Top Data Science Jobs

The Data Science Lead Analyst will evaluate generative AI applications for compliance with fair lending regulations. Responsibilities include designing and maintaining compliance programs, developing methodologies for evaluating AI applications, and collaborating across departments to address compliance issues. The role also involves statistical analysis and assisting with regulatory inquiries.

The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.

As a Senior Associate, Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to build machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large data sets, focusing on model development and deployment while translating technical complexities into business objectives.

As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.

As a Senior Analyst in Credit Risk Management, you will analyze data to improve credit strategies and policies, develop predictive models, and present actionable insights. You'll work collaboratively with other analysts and stakeholders to enhance risk management and decision-making processes.

As a Principal Associate Data Scientist, you'll lead the development of machine learning models to enhance customer management decisions at Capital One. You will collaborate with engineers and product managers to utilize technologies like Python and AWS to extract insights from large datasets, build and implement models, and ensure a seamless user experience.

As a Data Science Consultant, you will analyze business problems, create actionable data science roadmaps, communicate methodologies to non-technical audiences, and identify appropriate data science solutions while collaborating on end-to-end solutions with digital design and engineering practices.

Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.

The Senior Manager of Checkout Analytics will drive data-driven decision-making by generating insights from large datasets, collaborating with product managers, creating executive-facing dashboards, and mentoring team members. The role involves analyzing merchant product performance, synthesizing data to provide recommendations, and guiding best practices for analytics instrumentation.

Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.

As a Data Science Manager at League Studio, you will lead a team to drive data science projects focused on enhancing player experiences. Responsibilities include team leadership, project management, stakeholder communication, and ensuring high standards of data science delivery. You will mentor team members and foster a collaborative environment while aligning with organizational goals.

The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.

The Data Scientist II at Caterpillar Inc. collaborates with analytics teams to develop data-driven solutions using quantitative methods. Responsibilities include data manipulation and management in a cloud environment, model building with Machine Learning and NLP, and communicating findings through data visualizations and dashboards. The role also involves mentoring junior staff and contributing to the integration and improvement of data pipelines.

As a Senior Manager, Data Scientist at Capital One, you'll lead a cross-functional team to build machine learning models that enhance customer management. You'll utilize a broad tech stack, develop models through all phases, and translate complex data insights into actionable business decisions.

The Staff Software Engineer will lead R&D for data science-powered products, collaborate with engineering and product teams to move concepts to production, and provide technical expertise to stakeholders. Responsibilities include implementing data science solutions and educating team members on using data in marketing.

The Mid-level Data Scientist at BAE Systems will conduct data analytics and engineering in a classified environment, creating data packages, extracting features from varied data sources, and leveraging algorithms for text and audio analysis, while adhering to classification guidelines.

As a Senior Associate Data Scientist, you will collaborate with cross-functional teams to develop machine learning models, translating complex data into actionable insights. You will own the entire model lifecycle, from development to implementation, leveraging technologies like Python and AWS to drive data-driven decision-making for customer management.