Top Data Science Jobs in Dublin
Looking for an experienced Data Science Lead to drive data science initiatives, deliver impactful insights, and enhance the accuracy of digital twin model. Collaborate with teams, develop data strategies, and mentor data scientists. Remote work with concentrations in New York and Europe.
Lead Data Scientist at Integral Ad Science working on challenging technical problems in brand safety using ML/DL models at scale for image/video classification. Collaborating with cross-functional partners to deliver solutions within strict timelines and contributing to the company's core products.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
The Staff, Data Scientist at People.AI is responsible for identifying data sources, developing data strategies, assessing and validating models, visualizing data, understanding business context, and solving complex business issues through data-driven insights.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Manage enterprise service management data, ensure quality and integrity, collaborate on data governance policies, monitor data quality metrics, facilitate data cleansing activities, provide guidance on data governance best practices.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Join Remote as a Senior Analytics Engineer to support decision making and reporting needs by translating data into actionable insights for non-data professionals. Work with a remote team using SQL, dbt, Python, and other tools to provide clean and reliable data.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Seeking an experienced Analytics Engineer to develop and maintain scalable data models, optimize SQL-based transformation pipelines, collaborate with stakeholders, implement data quality checks, and mentor team members. Requires fluency in SQL, experience with data modeling tools like dbt, familiarity with BI tools, communication skills, and experience in a remote-first environment.
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.
Seeking a motivated Associate Team Lead to join the Data Engineering team at Remote. Responsibilities include overseeing and mentoring a group of engineers to deliver high-quality data products and solutions. Requires solid experience with data platform tooling, strong communication skills, and the ability to work independently.
Seeking a Senior Data Engineer to optimize data collection and flow, automate processes, develop BI solutions, and maintain data models. Requires SQL, UNIX, Python, GCP, BI platform proficiency, and problem-solving skills.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
Design, construct, and manage scalable data architectures aligned with the organization's strategy. Evaluate feasibility, provide recommendations, collaborate with governance teams, offer expert consultation, and continuously enhance data architecture artifacts. Collaborate with business units and implement data models to meet objectives.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.
Develop and implement data-driven methods to measure and monitor credit risk, utilize advanced statistical and machine learning methods, collaborate with stakeholders, and drive innovation in risk decision making.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Lead initiatives to modernize data infrastructure, collaborate with engineering, manage data sources, work on data modeling and pipeline development, collaborate with teams to provide insights, and ensure data accuracy.
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