Data Scientist

We have an exciting and impactful opportunity for a Data Scientist to join our growing analytics team in Irving, TX

We believe analyticsisn’ta back-office function.It’snot a reporting layer bolted onto the business after the real decisions get made.It’s the foundation that tells you where riskactually lives, where growth is hiding, and where you’re missing opportunities before it’s too late to do anything about it.

That belief is driving real investment in our people, platforms, and in how deeply data science is woven into the way weoperate. From underwriting to distribution to customer experience,we’rebuilding a data culture where predictive intelligence drives action. It also means evolving how we think about the role of a data scientist.

The expectationisn’tjust technical execution.It’scuriosity. Ownership. The ability to step into ambiguity, frame the problem, engineer the solution, and drive the business toward outcomes that would have been invisible without you.

ABOUT THE ROLE:

In this role you will design and deploy machine learning models to solve complex business problems, manage the full model lifecycle, and build scalable data pipelines. Drive innovation through advanced analytics and AI, while translating insights into actional decisions and partnering across teams to embed solutions into business workflows.

Advanced Modeling & Machine Learning

• Design, develop, and deploy supervised and unsupervised machine learning models to solve complex business problems in underwriting, pricing, claims, and risk segmentation.

• Lead end-to-end model lifecycle management: problem framing, feature engineering, model selection, validation, deployment, and ongoing performance monitoring.

• Apply advanced statistical techniques to extract signals from complex, high-dimensional datasets.

• Develop and refine forecasting models to support actuarial, financial, and operational planning functions.

Data Engineering & MLOps

• Build andmaintainscalable, reproducible data pipelines and feature stores that support modeling workflows.

• Architect and implementMLOpspractices to ensure production reliability.

• Partner with data engineering teams to integrate model outputs into operational systems and downstream analytics workflows.

• Champion data quality, lineage, and governance across structured and unstructured datasets used in modeling.

Research, Experimentation & Innovation

• Design and execute rigorous experiments, translating results into actionable business recommendations with quantified impact.

• Evaluate and prototype emerging AI/ML techniques, including large language model (LLM) integrations, generative AI applications, and automated insight generation for applicability to insurance and financial services use cases.

• Stay current with the academic and industry literature; bring new methodologies into the team’s toolkit where they create measurableadvantage.

Communication & Cross-functional Partnership

• Translate complex model outputs and statistical findings into clear, actionable narratives for leadership, actuarial, underwriting, claims, and distribution partners.

• Collaborate with sales, underwriting, claims, and actuarial teams to embed models into decision workflows and ensure outputs are interpreted and applied correctly.

• Document model assumptions, governance processes, and validation results tomaintaincompliance with regulatory and audit standards.

WHAT WE’RE LOOKING FOR:

Education and Work Authorization

• Master’s or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, Operations Research, or a related quantitative field; Bachelor’s considered with exceptional applied experience.
• United States Citizen or Green Card holder required

Experience:

• 4+ years of applied data science experience, withdemonstrateddelivery of production-grade ML models—ideally within insurance, financial services, or another regulated industry.

• Deepproficiencyin Python (scikit-learn,XGBoost/LightGBM, TensorFlow/PyTorch,statsmodels) and SQL optimization across large-scale datasets.

• Hands-on experience with cloud data platforms (Snowflake, Databricks) andMLOpstooling (MLflow, Vertex AI, SageMaker, or equivalents).

• Track recordof translating ambiguous business problems into structured, solvable data science problems with measurable outcomes.

• Strong understanding of actuarial principles, risk modeling, or loss reservingmethodologyis a significant differentiator.

WHAT’S IN IT FOR YOU:

Join Our Team & Make an Impact! At Orion180, we don’t just meet expectations, we exceed them. If you’re ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!

• Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
• Compensation: Competitive base pay and performance bonuses.
• Career Growth: Mentorship, growth tracks, and professional development.
• Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative.An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.

While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones.  In addition, there is an occasional need