Senior Data Scientist

Senior Data Scientist – Computer Vision & AI - Contract 📍 Location: United States (Hybrid/Remote options available) On behalf of our client, we're looking for a Senior Data Scientist to join a high-impact AI and Data Science organization that is transforming critical infrastructure through advanced analytics, machine learning, and computer vision. This is an opportunity to work on complex, real-world problems where your models will directly influence business decisions, operational efficiency, and the development of next-generation AI solutions. Contract Duration: 4-month contract with high potential for extension based on business needs and performance. What You'll Be Doing • Lead the end-to-end development of machine learning and computer vision solutions, from discovery through deployment. • Partner with business stakeholders and technical teams to identify high-value AI opportunities. • Design, build, and optimize predictive machine learning models. • Lead computer vision initiatives, including data labeling, model training, evaluation, and deployment. • Build scalable data pipelines by extracting, transforming, and preparing data from multiple sources. • Develop clean, production-quality Python code for feature engineering and model development. • Present technical findings and recommendations to both technical and executive audiences. • Review and mentor other data scientists, ensuring high technical standards across the team. • Collaborate closely with Data Engineers, Machine Learning Engineers, and subject matter experts to deliver production-ready AI products. What We're Looking For • Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, Physics, Economics, or a related quantitative discipline (Master's preferred). • 4+ years of experience in Data Science (2+ years with a relevant Master's degree). • Strong experience developing and deploying machine learning models in production environments. • Advanced Python programming skills. • Deep understanding of statistics, feature engineering, model evaluation, and machine learning best practices. • Experience working with large and complex datasets. • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. • Strong systems thinking and problem-solving abilities. Nice to Have • Experience building Computer Vision models. • Experience with AWS technologies such as S3, SageMaker, and Ground Truth. • Experience mentoring or leading other Data Scientists.