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The Principal Data Scientist plays a crucial role in a global tech AI health startup, focusing on applied AI in machine learning and deep learning.
This full-stack data scientist role involves end-to-end ownership of data science work, focusing on applied AI, machine learning, deep learning, ANN, and CNN platforms.
This role is for a passionate and experienced full-stack data scientist with an entrepreneurial mindset, working end-to-end in applied AI, ML, deep learning, ANN, and CNN platforms.
This role is for a passionate and experienced full-stack data scientist with an entrepreneurial mindset, working end-to-end and single-handedly or in a small team.
This role is for a Scientist I who will join an international team dedicated to improving healthcare. The core of the job involves expert execution and data analysis, with a focus on communicating findings and implementing process improvements.
This role is an integral part of the Quality team, responsible for conducting sample preparation and instrumental analysis. The position suits a scientist with strong technical expertise in analytical techniques and a commitment to producing quality data efficiently.
Developing various reports and data extractions for internal and external data users, particularly those related to front office operations like branches, e-channels, mobile wallets, and cards, is a core part of this role.
This role involves leading and developing Rowing Australia's performance intelligence, transforming complex data into actionable insights for coaches, athletes, and performance teams.
Working as a Data Scientist at DoorDash involves using quantitative skills to guide measurement, strategy, and decision-making across various teams and levels within the company.
This role involves leading analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to optimize task design.
This client-facing position involves leading the research, design, implementation, and deployment of AI models and optimization algorithms for enterprise applications on the C3 AI Platform.
Data scientists with strong machine learning design and development skills, AWS expertise, and a feature engineering background are sought by a domain leader in cloud-driven analytics.
Driving end-to-end AI and analytics initiatives is the core of this role within HKT ’s Data Monetisation Team, from framing business problems and generating insights to building and deploying scalable machine learning and AI solutions.
This role is for a Data Scientist or Senior Data Scientist who will use data mining, statistical analysis, and predictive modeling to help clients make smarter business decisions.
This Data Scientist role is for an analytical powerhouse and first principles problem solver who will drive data and insights, inform decision-making across every corner of the business, and push forward important initiatives across product, growth, tech, and operations.
Decision scientists apply mathematical modeling, optimization, statistics, and machine learning to complex business challenges. This role focuses on decision science applications related to revenue management, forecasting, pricing, resource allocation, and optimization, operating at the…
This scientist will develop robust, user-centered automation workflows for cryogenic electron microscopy (cryoEM) data processing, reporting, and scientific decision support.
This role seeks an experienced researcher with a strong background in tropical cyclone research and product development to join the Cooperative Institute for Meteorological Satellite Studies (CIMSS) tropical cyclone research team.
This role is for a Scientist to develop and implement new Oral Care formulas for North America. The position involves leading experimental designs, creating lab and pilot batches, and supporting plant trial batches.
Developing and implementing advanced data science algorithms and systems is at the core of this role, which focuses on extracting meaningful insights from complex data to address critical client questions.
This Data Scientist role involves leveraging large-scale datasets to drive mission-critical business strategy. It requires a practitioner who can navigate the entire lifecycle of a data project, from raw data extraction to the deployment of production-grade machine learning models.
Developing and deploying AI-driven Machine Health Models for predictive maintenance, equipment health monitoring, and production quality improvement is a key focus of this Data Scientist role.
Discovering new opportunities with data science is at the core of this role, where you will deliver insights from data by optimizing the analysis process and presenting visual data representations.
Working to build the sustainable financial ecosystem of the future, this Data Scientist role involves applying artificial intelligence techniques in various areas such as marketing, control functions, and business process automation.
The Data Scientist will join Gameloft's Global Data team to analyze player data, prototype, and deploy machine learning models to increase game revenue. This role involves moving projects from exploratory analysis to deployed models across live titles, including life-simulation and racing games.
This senior data scientist role focuses on designing, implementing, and supporting MLOps infrastructure and deployment patterns. It involves building and improving CI/CD workflows, establishing training patterns, and ensuring production readiness for machine learning models.
Developing and deploying machine learning and deep learning solutions that support business goals is the core of this role. It spans the full model lifecycle, from data exploration and feature engineering through development, deployment, and monitoring, and suits a traditional Data Scientist.
This Data Scientist role involves collaborating with semiconductor manufacturing engineering teams to optimize yield and processes. The position focuses on analyzing various data sources, applying advanced analytics, and supporting experimentation to enhance process capabilities and reduce defects.
This is an exciting opportunity to work on a cross-functional team preparing data and enabling modeling activities in support of Product Development and Manufacturing Sciences organizations.
Joining ElectraNet's Network team in Adelaide, the Data Scientist will help shape the technology supporting South Australia's clean energy future. This role involves working with complex engineering data to build practical data automation, integration, and analytical solutions that improve data…
Working as a Junior Data Scientist, you will join the Airbus Human Resources (HR) community and contribute to its digital transformation. This role involves strengthening data science capabilities within the People Analytics team by building predictive scenarios for key projects.
This Data Scientist role at Eni Plenitude France focuses on designing, developing, and deploying Machine Learning, Deep Learning, and Generative AI solutions to tackle business challenges.
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. As the Lead Data Scientist, you are responsible for leading the development of data-driven solutions for Spectrum Reach’s advertising sales business.
Stepping into the role of a Data Scientist at Ericsson offers an exciting opportunity to develop unique machine learning solutions that address complex business issues.
Developing models and turning complex data into reliable business solutions is the core of this Data Scientist role, which focuses on advanced analytics.
Driving excellence and standardization across the data science team is a core part of this role, with a focus on skills development, training, and career progression.
This Data Scientist role is within the world-class Entity Resolution/Keying & Linking team at Equifax, part of Global Data & Analytics. It involves manipulating large datasets, integrating diverse data sources, and developing analytical approaches to meet business requirements.
This Data Scientist role involves exploring, experimenting with, and building critical, scalable, and high-value data science solutions. The successful candidate will work closely with business and engineering teams, gaining deep exposure to business objectives, technical architecture, and…
This night-shift post on the cardiac ward pairs patient care with mentoring new nurses. This role will operate as a versatile technical problem-solver, developing solutions for a wide range of business challenges rather than supporting one specific product or functional area.
This Data Engineer role involves designing, developing, and maintaining robust data pipelines and systems. The work enables various teams, including Data Science, Engineering, Product, and Operations, to make informed, data-driven decisions.
Working closely with Product, Engineering, Operations, and business teams, the Data Scientist analyzes complex datasets, develops predictive models, identifies trends, and builds data-driven solutions that improve Ever’s automotive retail platform.
This Data Scientist role involves working on complex, data-heavy features and defining what a great AI-first product looks like within a high-energy product and engineering team.
The Data Scientist will collaborate with multidisciplinary teams, business stakeholders, and external partners to apply advanced analytics, statistical methods, and machine learning techniques to address complex business challenges and support data-driven decision-making.
The Data Scientist will independently drive projects from business questions to product recommendations, combining strong statistical skills, creative thinking, and fast execution.
Working with data connected to services that millions of people and businesses across the UK rely on every day, this role applies solid data science practice in a clear, meaningful setting. You will help shape how the company uses data and AI across a trusted payments environment.
This role supports the Center of Excellence on Digital Health Innovation's research and translational mission by conducting and supporting quantitative and computational research across biomedical, clinical, and population health.
Applying data science, analytics, machine learning, and AI to improve customer experiences, products, and business operations is the core of this role.
Developing dynamic visualizations for executive-level consumption and interpreting complex datasets to provide actionable insights for senior leadership decision-making is at the core of this Data Scientist role.
The Data Scientist will support observational research initiatives by transforming complex healthcare data into research-ready datasets, executing statistical analyses, and contributing to the development of reproducible analytical workflows that support evidence generation and healthcare…
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies.