Top Data & Analytics Jobs

As a Sr. Data Science Solution Architect, you will lead the vision and solutions in healthcare data applications, providing technical leadership in machine learning and AI. Collaborate with teams to develop ML models, ensuring data quality and compliance with healthcare regulations, while mentoring others and driving innovation in healthcare workflows.

The role involves leading a data science team to develop and implement predictive models and optimization frameworks to enhance Carvana's marketplace operations. Key tasks include analyzing complex data sets, delivering impactful insights to various departments, and managing trade-offs in inventory and auction strategies.

The Data Science Manager II will lead a team responsible for enhancing marketing strategies and optimizing operational processes through advanced quantitative methods. This role involves collaboration with cross-functional teams and coaching team members to improve performance while driving clarity and alignment in communications.

The Senior Healthcare Data Scientist at Particle Health will analyze healthcare data, create new insights, and build data products. Responsibilities include defining models, collaborating with engineering to produce analytical products, and contributing to AI and NLP projects while ensuring the data's usability for clinical insights.

The Lead Data Scientist will partner with various teams at Disney+ to develop machine learning models, analyze subscriber data, create visualizations, and collaborate with stakeholders to leverage data for business insights. Responsibilities include model design, deep analysis of data sets, development of prototypes, and improving platform capabilities.

As a Principal Associate Data Scientist at Capital One, you will partner with cross-functional teams to identify and quantify model risks, leverage technologies like Python and AWS to analyze large data sets, build machine learning models, and present model risk impacts to executives.

The Principal Associate Data Scientist will utilize analytical and technical expertise to create and manage data solutions that address business challenges within Card underwriting. Responsibilities include analyzing credit bureau data, presenting insights to stakeholders, and maintaining production-level monitoring of data processes.

As a Staff Data Scientist, you will lead data science initiatives, manage the data science lifecycle, and collaborate with leadership to develop impactful solutions. You'll translate complex analyses into actionable insights, shape data strategy, and foster a data-driven culture within the organization. Additionally, you'll innovate using AI and machine learning techniques to solve business challenges.

As a Principal Associate Data Scientist at Capital One, you will drive decisions using models, partner with cross-functional teams to assess model risks, and utilize technologies like Python and AWS to gain insights from data. You will also present findings to executives and contribute to model validation and development.

Lead a team of data scientists to support marketing campaigns at Spotify. Collaborate with cross-functional teams, define metrics, and manage data infrastructure. Deliver insights and recommendations to enhance marketing strategies while mentoring team members.

The Data Science Manager - Procurement leads advanced analytics initiatives to improve procurement efficiency and decision-making. Responsibilities include developing analytics programs, aligning risk management strategies with business objectives, integrating AI technologies, and fostering a culture of innovation and collaboration within the team.

The Lead Data Science Product Manager will oversee AI and analytic solutions in the Claims and Payment Integrity domain, leading cross-functional teams to design, implement, and manage data science products. This role requires collaboration with various stakeholders, ensuring solutions meet business needs and provide measurable value, while maintaining product roadmaps and backlog management.

The Data Science Consultant leverages analytical skills to bridge the gap between data science and business needs, translating insights into strategies. Responsibilities include collaborating with stakeholders, driving analytics projects, optimizing pricing and menu performance, and communicating data-driven solutions effectively.

The ML Data Science Engineer will focus on responsible AI, ensuring the development and deployment of foundation and predictive models align with ethical guidelines. Responsibilities include collaborating with teams to mitigate bias, building datasets, implementing models using various tools, developing metrics, and leading discussions on AI investments for fairness and safety.

The Senior Data Science Engineer will lead the end-to-end development and deployment of machine learning models, ensuring their performance through testing and optimization. Responsibilities include data extraction and cleaning, model tuning, creating prototypes, and collaborating with cross-functional teams to support data infrastructure needs.

As a Data Science Consultant, you will analyze business problems and develop actionable Data Science roadmaps. The role involves communicating complex methodologies to non-technical audiences and collaborating on end-to-end solutions, including deploying models in cloud environments and building applications using GenAI and LLMs.

The Data Science Senior Advisor role involves utilizing data science and advanced analytics to provide insights for business leaders, collaborating on pilots for new solutions, and developing models in areas ranging from general linear models to machine learning. The position requires regular communication with stakeholders and a strong background in analytics within the insurance industry.