Top Senior Data Scientist Jobs

The Senior Data Scientist will collaborate with investment teams to build predictive models, enhance production models, communicate insights, and support data-driven decision-making.

The Sr. Data Scientist leads projects to enhance profitability through data science, mentoring teams and collaborating with business partners. Responsibilities include solution development, project management, insight presentation, and technical exploration.

As a Senior Data Scientist, you will develop predictive models, conduct exploratory data analysis, and support data-driven decision-making across various domains while collaborating with other data professionals.

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.

Lead the end-to-end data and model lifecycle, mentor team members, and drive AI/Data Science practices on Databricks to enhance investment decisions.

Responsible for designing and developing personalization models, applying advanced data science techniques, and fostering innovation within the team. Develop large-scale data science systems and influence decisions with insights. Requires travel up to 10%.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

Join The Hartford as a Senior Data Scientist, focusing on Generative AI to enhance underwriting and customer service through innovative AI-driven solutions and research in the field.

The Senior Data Scientist designs and deploys data products and machine learning models for biopharma clients, working with cross-functional teams to produce scalable insights from healthcare data.

Design, build, and deploy ML solutions for recommendation systems and predictive modeling, translate insights for senior leadership, mentor junior members.

As a Senior Data Scientist, you will develop predictive models, analyze healthcare claims data, and communicate insights that drive strategic decisions.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The role involves owning and evolving production ML systems, developing models, collaborating with stakeholders, and ensuring efficient system performance through coding and infrastructure contributions.

Lead development and implementation of advanced data science models, collaborate with stakeholders, ensure data quality and best practices, mentor junior scientists, and apply experimentation and analytics to drive product decisions.

The Senior Data Scientist will develop predictive models using machine learning, analyze data, and collaborate on solutions in a team-oriented environment.

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.

The Senior Data Scientist will develop predictive models, process data in cloud environments, and use statistical analysis to inform business strategy.

The Senior Data Scientist will work cross-functionally to build and deploy machine learning models, analyze product data, and mentor junior staff.

As a Senior Data Scientist, you will apply machine learning and econometrics to enhance business operations, develop forecasting models, and collaborate with various teams to translate complex data insights for stakeholders.

Lead research using large-scale historical equities data to develop and back-test portfolio construction and trading models, identify market-microstructure and liquidity risks, design testing frameworks and signal libraries, mentor data scientists, and collaborate with engineering to deploy and monitor production models.

Develop and deploy data solutions, collaborate on model optimization, communicate findings, and write scalable code in a data science context.

Develop and deploy data solutions, focusing on machine learning and statistical modeling. Collaborate with teams to transform data into insights.

The Senior Data Scientist will leverage ML and AI to develop models for risk adjustment, conduct data analysis, collaborate with teams, and implement solutions.