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As a Data Scientist II at WHOOP, you will develop algorithms utilizing wearable sensor data to generate insights on health and performance. Collaboration with MLOps, product managers, and other scientists is essential to design, train, and deploy machine learning models that analyze sleep and training information.
As a Senior Data Scientist at Capital One, you will partner with cross-functional teams to deliver AI-powered solutions, leveraging advanced technologies for insights in large data sets. You will build and fine-tune NLP models for customer-facing applications, ensuring scalability and operational effectiveness in a customer-centric environment.
As a Data Scientist at Twitch, you will enhance product performance measurement, lead analytics methods, and support community safety. Responsibilities include conducting A/B tests, producing reports, and translating product questions into metrics. You'll collaborate closely with product teams to improve community interactions, influence product design, and ensure data-driven decision-making.
As a Principal Associate, Data Scientist, you will collaborate with cross-functional teams to design and implement machine learning models, using advanced technologies to analyze large volumes of data and improve customer management decisions.
The Principal Associate, Data Scientist will work with a cross-functional team to build machine learning models that enhance customer management decisions. The role involves model development, deployment, monitoring, and using various technologies to analyze large datasets, aiming to improve user experience and drive business goals.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical and data mining techniques on large datasets, evaluate emerging technologies, and contribute to thought leadership through research and publication.
As a Data Scientist, you'll collaborate with cross-functional teams to deliver machine learning models for customer management. Your role will involve building models, leveraging various technologies to analyze data, and translating complex insights into business goals.
The Principal Data Scientist will analyze customer interactions to identify friction points, influence strategy with data-driven insights, develop machine learning models, and nurture a strong Data Science team by providing training and mentoring.
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The Lead Data Scientist will lead model development and team mentorship in the data science team, focusing on search and recommendation products. The role involves applying advanced data science methodologies, collaborating with business partners, and ensuring effective model implementation while managing risks associated with production models.
The Senior Associate, Data Scientist will collaborate with cross-functional teams to develop and implement machine learning models that drive customer management decisions at Capital One. Responsibilities include data analysis, model development, and translating complex data insights into business strategies.
As a Principal Data Scientist at Rokt, you will oversee the health and growth of the marketplace by defining key metrics, conducting market analyses, collaborating with stakeholders to shape strategy, and supporting high-impact product launches.
As a Staff Data Scientist, you will lead the Member Data Scientist team to drive growth, engagement, and retention strategies through data analysis, statistical modeling, and machine learning. You'll mentor junior scientists, develop machine learning models, and communicate insights effectively to stakeholders.
As a Senior Associate, Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to build machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large data sets, focusing on model development and deployment while translating technical complexities into business objectives.
The Data Scientist will perform data analysis, evaluate machine learning algorithms, and develop advanced algorithms. Responsibilities include algorithm transition to software applications, collaboration with teams and stakeholders, and researching new methods for data analysis and machine learning.
The Software Manager for Data Analytics leads a team in transforming data into actionable insights, designs visualization systems, and communicates with decision-makers. Responsibilities include optimizing data strategies, managing team performance, and ensuring data privacy compliance. The role necessitates a successful track record in program management and effective interpersonal skills.
The Software Manager for Data Analytics will lead data engineering and data science initiatives, mentored by guiding team members and facilitating communication with the Product Owner and customers. Responsibilities include developing strategies for data pipelines, adhering to standards, and overseeing project execution. Ensuring successful data transformation and loading processes is also key, along with managing a technical team's performance.
As a Principal Associate Data Scientist, you'll lead the development of machine learning models to enhance customer management decisions at Capital One. You will collaborate with engineers and product managers to utilize technologies like Python and AWS to extract insights from large datasets, build and implement models, and ensure a seamless user experience.
As a Principal Data Scientist at Atlassian, you will collaborate with cross-functional teams to address business challenges using quantitative analysis and statistical methods. You'll develop hypotheses, measure key product metrics, and communicate insights through storytelling, ultimately influencing product development and strategic decisions.
In this role, you will work with distressed companies, creating ETL workflows, statistical models, and visualizations. You'll analyze data, optimize machine learning classifiers, and build effective ETL processes while collaborating with diverse teams to solve complex data challenges.
In this role, you will analyze large datasets to derive insights that improve customer experiences, implement statistical modeling techniques, design and analyze experiments, collaborate with cross-functional teams, and build data visualizations. You will play a critical role in monitoring metrics that drive strategic business initiatives.
As a Data Scientist II, you will contribute to analytic teams, manage data on the cloud, and improve ML models while mentoring junior scientists. Your role involves data manipulation using Snowflake and AWS, big data processing with Hadoop and Spark, and creating visualizations with PowerBI.
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and support A/B testing for the Data Science team's projects. They will collaborate with engineers and other stakeholders to design and implement machine learning solutions, communicating findings effectively to varied audiences.
As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with cross-functional teams, and provide actionable insights to enterprise customers using data-driven strategies, leveraging Python, SQL, and data visualization tools.
The Sr. Data Scientist will create and enhance fleet management practices, develop simulation experiments, and assist in identifying key metrics for supply chain effectiveness, while collaborating across teams to leverage operational research in improving business impact.
As a Senior Manager, Data Scientist at Capital One, you'll lead a cross-functional team to build machine learning models that enhance customer management. You'll utilize a broad tech stack, develop models through all phases, and translate complex data insights into actionable business decisions.
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