Top Software Data Science Jobs

Own model observability for Auto Physical Damage data science products, including traditional ML and GenAI/LLM systems. Build monitoring pipelines, dashboards, metrics, thresholds, alerts, and remediation documentation. Detect drift, performance degradation, anomalies, and data-quality issues; support MLOps, LLMOps, governance, compliance, and audit reporting. Analyze business outcomes, identify improvement opportunities, and communicate model health findings to technical and non-technical stakeholders.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior EO Imagery Analyst / Scientist analyzes EO imagery for ML testing, assesses sensor capabilities, and standardizes data formats for model testing.

The Senior SAR Imagery Analyst/Scientist analyzes SAR imagery, provides geospatial expertise, and improves data systems for ML applications.

The Senior EO Imagery Analyst will provide geospatial expertise, assess sensor capabilities, and improve data quality for Machine Learning applications.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Senior Associate in Data Science, you will optimize and deploy machine learning models while collaborating with cross-functional teams to analyze data and derive insights for strategic decision-making in consumer credit risk management.

Lead data science efforts to integrate Discover and Capital One card models: build, validate, and implement machine learning models using big-data tools, partner with engineers and product managers, and deliver customer-focused model solutions.

The Director of Data Science role at Capital One involves leading a team to build data pipelines and machine learning models, leveraging technologies like Python and AWS to derive insights for improving customer financial decisions.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

Lead end-to-end direct mail marketing campaigns: define targeting and suppression logic, execute and validate data pipelines, manage offshore execution, measure ROI and experiment results, partner with marketing and third parties to optimize audiences and campaign performance, and present insights to senior leadership.

Build and maintain pricing and profitability models to optimize lending strategies, incorporating proprietary credit models. Design A/B tests, analyze financial performance trends, and present data-driven recommendations to senior management. Collaborate with credit risk, capital markets, FP&A, marketing, and sales to quantify financial impact and improve pricing decisions.