Job Overview
We're a fast-growing AI startup based in Austin, Texas, dedicated to building tools that give companies real visibility into whether their AI agents are actually working.

Our platform provides operational health monitoring and quality evaluation for AI agents — giving founders and teams real-time insight into every run, every trace, and every output. We're building for both technical teams and non-technical founders who need clear, actionable signals without the engineering overhead.

Our stack includes Python microservices, real-time trace ingestion via OpenTelemetry, LLM orchestration across multiple providers, a credit-based evaluation engine, and integrations across the AI ecosystem — LangChain, AWS Bedrock, and custom-built agents.

We are seeking a passionate and resourceful Data Scientist with a "hacker" mindset to join our team and contribute to the development and deployment of cutting-edge, AI-powered decision support systems. In this dynamic role, you'll be involved in everything from data harvesting and schema design to building machine learning products and decision support tools.

You are determined to overcome technical challenges, and are excited to work in a constantly evolving technological landscape. You'll play a key role in analyzing large datasets, identifying patterns, and devising solutions that enhance our clients' capabilities. You'll work collaboratively with cross-functional teams to tackle complex, large-scale problems and help achieve shared goals.

Responsibilities

• Identify valuable data sources and automate mining/collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of data/information to discover and articulate trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Develop conclusive insights using statistical methods.
• Make and defend arguments using data and data-based insight.

Required Qualifications

• 4+ years' experience as a Data Scientist, Data Analyst or Data Engineer.
• Bachelor’s degree in Math, Science, Engineering
• Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools.
• Critical thinker that is comfortable supporting collaborative problem solving in a team environment
• Has strong writing and communication skills.
• Upholds and leads by example. Definitive Logic Credo of ethical, professional behavior.

Preferred Qualifications

• Experience developing and working with robotic process automation tools.
• Experience working on datasets involving facilities, built infrastructure, physical assets, and real property or real estate portfolios.
• Certifications or experience in project management or software development
• Experience supporting digital transformation of workflows and business processes.
• Interest in learning about asset management and developing resource management and investment models.

Job Type:

• Full Time or Contract
• In-person position will be in-office, Mon-Fri

Schedule:

• Monday - Friday office hours
• Flexibility when needed

Experience:

• Data Scientist: 4+ years
• Python: 2+ years (Preferred)
• SQL: 2+ years

Location:

• Austin, Texas (including surrounding Metro areas)

Pay: $135,000.00 - $170,000.00 per year

Application Question(s):

• Do you have a Bachelor’s degree in Math, Science, or Engineering?
• Do you have working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools.
• Do you have 4+ years’ of Data Scientist experience in the workforce?
• Do you currently live in Austin, TX or surrounding metro area? (This is an in-person position, Mon - Fri).
• How many years of direct experience with Python? SQL? (2 part question)
• Are you authorized to work in the United States without sponsorship or E-Verification (ex: OPT STEM extension), now or in the future?

Education:

• Bachelor's (Required)

Work Location: In person