Get the job you really want.
Top Data Science Jobs
The Lead Data Scientist at HCSC is responsible for using advanced statistical methods to analyze data, construct predictive models, and support data-driven decision-making. This includes designing experiments, integrating data, improving analytic quality, and leading projects while providing strategic directions to the business.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
The Senior Data Scientist will model complex enterprise problems, utilizing machine learning and statistical techniques to optimize inventory and assortment strategies. The role includes developing and deploying machine learning models on Google Cloud Platform, mentoring junior team members, and collaborating with cross-functional teams to improve data-driven decision-making.
As a Data Scientist, you will leverage analytics, data mining, and machine learning to develop predictive models, improve decision systems, and drive business growth. Your responsibilities include data exploration, implementing experiments, and utilizing advanced analytics technologies to enhance customer service and business processes.
The Principal Data Scientist will apply AI/ML and analytics expertise to create analytics products in digital health, working with digital product managers, data engineers, and business partners. Responsibilities include designing models, driving actionable insights from data, promoting data-driven decision-making, and mentoring junior team members in a fast-growing digital health team.
The Senior Data Scientist leads data science initiatives in healthcare, developing and implementing complex AI models. This role includes project management from design to deployment, collaboration with teams to ensure project success, and mentoring junior scientists. The position focuses on translating technical findings to actionable insights for stakeholders, optimizing models, and fostering a culture of data-driven innovation.
The Tennis Data Scientist will develop and enhance machine learning and statistical models for predictive sports analytics products. Responsibilities include improving model performance through experimentation, analyzing results to identify weaknesses, and collaborating with other teams for model deployment while documenting work for stakeholders.
As a Data Scientist at Ascend Analytics, you will collaborate with the SmartBidder team to optimize software solutions and conduct data analysis for renewable energy sources. Responsibilities include prototyping machine learning models, enhancing code efficiency, integrating data sources, and communicating with both technical teams and stakeholders.
Featured Jobs
As a Senior Data Scientist at Haus, you will build and deploy models, drive experimentation, and lead a team while collaborating with cross-functional teams to deliver meaningful insights for enterprise clients. You will enhance the GeoLift model and ensure high-quality results through rigorous statistical evaluations and innovative tools.
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.
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.
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.
_0.png)
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.
_0.png)
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.
_1.png)
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.
Top Companies Hiring Data Scientists
See All
Popular Job Searches
All Data & Analytics Jobs
Analysis Reporting Jobs
Analytics Jobs
Business Intelligence Jobs
Data Engineer Jobs
Data Science Jobs
Machine Learning Jobs
Data Management Jobs
Business Analyst Jobs
Business Systems Analyst Jobs
Compliance Analyst Jobs
Data Analyst Jobs
Database Administrator Jobs
GIS Analyst Jobs
Machine Learning Engineer Jobs
Research Associate Jobs
Supply Chain Analyst Jobs
Systems Analyst Jobs
All Filters
No Results
No Results
