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Alis Software Jobs in Texas (NOW HIRING)

Tech Lead Python Developer

Dallas, TX · On-site

$138K - $170K/yr

Job Summary We are seeking a highly skilled and experienced AWS-Python-API Developer with expertise in building and maintaining robust, scalable API solutions. As part of our development team, you ...

AI Data Architect

Dallas, TX · On-site

$58.75 - $75.75/hr

Roles & Responsibilities * Own enterprise AI and data architecture strategy, roadmap, and governance. * Define target-state architecture for data platforms, analytics, machine learning, GenAI, and ...

Eng Sr - Sys

Fort Worth, TX · On-site

$88K - $149K/yr

Collaboration with software engineers to create test plans within an ALIS environment * Develop and maintain tests and testing environment. * Carry out testing within an ALIS environment to industry ...

Field Svc Eng II

Fort Worth, TX · On-site

$72K - $122K/yr

BAE Systems is seeking a methodical and skilled Field Support Software Engineer to provide critical software and data engineering support for the F-35 Autonomic Logistic Information System (ALIS ...

Computer Skills/Software Skills * Advanced level knowledge of Microsoft Office applications including Outlook, Excel, PowerPoint, and Word * Experience with Dyad ALIS is preferred Essential Skills ...

Alis Software information

What is the difference between Alis Software vs Bookkeeper?

AspectAlis SoftwareBookkeeper
Primary RoleAccounting software for managing financial dataRecording and maintaining financial transactions
Required CredentialsBasic accounting knowledge, software proficiencyBookkeeping certification or experience
Work EnvironmentOffice or remote, using accounting softwareOffice-based, manual data entry or software use
Industry UsageUsed by small to medium businesses for financial managementUsed by small businesses, accountants, and finance teams

Alis Software is a financial management tool designed to streamline accounting processes, while a bookkeeper manually records financial transactions. Alis Software automates tasks and offers reporting features, whereas bookkeepers focus on data entry and reconciliation. Both roles are essential in financial management, but Alis Software serves as a digital solution to support bookkeepers and accountants in their work.

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Infographic showing various Alis Software job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

DATA SCIENTIST - Healthcare Domain

ALIS Software

Dallas, TX • On-site

Other

Posted 11 days ago


Job description

Roles & Responsibilities

Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels.

Design and execute analytical methods including segmentation, causal inference, forecasting, propensity modeling, uplift modeling, and experiment design.

Defend analytical methodology and findings during review and governance forums.

Provide an initial evidence-based answer within five business days, including inconclusive or negative results.

Maintain daily progress updates covering hypotheses tested, findings, confidence level, next steps, and blockers.

Develop production-quality, version-controlled analytical code with reproducible notebooks and documented assumptions.

Partner with Data Engineers to define features, granularity, historical data requirements, and address data gaps proactively.

Convert validated findings into metric definitions and business logic for visualization and reporting.

Collaborate with client data scientists and provide comprehensive model documentation for handover and reuse.

Additional Responsibilities (Senior Data Scientist)

Serve as analytics lead for the pod.

Own analytical quality across engagements.

Act as peer reviewer and mentor internal and client analysts.

Drive analytics best practices and technical excellence.

Senior Data Scientist: 10+ years of applied data science experience.

Advanced proficiency in Python and/or R and SQL.

Demonstrated experience deploying analytical models into production.

Strong foundation in statistics, machine learning, experimentation, and predictive analytics.

Strong background in statistics, mathematics and with data science degree

Healthcare, medical device, life sciences, or regulated-industry experience preferred.