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Data Scientist Buscamos un/a Consultor de Datos para participar en una iniciativa estratégica de transformación analítica dentro del sector financiero, enfocada en fortalecer la toma de decisiones de negocio mediante…
About Gen Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial…
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally,…
Job title: Lead Data Scientist Location: 121 Bloor st E, Toronto, Canada (5days onsite) Summary: Our Purpose - We work to connect and power an inclusive, digital economy that benefits everyone, every where by making…
About Guideline Guideline is a global provider of ad intelligence and media plan management technology, powering the strategy, planning, and management of advertising buying and selling for the world’s leading…
The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System’s data science capabilities in support of population health, care management, and organizational…
Global Technical Talent, an Inc. 5000 Company, is seeking a Principal Data Scientist for a 12-month contract in Oakland, CA. The role requires hybrid onsite presence with roughly one day per week on site. Candidates…
Overview GSK is a place where outstanding people do amazing things. As a science-led global healthcare company, we exist to help people do more, feel better, live longer. Our goal is to be one of the most innovative,…
A leading media company is looking for a Senior Data Scientist in New York to design, develop, and deploy machine learning models that drive business outcomes. The ideal candidate will have over 7 years of experience,…
Why Here? Apple’s Apple Services Engineering (ASE) organization drives innovation for cloud-based experiences serving over a billion users worldwide, including iCloud, Photos, Mail, Messages, FaceTime, Calendar, and…
Job Description Be Part of What's Next Hearst Magazines is seeking a visionary and hands‑on Senior Data Scientist to join our dynamic Data & AI team. In this pivotal role, you will be a key player in architecting and…
Overview Principal Data Scientist job at HNTB. Austin, TX. At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been…
Curative AI, Inc. in Bellevue, WA is looking for a Principal Data Scientist to lead AI initiatives in healthcare. You’ll develop AI solutions to enhance Revenue Cycle Management and improve patient outcomes, working…
Lytica Inc. is seeking a Head of Data Science to lead the applied-research function that enhances our AI stack with measurable frameworks. The role involves designing evaluation systems and collaborating with…
At 1st Central, everything starts with our people. As one of the UK’s leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million…
Senior Data Scientist at a mobility-focused company using computer vision for digital parking, analyzing large datasets to drive revenue and improve product decisions with Python, SQL, and ML.
Builds and applies marketing-mix models to measure ad-channel effectiveness and guide marketing spend for Russia’s largest bank, using Python/R and ML tooling.
Lead a team of data scientists to drive measurable impact across Deliveroo’s marketplace by designing experiments, applying causal inference, and translating insights into product and commercial strategies.
Lead a team of data scientists to optimize Deliveroo's delivery network, balancing rider supply, consumer demand, and operational efficiency using experimentation and machine learning.
Lead a team of data scientists to optimize Deliveroo’s merchant acquisition, onboarding, retention, and operational efficiency using experimentation, causal inference, and machine learning.
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