701 Appian Developer jobs in Frisco,TX

Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
5+ Years Analytics in Financial Services Industry. - Required.
5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
5+ Years Prior experience developing credit scoring models preferred. - Preferred.
Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
Prior experience working with credit bureau data.
Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
Demonstrated ability to create complex pivot tables in MS Excel.
Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
Ability to translate analysis into a clear business plan.
Strong written and verbal communication skills.
Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
Ability to maintain confidentiality..

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Software Developer

McKesson Careers

Irving, TX 75061

$112,923-$160,000/yr

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Information Technology Professional (IT Support)

U.S. Navy

Frisco, TX 75034

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Buyer

Delta Electronics (Americas)

Plano, TX 75075

$85,000/yr

~ 18 min OnsiteBilingual Preferred

Bachelor's degree in supply chain management or a related field.
Minimum of 3 years of experience in technical procurement or buying within manufacturing, industrial, or facility operations.
Strong understanding of factory equipment, industrial tools, facility systems, and construction-related services.
Proven skills in negotiation, supplier relationship management, and purchasing documentation.
Proficiency in ERP systems and Microsoft Office applications.
Ability to interpret technical specifications and collaborate effectively with internal engineering teams and external suppliers.
Bilingual required - fluent in English and intermediate proficiency in Mandarin.

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

~ 29 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Based in the Dallas, TX area
Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
Strong understanding of account planning, solution selling, and project-based business development.
Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
Excellent communication, negotiation, presentation, and relationship management skills.
Ability to travel up to 75% across the Americas.

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Scheduler

TEKsystems

Corinth, TX 76210

$25/hr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Scheduler (Healthcare) – Denton, TX (Onsite)
Minimum 3+ years of healthcare experience
At least 5 years of office experience, preferably in a medical setting
Strong experience with:
Patient scheduling (appointments, referrals, procedures)
Healthcare scheduling workflows
Inbound call handling
Insurance verification and authorization
Knowledge of medical terminology and coding
Experience with EMR systems
Ability to thrive in a high-volume, patient-facing environment

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 23 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.