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The Applied Data Scientist will develop data processing strategies, extract and format data, conduct exploratory analyses, and create interactive scientific applications using R Shiny. This role involves collaborating with scientists and sharing insights to support biomedical decision-making.
As a Principal Data Scientist, you'll lead cross-functional teams to innovate AspenTech's Digital Grid Management solutions. This role involves developing machine learning algorithms, collaborating with stakeholders to enhance AI integration, and assessing new technologies for software applications in the energy sector.
The Data Scientist II at Socure will develop and manage large-scale data processing pipelines, analyze business needs to create scalable solutions, and support big data analytics by building machine learning models and evaluating new data sources in a fast-paced startup environment.
The Senior Data Scientist will support the DoD's adoption of data and AI by designing and optimizing machine learning models, collaborating with cross-functional teams, managing AI/ML components, and addressing data challenges for defense and intelligence functions.
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As a Staff Data Scientist focused on experimentation and causal inference, you will collaborate with engineering teams to develop methods and tools for Airbnb's experimentation platform. Your work will include building Bayesian inference models, bias correction for marketplace experiments, and optimizing ML/AI model testing. You'll also communicate effectively with both technical and non-technical stakeholders to drive best practices across the organization.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
Collaborate with customers to understand data needs, develop and implement data systems, perform statistical analysis, and provide data visualizations. Requires Top Secret Clearance, Bachelor's degree in Computer Science, and 10 years of experience in AI, statistics, and data modeling.
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As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
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As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.
As a Data Scientist at Fors Marsh, you will support research efforts by collaborating on analysis plans, managing datasets, preparing reports, and ensuring quality control of quantitative research. Your role will also involve contributing to business development and participating in project meetings.
As a Senior Data Scientist, you will lead technical efforts to create innovative machine learning solutions, collaborate on technology strategies, and explore new technologies. You will work closely with engineers, data scientists, and stakeholders to drive advancements in AspenTech’s Engineering Design and Simulation suite.
The Senior Data Scientist will lead analytics and growth strategies, manage large data sets, develop statistical models and machine learning algorithms, and provide insights to drive business growth. They will collaborate with teams from sales, marketing, and engineering to produce data-driven solutions and communicate insights effectively.
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As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
The Staff Data Scientist will drive improvements in brand marketing measurement and develop insights for optimized campaign planning. Responsibilities include applying causal inference techniques, designing experiments for digital marketing effectiveness, leveraging machine learning to analyze user behavior, and collaborating with stakeholders to enhance marketing strategies.
The Expert Data Scientist will leverage Machine Learning and Big Data technologies to develop scalable data products using tools like Adobe Journey Analytics and Databricks. Responsibilities include building and optimizing machine learning models, collaborating with stakeholders to meet business goals, and mentoring junior data scientists.
The Principal Data Scientist will lead AI explorations, develop and deploy AI/ML models, and collaborate on innovative solutions to enhance the security and safety of Walmart's operations. They are responsible for overseeing the implementation of machine learning products and fostering collaboration across teams.
As a Principal Data Scientist at Aircall, you will lead initiatives using machine learning and AI to optimize operations. Responsibilities include managing the lifecycle of projects, educating teams on best practices, collaborating with engineers, and ensuring data governance. You will also mentor other team members and communicate insights to stakeholders.
The Data Scientist will lead teams in implementing data analytics projects, utilizing advanced techniques in data manipulation and analysis. Responsibilities include developing SQL queries, optimizing data models, and providing strategic insights into complex IT systems. The role emphasizes expertise in handling both small and large data environments.
The Sr. Data Scientist will develop and improve predictive models for pricing algorithms at CarMax, focusing on feature engineering and incorporating new insights. Responsibilities include leveraging statistical and machine learning techniques, conducting controlled experiments, and communicating findings to senior leaders to drive business change.
The Senior Data Scientist will build predictive and optimization models to enhance internal business operations and financial health. Responsibilities include developing models for customer revenue prediction, implementing time series forecasting, and collaborating with data engineers to implement ML algorithms. The role requires proficiency in statistics, data structures, and machine learning.
As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.
As a Staff Data Scientist, you'll lead data research and analysis, develop and validate models for business objectives, collaborate on production-grade data products, and contribute to building a data science practice at Grid.
The Data Scientist will support USSOCOM by integrating advanced analytical techniques for big data analysis and conducting experiments. Responsibilities include data interpretation, coordination of analytic activities, and collaboration with data engineers and analysts to develop data solutions and algorithms. Candidates must have a background in data science with hands-on experience and familiarity with programming languages.
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