Data Science Jobs in Plano, TX

Lead enterprise product and experience initiatives, guiding cross-functional teams (product, data, design, ML, engineering) to define strategy, deliver customer-centric digital products, prototype and apply emerging AI/automation tools, and drive transformational outcomes across Capital One.

As a Senior Analyst, you'll lead data-driven customer engagements, coach team members, and deliver executive-level communication to drive AI transformation in Ericsson's operations.

Lead Specialty Product Design and Modeling as the data science representative on a multi-year platform transformation. Own Specialty rating program requirements, advance modeling research, test new data sources and techniques, support high-priority modeling work, and communicate results to senior leaders and cross-functional teams.

Lead end-to-end development and production deployment of ML solutions for claims, using structured and unstructured data. Mentor junior data scientists, follow MLOps best practices, design experiments, engineer features, select algorithms, and communicate results to stakeholders. Contribute to cross-functional initiatives and apply modern ML (including LLMs and computer vision) to improve claims efficiency and outcomes.

Lead the Anti-Money Laundering Modeling team to develop advanced analytics and machine learning models, partnering with cross-functional teams to derive actionable insights from data.

Lead development and delivery of Fannie Mae's enterprise AI platform capabilities, balancing innovation with security, governance, and cost controls. Own product vision, roadmaps, and core services (models, tooling, agent runtimes), partner with engineering, security, finance, legal, and business teams, onboard priority use cases, and drive adoption through strong stakeholder engagement and developer experience.

Lead model validation and risk quantification across business domains. Partner with data scientists, engineers, and PMs to build and challenge production models using Python, Spark, H2O, and cloud tools. Drive model governance, backtesting, and present identified model risks to executives while mentoring teams and advancing validation frameworks.

The Lead Data Science Product Manager will lead AI initiatives, engage with executives, design AI solutions, and provide overall product leadership.

Own one or more data science products end-to-end: gather customer requirements, write technical specs, prioritize features, coordinate stakeholders, drive delivery and adoption. Support data science and engineering tasks as needed and promote product usage across the organization while ensuring successful implementation and value realization.

The Lead Data Science Engineer is responsible for engineering AI capabilities, managing data pipelines, and delivering ML engineering solutions, while ensuring data quality and optimizing existing systems.

Lead multiple data engineering teams to ensure data quality, build and optimize data pipelines, ingest and curate diverse data sources, transform data for ML/analytics, productionize data science products, collaborate with IT for deployments, manage budgets/resources, and build business cases with ROI analyses.