Top Senior Data Scientist Jobs

The Senior Data Scientist will develop and validate AML models, oversee implementation, ensure compliance with regulations, and collaborate with governance units.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Design and implement AI solutions for smart manufacturing, focusing on scheduling, optimization, and simulation, while collaborating globally.

The Senior Data Scientist will enhance provider data insights, develop algorithms, collaborate with teams, and mentor members in a healthcare-focused environment.

The Senior Data Scientist will analyze semiconductor data, develop predictive machine learning models, and collaborate with teams to enhance product performance and yield.

The Senior Data Scientist will develop advanced analytics and machine learning models, optimize ETL pipelines, and collaborate with business partners for data-driven solutions.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

Lead experimentation, develop predictive models, and guide product strategies to improve user onboarding and retention in therapy applications.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

The Senior Data Scientist will drive revenue optimization through experimentation, data modeling, and pricing intelligence, partnering with product and finance teams to deliver insights and recommendations for pricing strategies.

The Senior Data Scientist will analyze marketing performance, develop reports, collaborate with teams, and provide data-driven insights to enhance marketing strategies and drive business growth.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

The Senior Data Scientist will develop data-driven open banking solutions, collaborate on dashboard creation, and communicate with clients to drive value across projects.

The Senior Data Scientist will develop and validate machine learning models, automate data pipelines, and implement AI solutions in cloud and edge environments, while collaborating with teams and interfacing with customers.

The Senior Data Scientist will lead analytic engagements, develop predictive models, and collaborate with teams to enhance client solutions in financial services.

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

The Senior Data Scientist will drive provider growth by using marketplace insights, experimentation, and predictive modeling, shaping strategies for provider supply and demand.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

The Senior Data Scientist will deliver impactful analyses for product and business decisions, focusing on insurance-related workflows to improve patient experiences.

Manage financial markets risk portfolio by applying statistical and machine learning models to optimize forecasting and decision-making. Collaborate with cross-functional teams to provide actionable insights.

Develop and deploy AI and ML solutions for service operations, focusing on automating tasks and enhancing user experiences through collaboration and model lifecycle management.