Top Data Science Jobs in Valencia
The Engineering Leader will lead the Wind Asset Advisory team in EMEA, managing a team of 17 engineers and technicians, ensuring project profitability, collaborating with sales for technical support, and maintaining customer relationships. Responsible for budget and P&L management, the role includes promoting UL expertise through training and representation at industry events.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
As a Senior Analytics Engineer, you will manage the dbt environment, optimize data models for efficiency, support data science initiatives, and work with engineering teams to model event data, ensuring data integrity and quality across the organization.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
The Senior Data Scientist will develop AI solutions, build production-level ML models, and ensure their deployment and monitoring. This includes data analysis, model training, and optimizing models for production while collaborating within a multi-disciplinary team in an agile environment.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
As a Senior Applied Data Scientist at PriceHubble, you will design, implement, and maintain ML systems, focusing on Automated Valuation Models for assessing residential property values. You will lead projects from concept to launch, ensuring high-quality products while navigating the specific needs of different markets across Europe. You will also enhance the performance and efficiency of ML models and pipelines, contributing directly to revenue growth through user-facing solutions.
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As the Analytics Engineering Lead, you will transform raw data into insightful outcomes, design data models, enhance data utilization, and collaborate with stakeholders to promote data-driven decision-making while overseeing data quality and documentation.
As an Analytics Engineer, you will develop and maintain high-quality data models using dbt, optimize SQL-based transformation pipelines, collaborate with various teams to ensure data accuracy for business reporting, and create documentation and data quality checks while mentoring junior members.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data Scientist, analyze complex datasets using statistical methods and machine learning algorithms to extract actionable insights. Develop, test, and deploy predictive models optimized for performance. Collaborate with Data Engineers to maintain data quality and consistency. Create reusable data pipelines and mentor junior team members.
The Principal Statistical Programmer leads the development and maintenance of statistical programming capabilities. Responsibilities include designing data specifications, overseeing CRO deliverables, implementing SAS programs for clinical data analysis, and collaborating with study teams for timely and quality deliverables.
As a Junior/Mid Data Analytics Engineer, you will develop and maintain reports and dashboards, conduct training sessions, engage with business stakeholders, monitor ETL processes, and explore new analytics technologies, contributing to the enhancement of data visualization and analysis within the organization.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
The Senior Data Engineer at Emburse will develop data pipelines and systems for the company's SaaS products, ensuring data security and supporting data science efforts. Responsibilities include building analytical tools, automating processes, collaborating with teams, and optimizing data workflows. The role involves mentoring junior engineers and contributing to technical documentation.
Senior Data Scientist role at Fever, a leading global live-entertainment discovery tech platform. Responsibilities include working on data projects to improve decision-making, collaborating with business teams, and contributing to core personalization technologies. Opportunity to define the scope and strategy of the Data Science function. Ideal candidate has solid math, statistics, and Machine Learning fundamentals at MSc or PhD level.
The role involves participating in the design and development of AI solutions, training and deploying ML models, managing software engineering challenges in AI, and working in a multidisciplinary team on production level ML/AI solutions. Requires strong experience in AI, machine learning, computer vision, and MLOps processes.
Join Reverse Tech as a Data Engineer, responsible for building and scaling the data platform. You'll load data into BigQuery, manage data jobs, implement reverse ETL processes, and develop connectors with external data sources to support analytics.
You will develop AI solutions, build production-level ML/AI products, and participate in MLOps. Responsibilities include data analysis, model training, and deployment in a production environment, focusing on machine learning and deep learning techniques.
The Analytics Engineer will analyze data to support decision-making across the organization, define key metrics, design dashboards, and communicate insights to management. They will collaborate with various departments and utilize SQL, Python, and visualization tools to enhance customer experiences and drive business initiatives.
The Senior Data Support Engineer role involves developing data engineering solutions, including data manipulation, modeling, and transformation using various tools and technologies. Responsibilities include supporting QA processes and user acceptance testing, as well as collaborating with teams to deliver complex data projects.
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