Senior Data Scientist

Key Details

• Compensation: $170,000 – $180,000 with potential Bonus 

• Location: Arlington, TX

• Work Model: ONSITE 4 to 5 Days a week 

• Benefits: Are eligible to enroll in benefits, including medical, dental, and vision

• Employment Type: Full-Time

• Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future

We are seeking an experienced Senior Data Scientist to develop advanced analytics, machine learning, and AI solutions that improve business decisions and performance. This role will lead projects from initial problem definition through modeling, validation, deployment, and ongoing monitoring.

The ideal candidate combines strong technical expertise with practical business judgment and can clearly communicate complex findings to both technical and nontechnical stakeholders.

Key Responsibilities

• Develop and validate predictive, forecasting, optimization, statistical, and machine-learning models

• Lead data science initiatives from problem definition through production implementation

• Perform exploratory data analysis and feature engineering using large, complex datasets

• Identify data-quality, measurement, and modeling limitations

• Design evaluation methods that reflect business objectives, operational constraints, and potential risks

• Partner with engineering and technology teams to integrate models into applications, workflows, and APIs

• Establish monitoring practices to evaluate model performance after deployment

• Clearly communicate findings, assumptions, uncertainty, and recommendations to business stakeholders

• Support cross-functional discovery, architecture, governance, and operational-readiness efforts

• Evaluate emerging analytics and AI capabilities for practical business applications

• Lead pilot initiatives and help move successful solutions into production

• Maintain professional and ethical business practices

Required Qualifications

• Master’s degree in a quantitative discipline or a bachelor’s degree with equivalent professional experience

• 5+ years of experience in data science, machine learning, advanced analytics, statistics, or a related field

• Strong Python and SQL skills

• Hands-on experience with machine learning, forecasting, statistical analysis, or optimization

• Familiarity with generative AI, large language models, prompt development, context design, and evaluation methods

• Experience with exploratory analysis, feature engineering, model validation, experimentation, and version control

• Experience partnering with engineering teams to deploy and support models in production

• Strong business communication skills and the ability to work effectively with nontechnical subject-matter experts

• Ability to work independently, take ownership, and deliver results in a changing environment

Preferred Qualifications

• Experience with cloud-based data and machine-learning platforms

• Familiarity with model-lifecycle tools and commonly used open-source machine-learning libraries

• Experience working with geospatial, document-based, or other unstructured data

• Experience developing analytics or AI solutions within a large or complex organization

• Experience building new data products, technical capabilities, or solutions from the ground up

Ready to take the next step in your career? Apply today. We’re actively interviewing and excited to meet you.

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