Top Remote Data Science Jobs in Dallas, TX

As a Data Scientist, you will analyze complex supply chain data, identify trends, and develop predictive models to support strategic business decisions. Responsibilities include data collection, statistical modeling, collaboration with teams, and effective communication of insights to stakeholders.

As a Data Verification Specialist, you will examine and verify data, ensuring its accuracy and completeness. You'll maintain data integrity, conduct outreach calls to confirm information, and follow established procedures for data entry and security.

The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.

Lead the development of machine learning algorithms for advertising data at Arity, focusing on optimizing ad platforms through predictive analytics. Collaborate with cross-functional teams to analyze vast datasets and improve marketing strategies. Drive innovation in machine learning solutions, experimenting with algorithms, and presenting insights to stakeholders.

As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.

As a Research Scientist at Deepgram, you will innovate and build advanced voice AI solutions, utilizing deep learning to train models that interpret speech and comprehend text. You will drive large-scale training, optimize models, and collaborate with product and engineering teams to deploy AI capabilities.