McCarthy & Holthus, LLP
AI

Data Scientist

McCarthy & Holthus, LLP · San Diego, CA, US · $62k - $72k

Actively hiring Posted about 4 hours ago

Role overview

At Quality Claims Management Corp., and our affiliate companies, we have years of expertise in representing financial institutions across a wide range of banking law matters, and we’re looking for passionate, driven candidates to join our dynamic team! Our office is located in San Diego, California.

Our workplace is more than just a job – it’s a supportive, collaborative environment where your contributions truly matter. You’ll be part of a team that values hard work, creativity, and dedication, while enjoying a strong sense of community. We offer performance-based bonuses, competitive compensation, and a range of incentives that reward your success. Plus, with generous benefits, enhanced employer contributions, and paid time off, we prioritize your well-being and work-life balance.

Summary: We are seeking a highly analytical and technically skilled Data Scientist to design, develop, and optimize machine learning models and data pipelines within an AWS environment. This role sits at the intersection of data engineering, machine learning, and UX/UI development and will play a critical role in transforming datasets (including image data) into actionable insights and scalable solutions.

What you'll work on

  • Design, build and maintain scalable data pipelines in AWS (S3, Lambda, Glue, Redshift, SageMaker).
  • Develop, train and deploy machine learning models including image recognition/computer vision algorithms.
  • Identify, evaluate and integrate diverse data sources (structured and unstructured) to support model development.
  • Perform data exploration, cleansing, featuring engineering and statistical analysis to improve model performance.
  • Lead model validation, testing and performance monitoring to ensure accuracy and reliability.
  • Partner with UI/UX and software development teams to translate data outputs into intuitive, user-facing applications.
  • Serve as a bridge between technical teams and business stakeholders to ensure solutions align with operational needs.
  • Drive continuous system enhancements, including automation, optimization, and scalability improvements.
  • Establish best practices for data governance, quality and security within AWS environments.
  • Document models, processes and system architecture for internal and external stakeholders.
  • May perform other duties as assigned to support department goals.
  • May occasionally work extended hours based on operational needs.

What we're looking for

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics or related field.
  • 3+ years of experience in machine learning or a related role.
  • Hands-on experience building data pipelines and working withing AWS ecosystems.
  • Strong programming skills in Python with experience in libraries.
  • Experience with computer vision and image recognition models.
  • Solid understanding of data modeling, statistical analysis and machine learning techniques.
  • Experience working in both structured and unstructured data sources.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Interview process

Ready to take the next step? Apply now and be part of our thriving team!

https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=687a01ed-c0c1-4af4-ba7e-69bf0c5dc833&ccId=9203978792673_2&lang=en_US

Notices:

The above information on this job description is designed to indicate the general nature and level of work performed by incumbents. Other duties and responsibilities not specifically described may be assigned from time to time, consistent with the knowledge, skills, and abilities of the incumbent.

Quality Claims Management Corp. is an Equal Opportunity Employer. We are committed to providing a work environment free from discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Qualified applicants with a criminal history will be considered pursuant to the San Diego County Fair Chance Ordinance, the California Fair Chance Act, and other applicable state or local laws. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made. After making a conditional offer and running a background check, if there are concerns about a conviction directly related to the job, you will be given the chance to explain the circumstances, provide mitigating evidence, or challenge the accuracy of the background report. For more information about the Fair Chance Ordinance, visit the San Diego County Office of Labor Standards and Enforcement webpage.

As part of our commitment to maintaining a lawful and compliant workforce, we participate in the E-Verify program. All candidates who accept a job offer will be required to complete the E-Verify process to verify their employment eligibility in the United States.

Applications will be accepted until April 30, 2026.

Tags & focus areas

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Fulltime Remote Machine Learning Data Science Ai