1447 Data Science Lead jobs in Texas

Bachelor's or Master's degree from an accredited college or university in medical technology, clinical laboratory, chemical, physical, or biological science is required
High school graduate or equivalent AND successfully completed military training of 50 or more weeks and served as a medical laboratory specialist.
Certification by the American Society for Clinical Pathology Board of Certification (ASCP-BOC) or American Medical Technologists (AMT) is required

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New, Posted 23 hours ago

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Major Account Sales

Spectrum

Coppell, TX 75019

OnsiteUrgently Hiring

High school diploma or general education degree required (GED)
Experience in a consultative sales role
Read, write, speak and understand English
Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
Proven networking, negotiation and closing abilities
Valid and active State driver's license with safe driving record
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future

SmartExplore AI is experimental.

New, Posted 4 hours ago

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Medical Lab Scientist PRN

University Health Careers

San Antonio, TX 78228

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Analyst/Sr Analyst, Contact Center - Analytics

American Airlines

Fort Worth, TX 76101

OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics or related technical discipline; or equivalent experience/training
3 years related work experience
2 years of experience with data extraction, manipulation and analysis from relational databases
Experience with data extraction tools and methods (SQL, SAS, Access, etc.)
Experience using internal data warehouse's (e.g. Mosaic) for data extraction, analysis, and reporting

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Highland Village, TX 75077

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 22 hours ago

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Fraud Strategy Analyst Lead

USAA

San Antonio, TX 78288

RemoteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree: OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions.
Comprehensive understanding of the end-to-end process of gathering business requirements and applying business rules to recommend technology solutions.
Expert knowledge and demonstrated experience using fraud rules management to recommend and implement strategies that reduce or mitigate loss and fraud exposures.
Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Extensive knowledge of bank laws and regulations related to money movement and /or payments, including but not limited to Reg E, Reg CC, UDAAP, FACTA and Reg Z.
Strong written and verbal communication skills, with demonstrated ability to synthesize data and clearly reporting findings.

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Research Scientist

Dell Medical School

Austin, TX 78701

Onsite

Master's degree in a related field
10 years of professional experience with complimentary experience in a data-related field such as data analysis and data management or a PhD and 5 years of professional experience with complimentary experience in a data-related field such as data analysis and data management.
2 years' experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design.
Proficient in a range of statistical techniques and procedures.
Ability to use R and SAS.
Ability to perform power and sample size calculations.
Experience developing REDCap databases.
Ability to work in high-performing and multidisciplinary teams.
Relevant education and experience may be substituted as appropriate.

SmartExplore AI is experimental.