Top Data Science Jobs

The Data Scientist analyzes data, develops predictive models, implements machine learning algorithms, and communicates insights to stakeholders, driving data-driven decision-making.

The Data Scientist will analyze data, build predictive models, and collaborate with teams to deploy data products, driving business outcomes.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Staff Data Scientist leads machine learning initiatives for personalization and optimization. Responsibilities include causal measurement, LTV model development, and technical leadership across data science teams, partnering with cross-functional teams to align strategies and impact revenue outcomes.

The Development Data Scientist Analyst designs and implements advanced analytics solutions, conducts data analysis, and collaborates with stakeholders to optimize drug development processes through predictive modeling and machine learning techniques.

The Data Scientist 1 role involves developing data-driven solutions, analyzing large datasets, and collaborating with clients and teams using machine learning techniques.

The Data Scientist will develop predictive models, conduct A/B testing, and optimize solutions while collaborating with engineering teams, and communicating findings to stakeholders through visualizations.

The Data Scientist will assist in developing AI and data science solutions, focusing on data analysis, model development, and collaborating with cross-functional teams, while under supervision and mentorship.

As a Data Scientist II, you will analyze large datasets, build predictive models, develop data pipelines, mentor juniors, and present findings to stakeholders.

The Data Scientist will analyze complex data to derive insights, design data pipelines, and manage ML projects focusing on national security operations.

Join the Data Science team to develop analytical models. Responsibilities include learning modeling techniques, coding in Python, and communicating results. Collaborate with senior scientists and contribute to projects with increasing independence.

The Data Scientist will lead a team, design solutions using Databricks, analyze data models, and support IT modernization efforts.

The Data Scientist will facilitate the adoption of NEXUS by deploying use cases in production, benchmarking, collaborating on product insights, and managing customer relations across stakeholders.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

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

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

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Data Scientist role focuses on designing and applying advanced analytical models to transform data into actionable insights, using visualization techniques and embedding analytics in business processes.

As a Principal Data Scientist, you will develop machine learning models, collaborate with cross-functional teams, and interpret data insights to enhance customer management decisions.

As a Staff Data Scientist, you will lead data science initiatives, mentor team members, design algorithms, and collaborate with cross-functional teams to implement machine learning solutions.

As a Senior Data Scientist in the MAQR group, you'll develop AI/ML models to enhance business decisions, collaborating cross-functionally to drive innovation in financial services.

As a Staff Data Scientist, lead data science initiatives, develop AI/ML models, mentor team members, and drive data-driven strategy and decision-making.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Develop predictive models to enhance customer experience, revenue, and data insights while collaborating with clients and teams across the company.