Top Senior Data Science Jobs

As a Senior Data Scientist, you will extract insights from pharmaceutical data, develop AI solutions, partner with stakeholders, and translate findings into actionable recommendations.

Seeking a Senior Data Scientist with experience in machine learning and generative AI to design, build, and deploy models to improve healthcare outcomes. Responsibilities include developing analytics solutions, working with diverse healthcare data, and mentoring clients.

RDC.AI seeks a Senior Data Scientist to develop AI/ML solutions for credit decisions in commercial lending, mentor junior staff, and engage clients.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.

The Data Scientist will develop and implement ML models, analyze financial data, create dashboards, and collaborate with various teams to enhance decision-making processes for underserved communities.

The Senior Data Scientist will apply data manipulation principles to solve technical problems, support NATO force design, and strategic decision making through big data solutions and advanced technologies.

The Senior Data Scientist will analyze DeFi and stablecoin data to enhance understanding of liquidity and market behaviors, create dashboards, and develop measurement frameworks in collaboration with various teams.

Lead the development and implementation of account-level CECL models and frameworks while collaborating with cross-functional teams to ensure accurate credit loss estimation and management insights.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

As a Senior Data Scientist, you'll develop and deploy machine learning models for data protection, analyze datasets for insights, and collaborate with teams to enhance product features.

Lead analytic and ML research for precision medicine and biomarker discovery. Build, validate, deploy, and monitor large-scale multi-omics data pipelines and predictive models; provide statistical support for experiments; collaborate cross-functionally and mentor junior staff.

The Principal Data Scientist leads commercial analytics, develops ML models, collaborates with clients and teams, and ensures quality outcomes while mentoring junior staff.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

As a Data Scientist/Engineer, you will build and productionize data pipelines, design LLM-based solutions, and integrate Agentic AI technologies. Your role involves evaluating decision-making frameworks, ensuring responsible AI practices, and engaging with clients for feedback on prototypes and roadmaps.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

The Sr. Data Scientist analyzes complex data to identify trends, builds predictive models, automates processes, and communicates insights effectively.

The Senior Data Scientist develops machine-learning solutions to optimize user engagement in mobile apps and collaborates with various teams for data-driven insights.

As a Senior Data Scientist in Fraud, you will design and deploy machine learning solutions for fraud detection, analyze behavioral data, develop data pipelines, and collaborate with teams to enhance platform safety.

Lead experimentation in user migration and marketing strategies, applying advanced statistical techniques and causal inference methods to drive business decisions.

As a Senior Data Scientist II, you will lead AI model development, mentor junior staff, analyze large datasets, and collaborate on AI solutions.

The Lead Data Scientist leads AI and machine learning model development, mentors junior team members, and collaborates on data-driven solutions for complex problems.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

The Sr. Data Scientist in Aftersales Support develops predictive analytics and optimization solutions, models data processes, and collaborates on advanced reporting and dashboards.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

The Senior Data Scientist will develop and monitor fraud and credit risk models, operationalize ML models, partner with teams, and ensure model performance.