Top Senior Data Science Jobs

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

As a Senior Data Scientist at Remitly, you'll drive data-driven decision-making, mentor junior staff, and own complex analytical problems utilizing AI/ML techniques.

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 develop analytic solutions for fraud prevention, lead analytic client engagements, and communicate strategies across various industries, predominantly in financial services.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.

As a Principal Data Scientist, you'll leverage machine learning to derive insights from data, collaborate with teams, and enhance payment processes.

The Senior Data Scientist will develop actionable insights through quantitative analysis, collaborating with cross-functional teams to enhance product decisions and optimize performance using statistical modeling and machine learning techniques.

As a Senior Data Scientist, you'll lead projects using quantitative analysis to solve business problems, build models, and enhance inventory optimization.

The Senior Data Scientist will architect and maintain data platform infrastructure, support data scientists in model development, and automate data project deployments.

Lead Data Scientist responsible for managing and optimizing Parts Long-Term Forecast processes, developing analytics solutions, and delivering insights using machine learning and statistical models.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

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

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

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.

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.

The Data Scientist will develop and deploy AI systems to identify threats, mentor juniors, and collaborate on various technical products.

The Data Scientist will explore, clean, analyze, and visualize data, leveraging machine learning and AI to deliver insights and solve complex problems for clients.

The role involves analyzing datasets, developing analytics, and building predictive models using Python, R, and machine learning frameworks. A strong background in statistics and data wrangling is required, along with proficiency in SQL and data visualization tools like Tableau.

The Data Scientist will lead analytics projects, develop machine learning models, oversee a team, and contribute to MLOps implementations for mission automation.

The Staff Data Scientist will analyze data, create dashboards, and provide insights to drive product decisions and business strategies. Responsibilities include collaborating with product teams, analyzing performance metrics, and synthesizing large datasets for senior stakeholders.