Top Data & Analytics Jobs

The Data Science Manager will lead and develop a team of data scientists, manage projects, and use advanced data analysis to provide insights. The role requires collaboration with customers to understand their data needs and executing a data science strategy that aligns with business objectives.

The Senior Scientist/Principal Scientist will develop and apply computational skills to analyze biological data, focusing on biomarkers and machine learning models for disease progression. Responsibilities include data insight generation, robust model development, and effective communication of findings to a multi-disciplinary team.

The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.

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.

The Senior Associate, Data Scientist will use machine learning technologies and statistical modeling to analyze large volumes of data for customer management decisions. Responsibilities include developing models from design to implementation and collaborating with cross-functional teams to deliver valuable customer insights.

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.

As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.

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.

As a Senior Associate, Data Scientist, you will partner with a cross-functional team to build and implement machine learning models. You will work with large datasets to extract insights, enhance customer management decisions, and translate your findings into actionable business goals.