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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.
As a Senior Research Data Scientist, you will lead the Traceability team, developing models and algorithms to detect cryptocurrency fraud and financial crime. You will collaborate with engineers and research scientists, analyze complex data structures, and research methods to extract insights from blockchain data.
As a Data Science Tech Lead Manager, you will lead a team of data scientists to enhance AI products for knowledge workers by defining data strategies, managing performance metrics, oversight of experimentation methodologies, and collaborating with cross-functional teams. You will act as a point of contact for high-profile initiatives and present insights to leadership.
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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 Lead Data Science Product Manager will design new AI and data science products, engage with senior leadership to tackle business challenges, and oversee product roadmaps, delivering solutions that improve decision-making. The role involves cross-functional collaboration, requirements gathering, and providing leadership for AI initiatives.
The Data Scientist will solve healthcare problems using machine learning and predictive modeling. Responsibilities include collaborating with teams to design and implement models, exploring data, creating hypotheses, and translating healthcare issues into mathematical frameworks. The role requires statistical techniques competency and experience with data processing and analysis.
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.
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The role involves working as a responsible ML data science engineer, focusing on ensuring ethical AI deployment through collaboration with various teams. Key tasks include assessing machine learning techniques, building datasets, participating in technical discussions, creating notebooks, and developing metrics to enhance model fairness and safety.
The Senior Staff Engineer - Data Scientist will work on product support and development, perform data analysis on large datasets, develop statistical models, and collaborate with stakeholders to deploy practical analytical solutions. They will analyze trends, automate data collection processes, and communicate insights to drive business results.
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 Scientist I, you will collaborate with cross-functional teams to drive data-driven solutions. You will work on machine learning projects, A/B testing, and assist in developing products that enhance data-driven decision-making. Your role will involve identifying data opportunities and implementing strategies that impact business outcomes.
The Associate Data Scientist will apply machine learning and analytics to enhance healthcare delivery and operational efficiency. Responsibilities include analyzing patient data, developing reports, communicating insights, and collaborating with product teams while supporting a mission-driven company culture.
The Senior Data Scientist will apply machine learning and deep learning techniques to drive business impact. Responsibilities include analytical modeling, deep learning, model assessment, validation, deployment, and data visualization, while collaborating with teams to generate actionable insights across the organization.
The Sr. Data Scientist, Pricing Algorithms at CarMax is responsible for developing and improving predictive pricing models, ensuring their effective deployment to drive business decisions. This role involves collaboration with analysts and using advanced data science techniques to unlock business value from innovations in pricing strategies.
The Staff Data Scientist will be responsible for collecting, cleaning, analyzing big data, and implementing Big Data strategies. They will work collaboratively to design and deploy data science solutions, create visualizations, and ensure data quality while driving data-driven decision-making processes.
As a Data Scientist III at Meijer, you will lead advanced data science initiatives, developing machine learning and AI solutions to drive business value and customer experience. You'll collaborate with various teams, build data science pipelines, and ensure best practices in ML/AI development, while monitoring key performance indicators.
The Lead Data Scientist will enhance the Fingerprint Pro Identification Service using advanced data science and machine learning techniques in real-time settings. Responsibilities include developing algorithms, leading projects, mentoring team members, conducting exploratory analyses, and fostering a data-driven culture within the engineering team.
In this role, the Data Scientist will model RSSI-BLE signals, analyze real-time sensor data, and leverage machine learning to deliver insights. They will collaborate with product leaders to enhance features and solve business problems using data-driven analytics.
The Senior Staff Engineer - Data Scientist will develop products and perform data analysis on large datasets. They will build statistical models, optimize processes, and work with stakeholders to provide analytical solutions and business insights. Collaboration with engineering and product teams is essential to deploy these solutions effectively.
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.
As a Data Scientist, you will analyze healthcare data, create project charters, collaborate with teams for data integrity, and provide recommendations based on analysis. Responsibilities include managing analyses, ensuring quality controls, and delivering results to clients.
The NHL Data Scientist will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, performance analysis, collaboration with data engineering, and documentation of modeling work.
The NGSE Data Scientist will support US Sales Operations by analyzing data to generate insights for revenue opportunities and business behavior trends. Using advanced analytics, machine learning, and data visualization, the candidate will create models and dashboards that assist sales optimization and performance management across Zoetis.
The NFL Data Scientist role involves developing and improving machine learning and statistical models for sports betting products, collaborating across teams to deliver effective solutions, and improving model performance through experimentation and analysis. Strong documentation and communication skills are essential, along with expertise in data analytics and related technologies.
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