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Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. About the AI Team Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. About the Role We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models. Responsibilities Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and operational systems Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights Ensure data governance, lineage, metadata management, and compliance Support experiment design, hypothesis testing, and statistical modeling Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring Present results and actionable recommendations to product and R&D stakeholders Required Qualifications Master’s in Data Science, Statistics, CS, EE, or related quantitative field 5+ years of experience as an applied data scientist or hybrid DS/DE role Expert proficiency in Python, SQL, and data manipulation libraries Strong background in statistics, algorithms, and data structures Experience with relational + NoSQL databases and designing scalable data architectures Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop ) Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) Experience with cloud platforms: Azure / AWS / GCP Clear track record of driving data-to-value outcomes Desired Qualifications Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor) Familiarity with deep learning frameworks and ML for time-series or unstructured data Visualization skills (e.g., Power BI, Tableau, Plotly) Knowledge of data governance, lineage, metadata management tools Experience with microservices and APIs Open-source contributions or publications Careers Privacy Statement *Keysight is an Equal Opportunity Employer.

About bestprice.com: bestprice.com is the go-to companion for price-sensitive consumers to shop in Spain. Every hour of every day, millions of people around the world are online scouring the internet for elusive coupon codes, hunting down limited-time offers, and accumulating cashback in programs that make it hard to redeem. The outcome: frustrated consumers, inefficient spending, and a huge market opportunity. Every geography has a different distribution of e-commerce stores, making it operationally hard even for large players to expand beyond their core market. There will inevitably be consolidation. In the meantime, Spanish consumers want a streamlined solution that simplifies their online shopping experience, reliably ensuring access to the most competitive deals, discounts, and cashback that is immediately redeemable, all in one place. We do the heavy lifting, combining promotions and cashback from all publicly available data, allowing users to get the best price effortlessly. The best part? It’s free. About the Role: We’re looking for a Head of Growth to lead and scale growth at bestprice.com. This is a highly strategic role for someone who deeply understands customer funnels end-to-end — from acquisition to conversion, retention, and monetization — and can translate insights into execution. You will own growth strategy across channels, build a structured experimentation engine, and manage a team focused on sustainable, data-driven growth. You’ll work closely with Product, Marketing and Partnerships to shape how bestprice.com scales in Spain and beyond. This is a role for a builder: someone who can zoom out to define the growth roadmap, and zoom in to make things happen. Key responsibilities: Growth Strategy & Funnel Ownership Own the full customer journey: acquisition → conversion → retention → monetization. Identify the biggest growth levers across the funnel and prioritize initiatives accordingly. Build a clear growth roadmap aligned with company objectives. Experimentation & Execution Drive conversion improvements through funnel analysis and lifecycle campaigns. Establish scalable processes for continuous growth iteration. Cross-Functional Leadership Partner closely with Product to shape features that drive engagement and retention. Collaborate with Operations and Partnerships to unlock new distribution and monetization opportunities. Communicate growth insights and priorities clearly to leadership and stakeholders. Team Leadership & Growth Org Building Build, manage, and mentor a high-performing Growth & Marketing team. Define team structure, roles, and operating cadence as the company scales. Create a culture of ownership, accountability, and experimentation. Metrics & Performance Management Define and track core growth KPIs (CAC, LTV, retention, conversion, cohort performance). Develop reporting frameworks that guide decision-making across the organization. Ensure growth initiatives are measurable, efficient, and scalable. Qualifications 5+ years of experience in Growth, Performance Marketing, Product Growth, or a similar role. Proven track record scaling a consumer-facing product or marketplace. Deep understanding of funnels, lifecycle growth, and retention mechanics. Strong analytical mindset — comfortable working with data, SQL/Looker is a plus. Experience managing and developing teams. Ability to operate strategically while staying hands-on when needed. Excellent communication skills across technical and non-technical audiences. Fluent in English and good understanding of Spanish. What We Offer Competitive salary + meaningful impact High ownership role with direct influence on company strategy A highly collaborative, agile, and innovation-driven environment Real career growth within a rapidly expanding company Autonomy, decision-making authority, and room to execute Office space in Barcelona Hybrid working model.

About the Role As our Accounting Supervisor , you will be the financial backbone of Wolfiek , a fast-scaling European airgun group with global ambitions. You will be responsible for Wolfiek's financial health, overseeing cash flow, compliance, contracts, and company policies, while helping to steer the company towards profitable growth. This is not a corporate controller seat. It’s a high-trust, high-autonomy role for someone who can combine accounting, legal awareness, and operational structure — and who thrives in a hands-on, founder-driven environment. You’ll be the reference for a Treasury Analyst and, Billing Analyst. You’ll have the ability to grow this team over time and bring in external experts and advisors where needed. What You’ll Own Finance FP&A (financial planning and analysis) Cashflow management Bookkeeping and accounting (Spain) Full Compliance of SI Full accounting transition from Holded (before 2026) to Odoo Admin Employment and freelance contracts Payroll coordination Monitor and enforce internal company policies Your Profile Required 3+ years of experience in accounting, ideally in e-commerce or product-based businesses Familiarity with Spanish SLU structure and EU VAT models Proven ability to manage cash, P&L, margins, and FP&A cycles Proven experience working with Odoo ERP Experience working with legal advisors and coordinating compliance (EU & US ideal) Business-level proficiency in Spanish and English (written and verbal) Process-driven, structured, and comfortable making high-trust decisions Ability to work closely with a founder team, handle ambiguity, and build systems and teams Nice to Have Experience in regulated ecommerce (airguns, medical, finance, etc.) Knowledge of Shopify, Holded, or similar stack Experience with Spanish e-commerce compliance or regulatory standards Regulatory Compliance Airgun regulations (ES, DE, EU, UK, US) Terms & conditions, return policies Customs, import, and trade compliance E-commerce law and data protection What Makes This Role Unique Fair compensation: We believe in fair pay, and this role includes an attractive performance-based bonus structure Strategic seat at the table : you’ll work directly with the CEO and CRO as we scale Wolfiek into a global, trusted brand Impact : your work will impact every customer, every product, and every euro we generate Ownership : no bureaucracy, no bloated org — you’re building the finance engine Mission : help bring safety, craftsmanship, and credibility to a niche but growing industry About Wolfiek Wolfiek is the go-to authority for premium airguns and accessories in Europe. We operate multiple specialized storefronts and are building a unified DTC platform and product line under the Wolfiek Group umbrella. With ambitions to become the most trusted and complete destination for airgun enthusiasts worldwide, we combine expert curation, tight community connection, and high-quality gear with personalized service. We're headquartered in Barcelona, with customers across Europe and plans to expand to the US in 2026.

is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models. Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and operational systems Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights Ensure data governance, lineage, metadata management, and compliance Support experiment design, hypothesis testing, and statistical modeling Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring Master’s in Data Science, Statistics, CS, EE, or related quantitative field ~5+ years of experience as an applied data scientist or hybrid DS/DE role ~ Expert proficiency in Python, SQL, and data manipulation libraries ~ Strong background in statistics, algorithms, and data structures ~ Experience with relational + NoSQL databases and designing scalable data architectures ~ Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop ) ~ Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) ~ Experience with cloud platforms: Azure / AWS / GCP ~ Clear track record of driving data-to-value outcomes wireless, electronics, semiconductor) Familiarity with deep learning frameworks and ML for time-series or unstructured data Power BI, Tableau, Plotly) Knowledge of data governance, lineage, metadata management tools

is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models. Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and operational systems Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights Ensure data governance, lineage, metadata management, and compliance Support experiment design, hypothesis testing, and statistical modeling Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring Master’s in Data Science, Statistics, CS, EE, or related quantitative field ~5+ years of experience as an applied data scientist or hybrid DS/DE role ~ Expert proficiency in Python, SQL, and data manipulation libraries ~ Strong background in statistics, algorithms, and data structures ~ Experience with relational + NoSQL databases and designing scalable data architectures ~ Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop ) ~ Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) ~ Experience with cloud platforms: Azure / AWS / GCP ~ Clear track record of driving data-to-value outcomes wireless, electronics, semiconductor) Familiarity with deep learning frameworks and ML for time-series or unstructured data Power BI, Tableau, Plotly) Knowledge of data governance, lineage, metadata management tools

is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models. Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and operational systems Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights Ensure data governance, lineage, metadata management, and compliance Support experiment design, hypothesis testing, and statistical modeling Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring Master’s in Data Science, Statistics, CS, EE, or related quantitative field ~5+ years of experience as an applied data scientist or hybrid DS/DE role ~ Expert proficiency in Python, SQL, and data manipulation libraries ~ Strong background in statistics, algorithms, and data structures ~ Experience with relational + NoSQL databases and designing scalable data architectures ~ Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop ) ~ Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) ~ Experience with cloud platforms: Azure / AWS / GCP ~ Clear track record of driving data-to-value outcomes wireless, electronics, semiconductor) Familiarity with deep learning frameworks and ML for time-series or unstructured data Power BI, Tableau, Plotly) Knowledge of data governance, lineage, metadata management tools

Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! In connection with subsequent business expansion, Intellias is strengthening the capabilities in delivery leadership. As such, we are looking for a seasoned executive to join us for a position of VP Delivery in Digital business (Head of Delivery Segment). VP Delivery strategically drives 700+ people operations with a clear focus on increasing the scale of business. The primary focus of this role is shaping the delivery strategy for ones areas of responsibility and directly contribute into company strategy as a whole. The roles objectives are connected with company top-level goals and Delivery Segment business growth. Apart of working closely with Intellias LT on shaping delivery strategy, a set of responsibilities includes supervising a large engineering organization, performance management, financial management, contribution to sales, presales as well as account growth. The role will report to C-level (Chief Delivery Officer). Responsibilities: Lead Delivery Organization: Lead a team of directors to deliver high-quality service to our cllients Develop and implement best practices and processes to continuously improve our efficiency and quality of companys services Lead the exploration and adoption of new technologies and tools to drive innovation and efficiency Foster a culture of collaboration, innovation, and continuous learning within the delivery teams Be a trustful partner for key clients and support business development: Lead collaboration with our clients to understand their business goals and help to develop tailored solutions to meet their needs Build and maintain strong relationships with key clients to ensure smooth project delivery and ongoing success Be involved in top-priority pre-sales, providing direction, guidance, and support to the team and ensure the success of our sales efforts Collaborate closely with sales and marketing teams to develop and execute effective segment strategies Keep Intellias on the edge of technology innovation: Identify and evaluate new and emerging technologies that can be applied to our solutions and services Develop and execute a comprehensive innovation strategy that aligns with the companys business goals and objectives Stay up-to-date with the latest software engineering trends and technologies to ensure our team is always at the cutting edge of the industry Requirements: 10+ years of experience in Software Engineering and Outsourcing field, working in a well-established software outsourcing company (3000+ employees) Experience in managing an engineering organization of 700+ people, with a proven record of results and achievements Strong program and portfolio management skills, Agile project management Deep level of expertise with modern SW engineering technology, best practices and trends; past experience working in a role of solution architect or similar is an advantage In-depth understanding of Digital business as well as its IT landscape and trends Visionary mindset, combining entrepreneurial skills with core management and leadership presence Profound experience with strategic planning and execution Getting things done attitude, proactivity and assertiveness in achieving the goals; ready for an extra mile Profound understanding of large IT outsourcing company organization (governance, processes, org. structure, financial management, etc.) Good understanding and experience with biz-dev (S&M, AM) in service business. Strong competence in presale management Financial management skills, experience managing P&L for a large services organization MSc or PhD Degree in Computer Science, Computer Engineering, MIS or another engineering area; additional business education (e.g. MBA or similar) would be an advantage Fluent level of written and spoken English Ready for frequent travelling

La calidad y seguridad de las innovaciones desarrolladas por el Centro Tecnológico contribuyen a la excelencia en la función pública que presta el notariado a ciudadanos y empresas, así como facilita la colaboración del Notariado con la Administración Pública, el sector financiero y otros org

Quieres trabajar en un proyecto donde cada cura y cada palabra ayuden a mejorar la vida de personas en situación de vulnerabilidad?.Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.En Grupo 5 no somos solo una org

You lead a design team, shape product strategy with cross-functional partners, and evangelize design thinking across the company. Foster and evolve a design culture within the product organization and the broader design org. You tackle complex user problems with world‑class, delightful products wh

Align roles and responsibilities with the onsite team: event host, nonprofit organization, venue, additional staff, and corporate partner. Self-starter who is organized and detail-oriented.

Experience organizing events or activations is a plus.

Ability to organize, analyze, and communicate data clearly using spreadsheets and other tools. Highly organized with extreme attention to detail.

Planificación, organización y coordinación de las.

Envíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta oportunidad de trabajo.Freelance In-Person Event Host in Barcelona, Spain.Events team on a contract basis.The Event Host will facilitate interactive social impact experiences for our corpora