Data Scientist

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

We believe analyticsisnta back-office function.Itsnot a reporting layer bolted onto the business after the real decisions get made.Its the foundation that tells you where riskactually lives where growth is hiding and where youre missing opportunities before its 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 experiencewerebuilding a data culture where predictive intelligence drives action. It also means evolving how we think about the role of a data scientist.

The expectationisntjust technical execution.Itscuriosity. 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 teams 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 WERE LOOKING FOR:

Education and Work Authorization

• Masters or Ph.D. in Statistics Data Science Computer Science Mathematics Operations Research or a related quantitative field; Bachelors 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 modelsideally within insurance financial services or another regulated industry.

• Deepproficiencyin Python (scikit-learnXGBoost/LightGBM TensorFlow/PyTorchstatsmodels) 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.

WHATS IN IT FOR YOU:

Join Our Team & Make an Impact! At Orion180 we dont just meet expectations we exceed them. If youre 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 addition there is an occasional need to bend twist or squat down to open/close cabinets and reach for files or other standard office-type objects.

Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.

Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email to request assistance.

Required Experience:

IC