11 machine learning data scientist jobs at 8 companies in Irving, TX
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Data Scientist
Tucson or Oakland or Washington or New Orleans or Frisco or Houston
$75k-$173k/yrOnsiteFull Time
DHS Office of Inspector General: Provides independent oversight of Department of Homeland Security operations.
1+ YOEApply statistical and machine learning techniques using R or Python, build logical data models, create visualizations and dashboards, and communicate analytical findings to technical and non-technical stakeholders.
Vanguard: Provides mutual funds, ETFs, and investment management services.
5+ YOE5+ years in analytical roles, strong data wrangling and programming (Python,R,SQL), machine learning and statistical methods, experience with big data (Spark/Hadoop), and ability to communicate insights.
Vizient: Healthcare performance improvement and group purchasing organization.
7+ YOE7+ years experience in data science with expertise in machine learning, generative and agentic AI, LLMs, RAG, statistical modeling, production deployment, cloud platforms, and mentoring technical teams.
Python, R, SQL, SAS, Databricks, large language models (LLMs), retrieval-augmented generation (RAG), vector databases, knowledge graphs
ToyotaNYSE: TM: Designs and manufactures vehicles and provides automotive financial services.
Master's degree in a relevant analytical field, hands-on experience with Python and SQL, expertise in statistical and machine learning techniques, experience productionizing models and working with cloud ML platforms, strong communication and stakeholder skills.
Pittsburgh or Birmingham or Strongsville or Cleveland or Dallas
$86k-$173k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
3+ YOE3+ years relevant experience, master's degree preferred, strong analytics and machine learning skills, data mining and data architecture knowledge, and ability to present insights.
McLean or Charlotte or Richmond or New York or Plano
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEAdvanced degree in quantitative field with multi-year analytics experience; 1+ year in open-source languages, machine learning, and relational databases; experience with deep learning/GenAI preferred.
McLean or Charlotte or Richmond or Plano or Riverwoods
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
1+ YOEDegree in a quantitative field (BS/MS/PhD) plus 1–6 years analytics experience depending on degree; 1+ year experience with open-source languages, machine learning, and relational databases; proficiency with Python, Conda, AWS, H2O, and Spark; strong communication.
Senior Associate, Data Scientist - Model Risk Audit
McLean or Charlotte or Richmond or New York or Plano
$123k-$169k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEBachelor's in a quantitative field plus 2 years analytics experience or Master's; 2+ years in Python/Scala/R, SQL, machine learning; AWS experience preferred; strong statistics and communication skills.
Unleashed Brands: Franchisor platform for youth enrichment and education brands.
2+ YOE2+ years data science/analytics experience, advanced SQL, Python or R, machine learning, A/B testing, experimentation, and experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot, ChatGPT).
SQL, Python, R, Claude Code, Cursor, GitHub Copilot, ChatGPT
Principal Associate, Data Science - Model Risk Office
McLean or Chicago or New York City or Plano
$162k-$185k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
3+ YOEDegree in a quantitative field (BS+5yrs, MS+3yrs, or PhD) with 3+ years data analytics experience typical; strong skills in Python, Spark, SQL, AWS, model validation, machine learning, and leadership.
Auger: AI-powered autonomous operating system for global supply chain management.
PhD in relevant field, deep expertise in optimization, machine learning, and large-scale data systems; leadership experience scaling teams; supply chain domain experience; strong communication skills.