1019 Data Scientist Ai Predictive Analytics jobs in Dallas,TX

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Data Analytics Engineer

YANTRAN LLC - Dallas, TX

Data Analytics Engineer

New, Posted 1 day ago

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Manager, Data Analytics

McKesson

Irving, TX 75039

Hybrid~ 22 min

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years in analytics, business intelligence, or a similar role.
Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
Solid understanding of data modeling and BI best practices
Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
Experience replacing or modernizing RPA automations
Background in healthcare, pharma, or distribution
On-site at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role
McKesson is an Equal Opportunity Employer

SmartExplore AI is experimental.

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Senior AI Developer [210505]

Aquent Talent

Southlake, TX 76092

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
7+ years of professional software engineering experience actively developing large-scale software using Java, Spring framework, cloud development, and Web Services supporting high-volume transactions in a highly available environment.
2+ years of hands-on experience with AI/ML implementation and production deployment.
6+ years of experience working with containers and microservices in the cloud.
6+ years of experience in cloud deployment within a continuous integration and continuous delivery (CI/CD) model.
2+ years of experience with cloud platforms like AWS or GCP.
2+ years' experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL.
2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms.
Hands-on experience with Large Language Models.
Demonstrated exposure to, or hands-on experience with, Generative AI coding assistants used across day-to-day engineering workflows in the SDLC, applying engineering judgment and validation.
Working knowledge of agentic workflows, spec-driven development, and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Understanding of broker-dealer capabilities and operations.

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New, Posted 3 hours ago

Medical Laboratory Scientist

Medical City Dallas

Grand Prairie, TX 75052

IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

~ 22 min Onsite

Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
Security model understanding and maintenance
Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
Experience in data integration with ETL techniques and frameworks
Experience in Big Data querying tools, such as Hive, Impala and Spark SQL

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