Top Hybrid Data Science Jobs
As a Lead Data Scientist at Brigit, you'll develop and maintain models to assess credit risk, optimize marketing spend, and reduce customer churn. You'll leverage rich data sources, collaborate with product and engineering teams, and utilize machine learning techniques to enhance financial services for customers living paycheck to paycheck.
You will create model serving solutions with NVIDIA Triton, construct GenAI infrastructure using Ray and vLLM, design feature extraction algorithms, and manage data pipelines using frameworks like Hadoop and Spark, while collaborating with various teams at Walmart to enhance marketing strategies.
The Principal Data Scientist will lead AI explorations and develop machine learning models to enhance Walmart's security platforms. Responsibilities include overseeing project lifecycles, collaborating with teams, building MLOps frameworks, and optimizing data and model performance.
As a Computer Vision Engineer, you will design, train, and deploy AI models, focusing on computer vision algorithms for retail applications. Collaborate with technology groups to enhance customer experiences, ensure model robustness, and contribute to software development. Candidates should have experience in machine learning and relevant programming languages.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
Featured Jobs
As a Marketing Science Analyst, you will collect and analyze consumer behavior and campaign performance data using proprietary tools. You will develop statistical models, collaborate with a team to drive insights, and present findings through dashboards. This role is critical for aiding clients in informed decision-making and optimizing business performance.
The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.
As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
Sr. Data Scientist, Analytics - Ads role at Quizlet, working on building an amazing ads product for users and advertisers by leveraging insights from ads and user engagement data. Responsible for A/B testing, presenting insights, informing product roadmap, and collaborating with cross-functional teams.
The Data Scientist will create analytical tools and products, working with clients to develop insights and improve business results. Responsibilities include client collaboration, developing predictive models, validating existing models, and managing multiple projects.
The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.
Design, build, and deploy complex systems to model and glean insights from large datasets using machine learning and statistical modeling. Collaborate with cross-functional teams to implement data-driven solutions. Apply innovative machine learning techniques to solve complex problems in adtech.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
The Senior Consultant leads clients through transformational data and analytics strategies, collaborates with leaders to address business challenges, and contributes to consulting practice enhancement while managing teams on analytics initiatives.
As a Data and Analytics Senior Consultant, you will lead transformational change by designing and executing data and analytics strategies, collaborating with customers to address business challenges, and contributing to the growth of the consulting practice through exceptional service and business development.
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