1398 Applied Data Scientists jobs in Dallas,TX

2+ years of computer networking experience
2+ years of Linux operating systems experience
Experience in computer networking
Experience with computer hardware troubleshooting and repair
Bachelor's degree in Information Technology, Computer Science, or a related field; or equivalent work experience in a relevant technical discipline.
Physical Requirements (all physical requirements may be done with reasonable accommodations). This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines.
This role may involve up to 50% travel; the vast majority is local travel but may have the potential to include domestic and international travel to support the organization.

SmartExplore AI is experimental.

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Analyst/Sr Analyst, Contact Center - Analytics

American Airlines

Fort Worth, TX 76101

~ 44 min 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

SmartExplore AI is experimental.

New, Posted 1 day ago

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Automated Machine Operator

Ecolab

Garland, TX 75040

$26.02/hr

~ 26 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School diploma or GED
1 year of experience working in a manufacturing environment using the following equipment: filler, sleeve labeler, cappers, tape machine, bar coders, ink jet printer, hand wrenches, hand stamps, palletizers, lid presses
1 year of experience working with automated processes in a manufacturing environment
1 year working with Microsoft Office Programs (Word, Excel and Outlook)- tablets are used in this role
No immigration sponsorship available for this role
Position requires lifting/carrying up to 50 lbs

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Account Manager - Dallas, TX.

Genesse Scientific Corporation

Dallas, TX 75201

New, Posted 16 hours ago

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Data Center/Chiller Technician

Trane Technologies

Carrollton, TX 75007

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A High School Diploma or GED equivalent is required.
5+ years of experience in HVAC providing expertise in the systems level knowledge.
Proven experience performing start‑up of air‑cooled and water‑cooled chillers, including system preparation, commissioning procedures, operational verification, and post‑start performance checks and repairs.
Proficient utilization of software to connect and check chiller operation.
EPA Certification required.
Must possess a valid driver's license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to: DUI, Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years.

SmartExplore AI is experimental.

New, Posted 3 hours ago

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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

Flexible Schedule

New, Posted 8 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min 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.