility of extension and conversion to a full-time employee.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on portal.procomservices.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

Videos

See all

Related articles

See all