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The Company twentyAI are partnering with a European-based AI scale-up to hire a Lead Data Scientist as they scale their AI platform and client delivery capability. Our client builds production-grade AI products that help organisations solve complex, real-world business challenges. With a team of 300+ and backing from a top 10 global VC firm, they work closely with enterprise clients to design and deploy impactful AI solutions across areas such as Supply Chain, Finance, and Marketing. The Role This is a senior Machine Learning Engineering position where you’ll take ownership of AI initiatives from discovery through to production delivery. You’ll lead cross-functional AI engineering efforts and drive the design, deployment, and scaling of production-grade ML systems and AI platforms. Responsibilities • Leading multiple AI and ML engineering initiatives across product development and delivery, • Translating business and product requirements into scalable, production-ready AI solutions, • Designing and implementing end-to-end ML pipelines autonomously, from data ingestion and model training through deployment, monitoring, and optimization, • Owning complex technical projects and leading engineering initiatives from architecture and design through implementation and standardization, • Building and contributing to APIs, tools, platforms, and cloud-based AI infrastructure used across engineering and AI teams, • Driving engineering best practices, code quality, MLOps standards, and scalable software architecture, • Leading and mentoring ML Engineers and junior team members on technical delivery, software engineering practices, and AI/ML development, • Ensuring the quality, scalability, and reliability of AI systems in production, • Balancing hands-on engineering contribution with technical leadership and strategic decision-making Your Background • Strong experience across Machine Learning Engineering, AI, and MLOps, including Deep Learning, GenAI, and production AI systems, • Proven track record delivering scalable AI/ML solutions in product-led or engineering-driven environments, • Solid software engineering fundamentals with strong Python expertise and experience building production-grade systems, • Experience leading technical initiatives and mentoring engineers or multidisciplinary AI teams, • Outstanding problem-solving and communication skills, • Ability to manage multiple priorities while driving measurable technical and business outcomes Locations: Barcelona or Madrid. Hybrid working with minimum of 2 days per week in the office.

An exciting opportunity has arisen for an experienced Data Scientist to join a forward thinking organisation with Global presence. You will bring with you your optimisation experience to work on real time issues that will help to revolutionise the regulated industry that they lead in. Along with optimisation you will have a strong knowledge of ML, be fluent in Python and other development languages and be comfortable working on AWS platforms. SageMaker would be great along with data and model versioning DVC, CI/CD, workflow orchestration and docker are all nice to have. Not only with you be a brilliant Data Scientist you will also be able to use that passion to consult and guide organisations and "sell" the strategies to brands across the group. Please apply for immediate consideration and full company profile. This is a consultant role and can be run autonomo at €700+ with travel to the UK office .

Data Scientist – Freelancer About the Role For our client, we are looking for a talented and driven Data Scientist - Freelancer You will work across the full data science lifecycle—from data acquisition and feature engineering to model development, deployment, and monitoring—leveraging modern cloud technologies and scalable data platforms. What You'll Do • Design, develop, and deploy advanced pricing and promotional optimization solutions., • Build and maintain forecasting and elasticity models to support pricing decisions., • Process large-scale datasets using Python and Apache Spark, with a focus on performance optimization through SparkUI., • Work within an AWS-based infrastructure managed through Terraform., • Orchestrate data pipelines and machine learning workflows using Apache Airflow., • Support CI/CD best practices through Jenkins and automated deployment processes. Long-term opportunity (1 year + extension) Location: Hybrid in Barcelona Languages: English and Spanish What We're Looking For Required Qualifications • Proven experience delivering Data Science projects focused on pricing, promotions, or revenue optimization., • Strong ability to prototype Machine Learning solutions and lead projects from proof of concept to production and maintenance., • 4+ years of professional experience developing solutions in Python or another object-oriented programming language., • Hands-on experience with demand forecasting and price elasticity modeling., • Knowledge of optimization algorithms and related Python libraries., • Strong understanding of software engineering best practices, code quality, testing, and maintainability. Who You Are • Curious and passionate about solving complex business problems with data., • Proactive and results-oriented., • Comfortable working in a fast-paced, collaborative environment., • Hands-on, pragmatic, and eager to innovate., • Strong communicator who can bridge technical and business perspectives. Apply now!

At ByRatings, we help companies improve sales performance through predictive modeling and advanced analytics applied to real business challenges. Our SaaS platform integrates CRM data to generate predictions, recommendations, and optimizations that improve commercial efficiency and key KPIs across the sales funnel. We work with companies across multiple industries, including Education, Real Estate, SaaS B2B, Automotive, and Insurance. We are looking for an Applied Data Scientist with a pragmatic business mindset, a strong statistical foundation, and hands-on experience in applied machine learning — someone capable of translating complex data into measurable operational and commercial performance improvements. While we work mostly remotely, we are specifically looking for candidates who can join the team at our Barcelona office once per week. 🚀 What You’ll Do • Design, train, and deploy predictive models focused on marketing, sales, and conversion optimization., • Work with complex and heterogeneous datasets coming from CRMs, advertising platforms, and external sources., • Measure and analyze how the adoption of our platform and predictive models improves clients’ commercial performance, including conversion metrics, pipeline efficiency, and revenue-related KPIs., • Build end-to-end ML solutions, from experimentation and prototyping to production-ready Python services, collaborating closely with Product and Engineering teams., • Translate analytical findings into clear insights and actionable recommendations for both technical and non-technical stakeholders., • Contribute to the evolution of our analytics and machine learning capabilities within a highly autonomous and collaborative environment. ✅ What We’re Looking For • 3+ years of experience as a Data Scientist or similar role., • Strong quantitative background in Statistics, Mathematics, Physics, Engineering, or related fields., • Solid hands-on experience with machine learning techniques applied to business data., • Ability to work with messy, ambiguous, and complex real-world datasets., • Proven experience driving measurable improvements in business KPIs through predictive models (lead scoring, churn prediction, propensity models…)., • Strong Python skills and experience with the data science ecosystem (pandas, NumPy, SciPy, scikit-learn, etc.)., • Hands-on experience with gradient boosting models such as XGBoost, LightGBM, or CatBoost., • Familiarity with version control systems such as Git/GitLab., • Strong communication skills with business stakeholders., • Fluent in English and Spanish. ⭐ Nice to Have • Experience in SaaS environments., • Exposure to Generative AI applications in business contexts., • Knowledge of experimentation and uplift modeling. 💼 What We Offer • High-impact projects with challenging datasets and direct business visibility., • Flexible working hours and hybrid-friendly setup (80–90% remote)., • Competitive salary based on experience., • Small, highly collaborative, and technically strong team., • Learning budget and private health insurance., • Free Fridays program based on tenure.

Data Scientist — Machine Learning for Marketing 📍 Barcelona · Full-time Most marketing decisions are still made on instinct. We help the world's most sophisticated advertisers replace that instinct with evidence. Indaru is an independent media and data advisory firm. We combine senior consulting judgement with advanced analytics to answer the questions that matter most to large advertisers: what is our marketing actually delivering, what should we change, and what happens if we do? Our work sits behind multi-million-euro investment decisions at some of the largest brands in the world. We're looking for a Data Scientist who is genuinely excited about applying machine learning to real commercial problems — and who wants their models to shape decisions, not sit in a notebook. What you'll work on You'll join a team of data scientists building the models and measurement that guide our clients' marketing investment. Day to day, that means: • Developing machine-learning models applied to marketing — Marketing Mix Modelling (MMM), forecasting, segmentation and attribution, • Contributing to our proprietary products: AITA, our MMM platform, and EcoMetrics, our ISO-aligned solution for measuring the carbon footprint of digital advertising, • Turning model output into clear, defensible recommendations clients can act on, • Building and optimising the data pipelines (ELT) that bring together Google Ads, Meta, Google Analytics, YouTube and Amazon data, • Designing and maintaining dashboards in Looker Studio, Shiny, Power BI and similar tools, • Presenting your findings directly to clients — your analysis, in your words What we're looking for Essential • Strong Python for data science (pandas, scikit-learn and the wider ecosystem) and comfort working with large datasets (GB–TB scale), • Solid SQL — able to write and reason about complex queries, • A rigorous, detail-oriented and self-directed way of working, • A genuine collaborator who enjoys working closely with colleagues and clients, • Strong written and spoken English (C1), • A degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field Nice to have • Experience with deep-learning or Bayesian frameworks (TensorFlow, Keras, PyMC, PySpark), • Familiarity with a cloud platform (Google Cloud, AWS or Azure), • Exposure to marketing, media or advertising data, • Additional languages — we work across Europe, the Americas, the Middle East and Asia-Pacific Don't tick every box? If you're strong on the essentials and keen to grow into the rest, we'd still like to hear from you. What we offer • A front-row seat on high-stakes measurement work for global brands — exposure most data scientists wait years for, • Proprietary products at the frontier of MMM and sustainability measurement, • Real ownership of your work and direct client contact early on, • A serious commitment to developing your potential — we treat growth as part of the job, not a perk, • A collaborative, open team that takes the work seriously without taking itself too seriously, • Full-time position based in Barcelona, with a competitive salary Know someone who'd be a great fit? Please share this post.

Senior Data Scientist (AWS / GCP) — Híbrido Barcelona Un grupo internacional con operaciones a escala busca un/a Senior Data Scientist para su departamento de Product & Technology. Trabajarás dentro de un equipo de datos amplio con enfoque DataOps, entregando productos de Data Science que llegan a usuarios reales y a clientes finales. 🧠 Lo que harás · Diseñar, entrenar y desplegar modelos de ML (time series, classification, regression, deep learning) sobre plataformas cloud industriales. · Construir pipelines ML robustos con control de drift y observabilidad en producción. · Tomar ownership de módulos completos: desde concepto hasta despliegue. · Coordinar con UX, stakeholders de negocio y equipos MLOps para asegurar resiliencia, mantenibilidad y rendimiento de los modelos. · Promover frameworks y buenas prácticas de Data Science en la organización. · Mentorear a data scientists junior y liderar adopción de nuevas metodologías. ✅ Imprescindibles · Experiencia probada entrenando modelos de time series, classification, regression y deep learning en producción. · Python sólido + ecosistema (Pandas, Scikit-learn) y al menos un framework de deep learning (TensorFlow o PyTorch). · Experiencia con pipelines ML productivos y control de drift en plataformas cloud a escala. · Cloud: AWS y/o GCP en producción, usando sus servicios de ML/Data (SageMaker, Vertex AI u otros). · Inglés profesional para entornos internacionales. 💡 Suma puntos · Reinforcement Learning aplicado en producción (no solo en POC). · MLOps maduro: CI/CD para ML, model registry, monitoring continuo, retraining automatizado. · Experiencia con datos IoT y procesamiento de series temporales industriales. · Conocimiento de UX para diseño de productos de datos. · Data warehouses, data lakes y arquitecturas DataOps. · Metodologías Agile. 💻 Condiciones · Modalidad: freelance vía Shakers. · Duración: 12 meses con extensión. · Ubicación: híbrido en Barcelona. En Shakers nos ocupamos de la gestión del proyecto, la facturación y el acompañamiento durante toda la colaboración. Tú te centras en construir Data Science que llega a producción.

Ventós Group is an international company specialized in the distribution and production of Essential Oils & Aroma Chemicals with the Head Quarters located in Barcelona, Spain. The group has 9 subsidiaries around the world. We believe our people are our most important asset, so we'll offer you a dynamic international working environment with constant opportunities for development. We are currently looking for a Data Scientist to join our new Data and Artificial Intelligence department, helping drive these initiatives within the company by developing end-to-end AI projects and contributing to the growth of the department itself. The role will be supported strategically by Dribia as a technological partner and offers significant professional growth alongside the company’s expansion. Responsibilities: • Perform exploratory data analysis and visualization to identify patterns, generate actionable insights, define new use cases, and create proofs of concepts., • Develop end-to-end AI solutions. This includes solution design, creation of algorithmic prototypes (PoC), data processing, model development, and productization., • Maintenance and evolution of developed projects., • Participation in training and upskilling Ventós employees in the adoption and use of the developed solutions. Requirements: • Bachelor’s or Master’s degree (in Computer Science, Mathematics, Physics, Engineering, or a related field)., • 3 years of experience in data/AI environments. The following skills will be positively valued: • Knowledge of data analysis and visualization., • Knowledge of machine learning, inference, and/or optimization., • Design and use of databases, back-end programming, and API usage/programming., • Experience with LLMs and generative AI. Current Tech Stack: • Microsoft Analysis Services, • Power BI, • SQL Server, • Visual Studio Code, • Visual Studio, • Fast API, • PostgreSQL, • Python, • Docker, • Linux, • Git Additional Information We offer a benefits package which includes: • Remote work: 1 full day and 2 afternoons per week., • Flexible working hours., • Free language classes and access to other training courses., • Health insurance., • Shared spaces for after-work activities., • Subsidized meals and breakfast service., • Corporate paddle tennis court for employees and their families. Do you think your professional profile fits and this could be a good project for you? Send us your application and tell us why!

En Proclinic Group somos líderes del sector dental porque nos une una misma ilusión: entregar siempre las mejores soluciones a los profesionales del dental. Llevamos más de 40 años siendo el grupo líder en soluciones odontológicas. Aquí y también más allá. Abriendo nuevos mercados y áreas de negocio cada año. Queremos seguir creciendo de forma responsable con el planeta, con la sociedad y con todos nuestros colaboradores. Para ello estamos buscando un/a: Data Scientist - Supply & Demand Planning para nuestras oficinas de Barcelona (Paseo de la Zona Franca). ¿Cuál será tu responsabilidad? • Desarrollar y mantener modelos de forecasting de demanda a nivel SKU y almacén., • Construir y calibrar el motor de cálculo de stocks de seguridad y puntos de pedido, incorporando variabilidad de demanda y de lead time, a partir de datos transaccionales de SAP (pedidos de compra y recepciones)., • Gestionar el ciclo de vida de los modelos dentro de MLflow (o plataforma equivalente), incluyendo versionado, seguimiento de experimentos, monitorización del rendimiento y despliegue., • Colaborar con el Data Engineer para asegurar una integración fluida con las fuentes de datos operativas (SAP, S3) y las salidas hacia las herramientas de consumo del equipo de compras., • Implementar procesos automatizados de evaluación y reentrenamiento de modelos., • Trabajar con el equipo de responsables de compras para interpretar los resultados de las recomendaciones y traducirlos en decisiones de aprovisionamiento accionables., • Documentar las hipótesis, estructura y desempeño de los modelos para garantizar reproducibilidad y transparencia., • Participar en la definición del roadmap de expansión del sistema a otras unidades de negocio del grupo. Hard: • Experiencia en contextos de planificación de inventario, supply chain analytics o optimización de operaciones., • Familiaridad con teoría clásica de inventario, o curiosidad demostrada por aprender rápidamente el marco., • Sólidos conocimientos de Python, con dominio de pandas, numpy, scikit-learn y statsmodels (o equivalentes)., • Conocimiento de forecasting y modelos de series temporales, con dominio de prophet u otros modelos de predicción de demanda., • Familiaridad con la integración de MLflow (o plataformas similares) y buenas prácticas en seguimiento de experimentos., • Conocimiento de los principios de MLOps, incluyendo despliegue y monitorización de modelos., • Experiencia con orquestación de flujos de trabajo (por ejemplo, Airflow) para pipelines de ML., • Visión de negocio para entender el trade-off entre capital inmovilizado, nivel de servicio y riesgo operativo., • Experiencia previa trabajando con datos de ERP (SAP, Oracle o similares). Soft: • Colaboración: capacidad de trabajar en equipos multidisciplinarios (equipos de aprovisionamiento, data engineering, analistas de negocio)., • Flexibilidad, capacidad de adaptación: el equipo de transformación es un equipo de reciente creación, con una cultura de trabajo en equipo y de intentar colaborar para conseguir los resultados, y poca compartimentación de tareas., • Comunicación: explicar resultados técnicos a profesionales no técnicos, especialmente al equipo de compras y a la dirección., • Mentalidad operativa: entender que una recomendación del sistema se traduce en un pedido de compra con implicaciones financieras reales; atención al detalle y voluntad de apropiarse del último tramo del proceso., • Documentación y transparencia: asegurar reproducibilidad y trazabilidad de los modelos., • Adaptabilidad e innovación: mantenerse actualizado en nuevas tecnologías y aplicar soluciones creativas a problemas de negocio. Esto es lo que te espera en Proclinic Group. ¿Te lo vas a perder? • Trabajarás en una empresa consolidada con espíritu de start up. ¡No nos conformamos con ser líderes!, • Vivirás el crecimiento internacional de una compañía que ya es líder en España y se está asentado en los principales mercados europeos., • Trabajarás en un equipo multidisciplinar y multicultural., • Disfrutarás de múltiples beneficios sociales, • Recibirás formación continua Igualdad de oportunidades Apostamos, sin excusas, por una manera de trabajar verdaderamente sostenible, ética y responsable. Buscamos a aquellas candidaturas que nos ayuden a impulsar la salud bucodental de forma sostenible independientemente de la raza, sexo, la identidad de género, la orientación sexual, la etnia, la religión, la discapacidad, la nacionalidad o la edad. Sabemos que en el futuro seguiremos siendo el grupo líder en soluciones odontológicas. Porque continuaremos entregando, cada día, lo mejor para que cada vez más personas tengan acceso a una mejor salud bucodental. Eres la candidatura ideal si: • Quieres formar parte de un proyecto apasionante en constante evolución, • Sabes que el B2B puede ser más interesante que el B2C si nos lo proponemos, • Te gusta trabajar en equipo y crees en un propósito común. Si quieres formar parte de est

About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. About the Role: Dow Jones is seeking a Lead Data Scientist to own and advance the architecture and delivery of AI-powered Search and discovery platforms across our products. As part of the GenAI, Search, and Personalization organization, this role will specifically lead Search data science while collaborating closely with peer leads across Generative AI and Personalization. You will define and execute the technical strategy for scalable, production-grade search systems, building and optimizing machine learning and information retrieval pipelines that power relevance, ranking, and content discovery. This role emphasizes applied, engineering-focused data science, partnering closely with engineering teams to design reliable, high-performance search infrastructure and deploy modern capabilities such as semantic retrieval, hybrid and vector search, retrieval-augmented generation (RAG), and LLM-powered conversational discovery experiences. This is a hands-on leadership role focused on delivering robust, scalable AI search systems that drive measurable business impact. You Will: • Own the end-to-end delivery of search and discovery data science initiatives, from problem framing and experimentation through production deployment and performance monitoring., • Establish and evolve relevance and evaluation frameworks, defining success metrics and driving continuous improvement in search quality, engagement, and business impact., • Design and scale retrieval and ranking pipelines that operate reliably in production and support evolving product and user needs., • Partner closely with engineering to ensure search capabilities are built as scalable, maintainable platform components rather than one-off models or experiments., • Collaborate with product and editorial stakeholders to translate user and business requirements into effective discovery experiences., • Work alongside peer leads across Generative AI and Personalization to deliver cohesive and consistent user discovery strategies., • Provide technical leadership and mentorship to data scientists, setting high standards for experimentation, model development, and production readiness., • Identify and drive new opportunities to enhance search capabilities, proactively shaping the long-term roadmap for AI-driven discovery. You Have: • Master’s or Ph.D. in Computer Science, Information Retrieval, Machine Learning, Data Science, or a related quantitative field (or equivalent practical experience)., • 4 - 7 years of industry experience in applied machine learning, search, or information retrieval, including experience leading complex, cross-functional initiatives., • Strong expertise in modern search and discovery systems, including ranking, relevance optimization, query and user intent understanding, and large-scale retrieval architectures., • Hands-on experience building and deploying semantic, vector, and hybrid search solutions, including familiarity with embedding models and retrieval-augmented generation (RAG) patterns., • Deep experience applying machine learning and/or LLM-based techniques to real-world discovery, recommendation, or knowledge retrieval problems., • Advanced programming skills in Python and strong experience with ML and LLM ecosystems (e.g., PyTorch, Hugging Face, retrieval and evaluation tooling, or similar frameworks)., • Experience designing experimentation and evaluation frameworks for search quality, including offline relevance metrics and online testing methodologies., • Proven experience deploying production ML systems using cloud infrastructure (e.g., AWS, GCP, or similar), including performance optimization and scalability considerations., • Familiarity with distributed systems, data pipelines, and production deployment practices, including containerization and orchestration technologies., • Strong collaboration and communication skills, with experience translating user and business needs into scalable technical solutions., • Demonstrated leadership and mentorship experience, with a track record of elevating technical standards and supporting team growth. Our Benefits • Comprehensive Insurance Plans, • Paid Time Off, • Family Care Benefits, • Access to Dow Jones Products, • Subscription Discounts, • Employee Referral Program, • Employee Well-being Support & Fitness Programs

Who Are We Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris Consulting is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. Job Description You will join our team in province of Barcelona and support our clients in the design and implementation of advanced pricing solutions within an international and dynamic environment. Your Missions • Design and develop pricing models based on mathematical algorithms, predictive models (forecasting, regression, time series, ML), and optimization techniques (price optimization, revenue/yield management)., • Translate business challenges into data science use cases and deliver actionable pricing recommendations., • Build and validate proofs of concept (PoC) to demonstrate the value of new approaches before industrialization., • Work with large datasets using Python and Spark, ensuring scalability and performance., • Design, schedule, and monitor data and model pipelines using tools such as Airflow, ensuring reliability and traceability., • Contribute to the implementation of CI/CD pipelines, ideally with Jenkins, to automate testing, deployment, and monitoring of models., • Deploy and operate solutions in the cloud, preferably AWS (experience with Azure or GCP is also valued)., • Collaborate with business stakeholders, data engineers, and other data scientists in a multidisciplinary and international environment., • Share best practices and contribute to the development of our Data & AI community within Amaris Consulting. Your Profile • Experience as a Data Scientist, Machine Learning Engineer, or similar role (at least 4 years), ideally with exposure to pricing or optimization topics., • Strong background in mathematical algorithms and quantitative methods., • Experience in predictive modeling (supervised/unsupervised learning, time series, forecasting)., • Experience in optimization applied to pricing, revenue management, or similar problems., • Solid programming skills in Python (e.g. pandas, NumPy, scikit-learn, etc.)., • Hands-on experience with Spark (PySpark or similar) for big data processing., • Experience with workflow orchestration tools, ideally Airflow, to manage data and model pipelines., • Familiarity with CI/CD pipelines, preferably using Jenkins., • Experience with cloud environments, ideally AWS (knowledge of Azure or GCP is also acceptable)., • Proven experience delivering proofs of concept (PoC) and contributing to their industrialization., • You demonstrate strong communication skills and ability to explain complex analytical results to non-technical stakeholders., • Spanish fluent. English good. Nice-to-have • Experience in retail, e-commerce, telecom, manufacturing, or industrial pricing environments., • Knowledge of MLOps practices (monitoring, retraining, governance)., • Experience with Docker, Kubernetes, or similar technologies., • Familiarity with data visualization tools (Power BI, Tableau, etc.). What We Offer • Remote policy: Possibility to work onsite 2 or 3 days per week. Benefits: Shuttle bus service available., • An international community bringing together 110+ different nationalities., • An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibility., • A robust training system with our internal Academy and 250+ available modules., • A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)., • Sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics .

Job description: NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. This is a fantastic opportunity to work alongside brilliant minds in data science, where you can learn and enrich yourself in a dynamic and innovative environment, leveraging cutting-edge Artificial Intelligence techniques to drive forward-thinking solutions in a company that's at the forefront of technological advancement. Qualifications: Bachelor's or master's degree in mathematics, Statistics, Informatics Engineering, Economics, or Physics. Courses in Artificial Intelligence, Analytics, Big Data, or similar fields are a plus. Experience: For junior: A minimum of 1 year of experience in Data Science or related fields. For senior: A minimum of 3 years of experience in Data Science or related fields. Skills: • Required:, • Machine Learning, optimization and advanced analytics techniques, • Work with team members across multiple disciplines to understand the data, • Descriptive and exploratory statistics applied to detecting patterns and trends in data., • Advanced knowledge in Python., • SQL and relational databases., • Visualization and communication with clients, mastering tools such as PowerBI, Tableau, Dash, Streamlit, etc., • Valuable:, • Experience using Git, • NLP, Generative AI, Deep Learning, methaeuristic algorithms, • Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities., • Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc. Key Responsibilities: • Collaborate with cross-functional teams to understand business needs and translate them into data science projects., • Design, develop, and deploy machine learning models and algorithms to solve complex business problems., • Conduct data analysis and visualization to communicate insights and recommendations to stakeholders., • Stay updated with the latest trends and advancements in data science and AI, and apply them to improve existing processes and solutions., • Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team. Join our dynamic and passionate team at a leading technology and services company! Send in your application and start making your mark on the future of the industry today! At NTT Data, we believe everyone is unique and different, this is why we bet for an inclusive culture that recognizes and values diversity. We work day after day to create an environment in wich we can explore, live and enhance our own singularity. #WeAreAllUnique #YouMakeUsUnique

Ensure every model parameter carries a clear business meaning explainable in plain language. Strong bias toward parsimony: price elasticity, demand curves, cohort/LTV curves, survival models, GLMs preferred over black-box ML. Comfortable reconciling model outputs against accounting figures and expla

¿Quiénes somos? Somos una compañía tecnológica especializada en Inteligencia Artificial, IA Generativa, Analytics, Gobierno del Dato, Cloud y arquitecturas Event Driven, pero sobre todo somos un equipo con conocimiento, criterio y muchas ganas de hacer las cosas bien. Trabajamos con talento altamente especializado, esté donde esté, y apostamos por una forma de crecer basada en la confianza, la autonomía y la participación. Nos mueve la excelencia tecnológica, la orientación a negocio y el sentido común, pero también el entusiasmo, la creatividad y la convicción de que la tecnología necesita alma, propósito y personas capaces de convertir la complejidad en soluciones reales. Buscamos a un/a Data Scientist con 4-5 años de experiencia que quiera formar parte de proyectos de forecasting, clasificación, optimización y pircing para un cliente nacional destacado en el sector de las utilities. ¿Qué buscamos? • Experiencia sólida en Python., • Buen dominio de la modularización y la programación orientada a objetos., • Experiencia trabajando con Git y buenas prácticas de control de versiones., • Conocimiento en tests unitarios y prácticas de CI/CD., • Se valorará positivamente experiencia con Azure Databricks y Azure Machine Learning (Jobs, Pipelines, YAMLs), • Se valorará experiencia con PySpark., • Familiaridad con herramientas de gestión de tareas como Azure DevOps, Jira o similar, • Buen nivel de inglés, tanto oral como escrito, ¿Cómo será tu día a día? • Extraerás y analizarás datos de las bases de datos para impulsar la optimización y la mejora del desarrollo de productos de la Segunda Ola Digital., • Evaluarás la eficacia y precisión de las nuevas fuentes de datos y aplicar técnicas de recopilación de datos., • Desarrollarás modelos personalizados para resolver las iniciativas de IA existentes a partir de los datos disponibles y haciendo uso de algoritmos., • Utilizarás el modelado predictivo para aumentar y optimizar las experiencias de los clientes, la generación de ingresos, la segmentación de anuncios y otros resultados empresariales., • Diseñarás marcos de prueba A / B y determinar siempre una métrica para evaluar los modelos., • Te coordinarás con diferentes equipos funcionales para implementar modelos y monitorizar los resultados., • Desarrollarás procesos y herramientas para supervisar y analizar el rendimiento del modelo y la precisión de los datos. ¿Qué ofrecemos? Pertenecer a una empresa a la vanguardia tecnológica y centrado en las Personas, ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Contrato indefinido y salario entre los 36.000 y 40.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud, retribución flexible con Cobee, además de las vacaciones habituales, ofrecemos una semana extra en Navidad y tres días adicionales en Semana Santa. También recibirás un divertido Welcome Kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly! Si te interesa, escríbenos por LinkedIn o envía tu CV a Do you want to be Mática? Be Mática!

Des de Paul Marlex, col·laborem amb una empresa del Pla de lEstany, que es dedica a realitzar projectes d’enginyeria, energia i Machine Learning i que actualment busca incorporar un/a DATA SCIENTIST pel seu equip de desenvolupament de digital twins.Quina seria la teva missió a l’empresa?.La pe

Job Summary Performs a broad range of laboratory work requiring application of professional judgment in the selection of specialized methods and techniques, and their application to specific tasks. Provides project updates. Performs duties in research and development including the ability to perform specialized lab techniques and good laboratory documentation practices. Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora. Key Accountabilities • Performs an expanded range of laboratory procedures and experiments, • Periodically communicates problems, and progress to supervisor, • Occasionally communicates status updates and results across the organization, • Presents results to senior/other research staff, • Selects appropriate experimental and analytical methods and define protocols, • Schedules own and team tasks and activities in accordance with assignments and priorities, • Detects deviations in results and potential problems, recommends modification in protocols or standard methodology to define the causes of deviations and overcome problems, • Under the supervision and approval of his/her supervisor, writes specialized laboratory procedures and reviews existing Procedures and Methods, • Compiles and interprets experimental data, performs calculations and prepares graphs to present and discuss them to his/her supervisor, • Writes research papers, reports, reviews, and technical summaries, • Review electronic or paper laboratory notebook making sure that all data is accurately recorded in accordance with guidelines and procedures, • Must be capable of performing all duties required of a Scientist I Networking/Key relationships To be determined based on department needs, to include interactions such as: • Mainly with R&D, Quality and Operations colleagues. Minimum Knowledge & Experience required for the position: Education • Required: Bachelor's degree (Diplomatura) in biological or related sciences., • Valuable: Any additional degree higher than that required in the previous section. Experience • Four (4) years previous scientific/in vitro diagnostic industry experience required. Additional Skills/Knowledge: • Laboratory experience., • Basic knowledge of biological and chemical laboratory procedures. Ability to operate laboratory equipment., • Knowledge of basic software tools (Excel, Word, PowerPoint). Knowledge of SAP preferred., • Language: Fluency in Spanish or Catalan. Advanced knowledge of English (reading, speaking and writing). Skills & Capabilities: General Scientific Skills • Attention to detail and accuracy., • Able to apply general scientific methods and theoretical knowledge to tasks within one area of expertise., • Teamwork and interpersonal skills. Flexibility in order to work with, and provide support for a number of people., • Oral and written communication skills., • Time management skills. Excellent organizational and multi-tasking skills., • Thorough knowledge of design control processes and familiarity with quality standards as required., • Excellent analytical skills., • Able to work independently on the project with moderate guidance., • Well organized, able to handle large data sets, and communicate results, problems, and progress to the supervisor, and within the group as required, • Ability to adapt to R&D flexible and changing environment., • Certain troubleshooting ability required., • Reflects values of Werfen and OEM in the quality of work and working relationship Biotechnology Skills: • Industrial experience in Biotechnology Process Development will be highly valued., • The ability to analyze and interpret protein structures and apply this knowledge to the rational design of novel biomaterials would be desirable., • Ability to design and clone DNA constructs for the expression of biomaterials in heterologous systems., • Experience in cell transformation/transfection and clone screening in mammalian cells and bacteria., • Experience in the maintenance and monitoring of cell growth under different conditions: static and suspension, batch, fed-batch, perfusion., • Experience in bioprocesses development to produce biomaterials with different scales and platforms, from flask to bioreactor., • Experience in filtration and chromatographic techniques for protein purification., • Experience in Protein Buffer Formulation and Optimization. xcskxlj, • Experience in Physicochemical Characterization of Proteins (HPLC & BLI is a plus), • Knowledge in In Vitro Diagnostic assays will be considered. Travel requirements: Sporadic travel or short-term assignment to an external lab may be required

Job Summary Performs a broad range of laboratory work requiring application of professional judgment in the selection of specialized methods and techniques, and their application to specific tasks. Provides project updates. Performs duties in research and development including the ability to perform specialized lab techniques and good laboratory documentation practices. Key Accountabilities • Performs an expanded range of laboratory procedures and experiments, • Periodically communicates problems, and progress to supervisor, • Occasionally communicates status updates and results across the organization, • Presents results to senior/other research staff, • Selects appropriate experimental and analytical methods and define protocols, • Schedules own and team tasks and activities in accordance with assignments and priorities, • Detects deviations in results and potential problems, recommends modification in protocols or standard methodology to define the causes of deviations and overcome problems, • Under the supervision and approval of his/her supervisor, writes specialized laboratory procedures and reviews existing Procedures and Methods, • Compiles and interprets experimental data, performs calculations and prepares graphs to present and discuss them to his/her supervisor, • Writes research papers, reports, reviews, and technical summaries, • Review electronic or paper laboratory notebook making sure that all data is accurately recorded in accordance with guidelines and procedures, • Must be capable of performing all duties required of a Scientist I Networking/Key relationships To be determined based on department needs, to include interactions such as: • Mainly with R&D, Quality and Operations colleagues. Minimum Knowledge & Experience required for the position: Education • Required: Bachelor's degree (Diplomatura) in biological or related sciences., • Valuable: Any additional degree higher than that required in the previous section. Experience • Four (4) years previous scientific/in vitro diagnostic industry experience required. Additional Skills/Knowledge: • Laboratory experience., • Basic knowledge of biological and chemical laboratory procedures. Ability to operate laboratory equipment., • Knowledge of basic software tools (Excel, Word, PowerPoint). Knowledge of SAP preferred., • Language: Fluency in Spanish or Catalan. Advanced knowledge of English (reading, speaking and writing). Skills & Capabilities: General Scientific Skills • Attention to detail and accuracy., • Able to apply general scientific methods and theoretical knowledge to tasks within one area of expertise., • Teamwork and interpersonal skills. Flexibility in order to work with, and provide support for a number of people., • Oral and written communication skills., • Time management skills. Excellent organizational and multi-tasking skills., • Thorough knowledge of design control processes and familiarity with quality standards as required., • Excellent analytical skills., • Able to work independently on the project with moderate guidance., • Well organized, able to handle large data sets, and communicate results, problems, and progress to the supervisor, and within the group as required, • Ability to adapt to R&D flexible and changing environment., • Certain troubleshooting ability required., • Reflects values of Werfen and OEM in the quality of work and working relationship Biotechnology Skills: • Industrial experience in Biotechnology Process Development will be highly valued., • The ability to analyze and interpret protein structures and apply this knowledge to the rational design of novel biomaterials would be desirable., • Ability to design and clone DNA constructs for the expression of biomaterials in heterologous systems., • Experience in cell transformation/transfection and clone screening in mammalian cells and bacteria., • Experience in the maintenance and monitoring of cell growth under different conditions: static and suspension, batch, fed-batch, perfusion., • Experience in bioprocesses development to produce biomaterials with different scales and platforms, from flask to bioreactor., • Experience in filtration and chromatographic techniques for protein purification., • Experience in Protein Buffer Formulation and Optimization., • Experience in Physicochemical Characterization of Proteins (HPLC & BLI is a plus), • Knowledge in In Vitro Diagnostic assays will be considered. Travel requirements: Sporadic travel or short-term assignment to an external lab may be required

Job Summary Performs a broad range of laboratory work requiring application of professional judgment in the selection of specialized methods and techniques, and their application to specific tasks. Provides project updates. Performs duties in research and development including the ability to perform specialized lab techniques and good laboratory documentation practices. Key Accountabilities • Performs an expanded range of laboratory procedures and experiments, • Periodically communicates problems, and progress to supervisor, • Occasionally communicates status updates and results across the organization, • Presents results to senior/other research staff, • Selects appropriate experimental and analytical methods and define protocols, • Schedules own and team tasks and activities in accordance with assignments and priorities, • Detects deviations in results and potential problems, recommends modification in protocols or standard methodology to define the causes of deviations and overcome problems, • Under the supervision and approval of his/her supervisor, writes specialized laboratory procedures and reviews existing Procedures and Methods, • Compiles and interprets experimental data, performs calculations and prepares graphs to present and discuss them to his/her supervisor, • Writes research papers, reports, reviews, and technical summaries, • Review electronic or paper laboratory notebook making sure that all data is accurately recorded in accordance with guidelines and procedures, • Must be capable of performing all duties required of a Scientist I Networking/Key relationships To be determined based on department needs, to include interactions such as: • Mainly with R&D, Quality and Operations colleagues. Minimum Knowledge & Experience required for the position: Education • Required: Bachelor's degree (Diplomatura) in biological or related sciences., • Valuable: Any additional degree higher than that required in the previous section. Experience • Four (4) years previous scientific/in vitro diagnostic industry experience required. Additional Skills/Knowledge: • Laboratory experience., • Basic knowledge of biological and chemical laboratory procedures. Ability to operate laboratory equipment., • Knowledge of basic software tools (Excel, Word, PowerPoint). Knowledge of SAP preferred., • Language: Fluency in Spanish or Catalan. Advanced knowledge of English (reading, speaking and writing). Skills & Capabilities: General Scientific Skills • Attention to detail and accuracy., • Able to apply general scientific methods and theoretical knowledge to tasks within one area of expertise., • Teamwork and interpersonal skills. Flexibility in order to work with, and provide support for a number of people., • Oral and written communication skills., • Time management skills. Excellent organizational and multi-tasking skills., • Thorough knowledge of design control processes and familiarity with quality standards as required., • Excellent analytical skills., • Able to work independently on the project with moderate guidance., • Well organized, able to handle large data sets, and communicate results, problems, and progress to the supervisor, and within the group as required, • Ability to adapt to R&D flexible and changing environment., • Certain troubleshooting ability required., • Reflects values of Werfen and OEM in the quality of work and working relationship Biotechnology Skills: • Industrial experience in Biotechnology Process Development will be highly valued., • The ability to analyze and interpret protein structures and apply this knowledge to the rational design of novel biomaterials would be desirable., • Ability to design and clone DNA constructs for the expression of biomaterials in heterologous systems., • Experience in cell transformation/transfection and clone screening in mammalian cells and bacteria., • Experience in the maintenance and monitoring of cell growth under different conditions: static and suspension, batch, fed-batch, perfusion., • Experience in bioprocesses development to produce biomaterials with different scales and platforms, from flask to bioreactor., • Experience in filtration and chromatographic techniques for protein purification., • Experience in Protein Buffer Formulation and Optimization., • Experience in Physicochemical Characterization of Proteins (HPLC & BLI is a plus), • Knowledge in In Vitro Diagnostic assays will be considered. Travel requirements: Sporadic travel or short-term assignment to an external lab may be required

Job Summary Performs a broad range of laboratory work requiring application of professional judgment in the selection of specialized methods and techniques, and their application to specific tasks. Provides project updates. Performs duties in research and development including the ability to perform specialized lab techniques and good laboratory documentation practices. Key Accountabilities • Performs an expanded range of laboratory procedures and experiments, • Periodically communicates problems, and progress to supervisor, • Occasionally communicates status updates and results across the organization, • Presents results to senior/other research staff, • Selects appropriate experimental and analytical methods and define protocols, • Schedules own and team tasks and activities in accordance with assignments and priorities, • Detects deviations in results and potential problems, recommends modification in protocols or standard methodology to define the causes of deviations and overcome problems, • Under the supervision and approval of his/her supervisor, writes specialized laboratory procedures and reviews existing Procedures and Methods, • Compiles and interprets experimental data, performs calculations and prepares graphs to present and discuss them to his/her supervisor, • Writes research papers, reports, reviews, and technical summaries, • Review electronic or paper laboratory notebook making sure that all data is accurately recorded in accordance with guidelines and procedures, • Must be capable of performing all duties required of a Scientist I Networking/Key relationships To be determined based on department needs, to include interactions such as: • Mainly with R&D, Quality and Operations colleagues. Minimum Knowledge & Experience required for the position: Education • Required: Bachelor's degree (Diplomatura) in biological or related sciences., • Valuable: Any additional degree higher than that required in the previous section. Experience • Four (4) years previous scientific/in vitro diagnostic industry experience required. Additional Skills/Knowledge: • Laboratory experience., • Basic knowledge of biological and chemical laboratory procedures. Ability to operate laboratory equipment., • Knowledge of basic software tools (Excel, Word, PowerPoint). Knowledge of SAP preferred., • Language: Fluency in Spanish or Catalan. Advanced knowledge of English (reading, speaking and writing). Skills & Capabilities: General Scientific Skills • Attention to detail and accuracy., • Able to apply general scientific methods and theoretical knowledge to tasks within one area of expertise., • Teamwork and interpersonal skills. Flexibility in order to work with, and provide support for a number of people., • Oral and written communication skills., • Time management skills. Excellent organizational and multi-tasking skills., • Thorough knowledge of design control processes and familiarity with quality standards as required., • Excellent analytical skills., • Able to work independently on the project with moderate guidance., • Well organized, able to handle large data sets, and communicate results, problems, and progress to the supervisor, and within the group as required, • Ability to adapt to R&D flexible and changing environment., • Certain troubleshooting ability required., • Reflects values of Werfen and OEM in the quality of work and working relationship Biotechnology Skills: • Industrial experience in Biotechnology Process Development will be highly valued., • The ability to analyze and interpret protein structures and apply this knowledge to the rational design of novel biomaterials would be desirable., • Ability to design and clone DNA constructs for the expression of biomaterials in heterologous systems., • Experience in cell transformation/transfection and clone screening in mammalian cells and bacteria., • Experience in the maintenance and monitoring of cell growth under different conditions: static and suspension, batch, fed-batch, perfusion., • Experience in bioprocesses development to produce biomaterials with different scales and platforms, from flask to bioreactor., • Experience in filtration and chromatographic techniques for protein purification., • Experience in Protein Buffer Formulation and Optimization., • Experience in Physicochemical Characterization of Proteins (HPLC & BLI is a plus), • Knowledge in In Vitro Diagnostic assays will be considered. Travel requirements: Sporadic travel or short-term assignment to an external lab may be required

At ByRatings, we help companies improve sales performance through predictive modeling and advanced analytics applied to real business challenges. Our SaaS platform integrates CRM data to generate predictions, recommendations, and optimizations that improve commercial efficiency and key KPIs across the sales funnel. We work with companies across multiple industries, including Education, Real Estate, SaaS B2B, Automotive, and Insurance. We are looking for an Applied Data Scientist with a pragmatic business mindset, a strong statistical foundation, and hands-on experience in applied machine learning — someone capable of translating complex data into measurable operational and commercial performance improvements. While we work mostly remotely, we are specifically looking for candidates who can join the team at our Barcelona office once per week. What You’ll Do • Design, train, and deploy predictive models focused on marketing, sales, and conversion optimization., • Work with complex and heterogeneous datasets coming from CRMs, advertising platforms, and external sources., • Measure and analyze how the adoption of our platform and predictive models improves clients’ commercial performance, including conversion metrics, pipeline efficiency, and revenue-related KPIs., • Build end-to-end ML solutions, from experimentation and prototyping to production-ready Python services, collaborating closely with Product and Engineering teams., • Translate analytical findings into clear insights and actionable recommendations for both technical and non-technical stakeholders., • Contribute to the evolution of our analytics and machine learning capabilities within a highly autonomous and collaborative environment. ✅ What We’re Looking For • 3+ years of experience as a Data Scientist or similar role., • Strong quantitative background in Statistics, Mathematics, Physics, Engineering, or related fields., • Solid hands-on experience with machine learning techniques applied to business data., • Ability to work with messy, ambiguous, and complex real-world datasets., • Proven experience driving measurable improvements in business KPIs through predictive models (lead scoring, churn prediction, propensity models…)., • Strong Python skills and experience with the data science ecosystem (pandas, NumPy, SciPy, scikit-learn, etc.)., • Hands-on experience with gradient boosting models such as XGBoost, LightGBM, or CatBoost., • Familiarity with version control systems such as Git/GitLab., • Strong communication skills with business stakeholders., • Fluent in English and Spanish. ⭐ Nice to Have • Experience in SaaS environments., • Exposure to Generative AI applications in business contexts., • Knowledge of experimentation and uplift modeling. What We Offer • High-impact projects with challenging datasets and direct business visibility., • Flexible working hours and hybrid-friendly setup (80–90% remote)., • Competitive salary based on experience., • Small, highly collaborative, and technically strong team., • Learning budget and private health insurance., • Free Fridays program based on tenure.

¿Quiénes somos? Somos una compañía tecnológica especializada en Inteligencia Artificial, IA Generativa, Analytics, Gobierno del Dato, Cloud y arquitecturas Event Driven, pero sobre todo somos un equipo con conocimiento, criterio y muchas ganas de hacer las cosas bien. Trabajamos con talento altamente especializado, esté donde esté, y apostamos por una forma de crecer basada en la confianza, la autonomía y la participación. Nos mueve la excelencia tecnológica, la orientación a negocio y el sentido común, pero también el entusiasmo, la creatividad y la convicción de que la tecnología necesita alma, propósito y personas capaces de convertir la complejidad en soluciones reales. Buscamos a un/a Data Scientist con 4-5 años de experiencia que quiera formar parte de proyectos de forecasting, clasificación, optimización y pircing para un cliente nacional destacado en el sector de las utilities. ¿Qué buscamos? • Experiencia sólida en Python., • Buen dominio de la modularización y la programación orientada a objetos., • Experiencia trabajando con Git y buenas prácticas de control de versiones., • Conocimiento en tests unitarios y prácticas de CI/CD., • Se valorará positivamente experiencia con Azure Databricks y Azure Machine Learning (Jobs, Pipelines, YAMLs), • Se valorará experiencia con PySpark., • Familiaridad con herramientas de gestión de tareas como Azure DevOps, Jira o similar, • Buen nivel de inglés, tanto oral como escrito, ¿Cómo será tu día a día? • Extraerás y analizarás datos de las bases de datos para impulsar la optimización y la mejora del desarrollo de productos de la Segunda Ola Digital., • Evaluarás la eficacia y precisión de las nuevas fuentes de datos y aplicar técnicas de recopilación de datos., • Desarrollarás modelos personalizados para resolver las iniciativas de IA existentes a partir de los datos disponibles y haciendo uso de algoritmos., • Utilizarás el modelado predictivo para aumentar y optimizar las experiencias de los clientes, la generación de ingresos, la segmentación de anuncios y otros resultados empresariales., • Diseñarás marcos de prueba A / B y determinar siempre una métrica para evaluar los modelos., • Te coordinarás con diferentes equipos funcionales para implementar modelos y monitorizar los resultados., • Desarrollarás procesos y herramientas para supervisar y analizar el rendimiento del modelo y la precisión de los datos. ¿Qué ofrecemos? Pertenecer a una empresa a la vanguardia tecnológica y centrado en las Personas, ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Contrato indefinido y salario entre los 36.000 y 40.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud, retribución flexible con Cobee, además de las vacaciones habituales, ofrecemos una semana extra en Navidad y tres días adicionales en Semana Santa. También recibirás un divertido Welcome Kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly! Si te interesa, escríbenos por LinkedIn o envía tu CV a Do you want to be Mática? Be Mática!

¿Quiénes somos? Somos una compañía tecnológica especializada en Inteligencia Artificial, IA Generativa, Analytics, Gobierno del Dato, Cloud y arquitecturas Event Driven, pero sobre todo somos un equipo con conocimiento, criterio y muchas ganas de hacer las cosas bien. Trabajamos con talento altamente especializado, esté donde esté, y apostamos por una forma de crecer basada en la confianza, la autonomía y la participación. Nos mueve la excelencia tecnológica, la orientación a negocio y el sentido común, pero también el entusiasmo, la creatividad y la convicción de que la tecnología necesita alma, propósito y personas capaces de convertir la complejidad en soluciones reales. Buscamos a un/a Data Scientist con 4-5 años de experiencia que quiera formar parte de proyectos de forecasting, clasificación, optimización y pircing para un cliente nacional destacado en el sector de las utilities. ¿Qué buscamos? • Experiencia sólida en Python., • Buen dominio de la modularización y la programación orientada a objetos., • Experiencia trabajando con Git y buenas prácticas de control de versiones., • Conocimiento en tests unitarios y prácticas de CI/CD., • Se valorará positivamente experiencia con Azure Databricks y Azure Machine Learning (Jobs, Pipelines, YAMLs), • Se valorará experiencia con PySpark., • Familiaridad con herramientas de gestión de tareas como Azure DevOps, Jira o similar, • Buen nivel de inglés, tanto oral como escrito, ¿Cómo será tu día a día? • Extraerás y analizarás datos de las bases de datos para impulsar la optimización y la mejora del desarrollo de productos de la Segunda Ola Digital., • Evaluarás la eficacia y precisión de las nuevas fuentes de datos y aplicar técnicas de recopilación de datos., • Desarrollarás modelos personalizados para resolver las iniciativas de IA existentes a partir de los datos disponibles y haciendo uso de algoritmos., • Utilizarás el modelado predictivo para aumentar y optimizar las experiencias de los clientes, la generación de ingresos, la segmentación de anuncios y otros resultados empresariales., • Diseñarás marcos de prueba A / B y determinar siempre una métrica para evaluar los modelos., • Te coordinarás con diferentes equipos funcionales para implementar modelos y monitorizar los resultados., • Desarrollarás procesos y herramientas para supervisar y analizar el rendimiento del modelo y la precisión de los datos. ¿Qué ofrecemos? Pertenecer a una empresa a la vanguardia tecnológica y centrado en las Personas, ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Contrato indefinido y salario entre los 36.000 y 40.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud, retribución flexible con Cobee, además de las vacaciones habituales, ofrecemos una semana extra en Navidad y tres días adicionales en Semana Santa. También recibirás un divertido Welcome Kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly! Si te interesa, escríbenos por LinkedIn o envía tu CV a Do you want to be Mática? Be Mática!

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time. Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data‑driven decisions every day. Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact. The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains. Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact. Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale. Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data. Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimise clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more. Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organisations unlock insights and efficiencies in every corner of their operations. 3 years of experience & up Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy. Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables. Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it. Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools. Implement robust data quality frameworks, monitoring, and alerting systems at scale. Optimize data workflows for cost, performance, and reliability across multiple datasets. Mentor junior team members on data engineering best practices and tooling. Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact. A scientist and builder: you explore multiple approaches, analyse results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions. A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders. Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving. Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights Applicants must already have the legal right to work in Spain or Germany. Locations: Madrid (MAD), Barcelona (BCN) or Munich Contract type: Permanent. Work policy: hybrid (2 days per week in the office) #J-18808-Ljbffr

Job SummaryProduct Owner for AI & Molecular Modeling located in Barcelona, Spain. The role leads the vision and execution of AI/ML‑driven digital products leveraging chemoinformatics, molecular modeling, and CADD methodologies to support medicinal and computational chemists.Responsibilities- Lead agile and iterative product development in cross‑functional pods with data scientists, ML engineers, UX/UI designers, and data engineers.- Define detailed user stories, acceptance criteria, and success metrics grounded in scientific workflows.- Coordinate with MLOps and data engineering teams to validate technical requirements and architecture decisions.- Establish and monitor KPIs and success metrics to demonstrate product value and ROI.- Build and present executive‑level reports and dashboards communicating product progress, adoption metrics, and value delivered.- Translate complex technical and scientific outcomes into clear business impact narratives for senior leadership.- Align cross‑functional agile teams including data scientists, ML engineers, computational chemists, and UX designers.- Conduct user research with molecular design scientists to understand workflows, data needs, and predictive modeling requirements.- Lead usability testing sessions and gather continuous feedback from scientist users.- Conduct regular product reviews with stakeholders to assess performance against strategic objectives.- Proactively identify and communicate risks, trade‑offs, and mitigation strategies to leadership.- Serve as the primary translator between AI/ML and molecular modeling technical capabilities and scientific user needs.- Maintain deep knowledge of CADD methodologies (molecular docking, molecular dynamics, QSAR, free energy perturbation, pharmacophore modeling) to make informed product decisions.- Stay current on emerging AI/ML approaches in drug discovery, including generative molecular design, structure‑based AI, and multi‑parameter optimization.- Collaborate with data engineers to ensure robust data pipelines and APIs support seamless user experiences.- Ensure proper integration with existing molecular design tools, cheminformatics platforms, and scientific databases.Qualifications- Experience: 5+ years of experience in product ownership and translating scientific business requirements into technical specifications; proven track record of leading cross‑functional agile teams in a scientific or R&D environment; hands‑on experience with AI/ML, molecular modeling, or CADD methodologies in a drug discovery context; experience defining andtracking product KPIs and communicating results to executive stakeholders.- Skills: Knowledge of CADD and molecular modeling methods (molecular docking, molecular dynamics, QSAR, free energy perturbation, pharmacophore modeling, structure‑based drug design); experience with AI/ML applications in drug discovery and small molecule design; strong command of agileproduct development methodologies (Scrum, Kanban); ability to define, measure, and communicate product impact through KPIs and executive‑level reporting; strong ability to translate complex computational concepts into intuitive user experiences; proficiency with product management tools (JIRA, Confluence, Figma, Miro or equivalent); excellent communicationand stakeholder management skills across scientific and business audiences; change management skills to drive adoption of new digital tools and workflows.- Education: Bachelor’s degree in Life Sciences, Computational Chemistry, Molecular Modeling, Cheminformatics, Biochemistry or a related field with significant industry experience; Master’s or PhD degree strongly preferred.- Languages: Excellent English communication and writing skills.What Makes You Stand Out- Hands‑on experience with python‑based libraries for molecular manipulation (RDKit, OpenBabel, DeepChem) and visualization (Pymol, ChemPy, Streamlit, MDAnalysis).- Experience with generative AI or deep learning approaches for molecular design (e.G., graph neural networks, diffusion models, transformer‑based molecular generation).- Track record of driving measurable improvements in user adoption, scientific productivity, or drug design cycle time.- Knowledge of regulatory considerations for AI/ML tools in drug discovery.- Experience with design thinking methodologies and facilitation of co‑creation workshops.- Background combining wet‑lab or medicinal chemistry experience with computational/data science expertise.- Curiosity and continuous learning mindset regarding emerging technologies in AI/ML and scientific computing.EEO StatementAt Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Salary and BenefitsSalary is determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.#J-18808-Ljbffr

About the CompanyPlayvalve is a vibrant fast-growing gaming studio with an eye on the future. Our mission is to build fun and relaxing games meant to last, and we do that by bringing together a team of experts who love what they do. Our talented designers, artists, engineers, marketeers and analysts have created several games delivering joy and entertainment to over 20M users across more than 12 languages and 90 countries.About the RoleAs a Principal Applied Scientist, you’ll bridge rigorous science with production impact. This is not a pure engineering role, we need someone who thinks like a scientist first: formulating hypotheses, designing experiments with statistical rigor, and building models grounded in solid mathematical foundations. You’ll then work with Engineering to productionize these solutions at scale.You’ll own end-to-end problems in user behavior modeling, ad monetization optimization, and real-time decisioning systems. This means deep work on causal inference, probabilistic modeling, experimentation design, and optimization, not just applying off-the-shelf ML libraries. You’ll need to understand the ’why’ behind the models, not just the ’how.’We’re looking for someone who holds an advanced degree in a quantitative field, and has battle-tested their science in production environments. You should be equally comfortable working through the math behind a model as you are debugging production pipelines.Key ResponsibilitiesScientific Leadership & Problem Framing (50%)- Frame ambiguous business problems as well-defined scientific questions with testable hypotheses.- Design and analyze controlled experiments (A/B tests, multi-armed bandits) with proper statistical rigor.- Build probabilistic models for user behavior, lifetime value prediction, and ad response.- Apply causal inference techniques to untangle correlation from causation in observational data.- Stay current with research literature and bring cutting‑edge methods to production (when appropriate).Production ML Systems (20%)- Partner with Engineering to build real‑time decisioning APIs for game configuration and ad serving.- Implement proper monitoring, evaluation frameworks, and fallback mechanisms.- Ship models as stable services with clear performance guarantees.Experimentation & Measurement (20%)- Define success metrics and design experiments that provide unambiguous answers.- Build experimentation infrastructure and champion rigorous hypothesis testing across the org.- Quantify uncertainty and communicate statistical trade‑offs to non‑technical stakeholders.- Translate experimental results into business decisions with estimated impact.Strategic Collaboration & Mentorship (10%)- Work with Product, Marketing, and Ad Monetization to prioritize high‑impact projects.- Mentor other data scientists on scientific rigor.- Establish standards for model evaluation, code quality, and documentation.- Communicate complex technical concepts clearly to diverse audiences.Requirements- PhD or MSc in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, or closely related quantitative field.- 7+ years in data science with 2+ years owning production ML systems.- Expert‑level Python and SQL; comfortable writing production‑quality code.- Deep understanding of probability theory, statistical inference, and mathematical optimization.- Strong grasp of experimentation design and statistical hypothesis testing (power analysis, multiple testing corrections, variance reduction techniques).- Demonstrated ability to read, critique, and apply research papers to real‑world problems.Nice to have- Experience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) for deep learning and/or probabilistic programming (e.G., PyMC, Stan, TensorFlow Probability).- Built and deployed end‑to‑end ML systems that handle millions of requests/predictions.- Proficiency with cloud platforms (GCP, AWS, Azure) for data processing and model serving.- Published research in top‑tier venues (NeurIPS, ICML, KDD, JMLR, etc.) or industry conferences.- Relevant Domain Experience (1‑2 of the following strongly preferred):- Gaming/mobile apps: LTV prediction, retention modeling, monetization optimization- Ad tech: Bidding strategies, auction mechanisms, ad serving optimization- Marketplace/platforms: Two‑sided market dynamics, pricing, recommendations.- Subscription/SaaS: Churn prediction, upsell optimization, cohort analysisWhat we offer- The Role: Own data science solutions from scratch with full autonomy. Join a meeting‑less company, no status updates, no sync calls, just deep work and results.- Location & Flexibility: Based in Barcelona (office with terrace, BBQ, beer tap). Flexibility policy: the data team comes in regularly because they want to, not because they have to.- Compensation & Perks: Competitive compensation based on experience, phantom stocks, relocation package, health insurance, ticket restaurant, unlimited vacations, regular company off‑sites.- The Challenge: 15 games in market + ambitious pipeline. Industry inflection point with AI and automation. Profit‑backed studio with no VC pressure and resources to do it right.#J-18808-Ljbffr

We power people’s progress.At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.Meet the team!At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.G., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks.Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!What you’ll be doing:- Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership.- Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.- Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.- Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.- Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.- Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.- Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.- Lead cross-domain analytical initiatives (e.G., company-wide LTV modeling, pricing strategy, marketplace health framework).What you need to succeed:- Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact.- Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible.- Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.- Strong technical proficiency (e.G., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.- Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.- Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.- Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.- Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.Nice to have:- Background in 2-sided marketplaces or digital businesses (B2C, B2B2C).- Experience with product analytics tools (e.G. Amplitude, Mixpanel, Heap).- Experience applying advanced analytical methods (e.G., forecasting, causal modeling, pricing optimization) to drive structural business improvements.- Familiarity with data visualization tools (e.G., Tableau, Looker, Power BI).- Master/'s degree or PhD in a quantitative field.- Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.Why you’ll love it at Preply- An open, collaborative, dynamic and diverse culture; - A generous monthly allowance for lessons on Preply.Com, Learning & Development budget and time off for your self-development; - A competitive financial package with equity, leave allowance and health insurance; - Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub- Access to free mental health support platforms; - Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; - The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).Our Principles- Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.- We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.- Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.- Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.- Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.- Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.- Growth mindset - We proactively seek growth opportunities and believe today/'s best performance becomes tomorrow/'s starting point. We humbly embrace feedback and learn from setbacks.- Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.- Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.- One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.Diversity, Equity, and InclusionPreply.Com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.#J-18808-Ljbffr

Growth Data ScientistApplyremote type: Hybridlocations: Barcelona, Spaintime type: Full timeposted on: Posted Todayjob requisition id: R0021377Job Title: Data ScientistLocation: Barcelona (3 days per week in the office)Department: Data and TechnologyReports To: Data Scientist, GrowthJoin Aristocrat as a Growth Data Scientist and help us build world-class mobile gaming experiences! This role offers an outstanding opportunity to be at the forefront of driving player acquisition strategies using innovative data science techniques. At Aristocrat, we foster an inclusive and collaborative culture, where innovation and excellence are celebrated. You will play a pivotal role in advising our Growth team on budget allocation and channel efficiency, ultimately crafting the future of our hit games.## What You'll Do Counsel the UA team regarding budget planning and channel tactics based on comprehensive data analysis and modelling. Apply statistical analysis, causal inference, machine learning, and time-series modelling to understand user behavior and assess marketing channel efficiency. Proactively identify areas of improvement; build and run analyses and models that lead to actionable recommendations. Build and maintain forecasting models to support UA planning and decision-making. Translate complex analytical findings into clear, compelling insights for both technical and non-technical collaborators. Collaborate with Data Analytics and Engineering teams to ensure reliable data foundations and feature availability. Learn from and share ideas with a diverse, globally distributed team of data scientists.## What We're Looking For Degree in Mathematics, Statistics, Economics, Computer Science, or a similar quantitative field, or equivalent experience. 2+ years of professional data science experience, with a proven track record of delivering end-to-end data or ML projects. Practical experience applying data science to address real business challenges, ideally in a marketing, growth, or digital environment. Experience in gaming or digital entertainment is a strong plus. Proficiency in Python and SQL. Experience building forecasting and time-series models. Familiarity with causal inference methods (e.G. diff-in-diff, regression discontinuity, uplift modelling). Knowledge of statistical analysis and experimentation (A/B testing, significance testing). Experience with data visualization tools and presenting analytical results clearly. Pragmatic approach to problem-solving, favoring practical solutions. Comfortable working with ambiguity and switching context as business priorities evolve. Curious and proactive, with a deep understanding of problems before jumping to solutions. Collaborative, with excellent collaborator management skills.If you’re passionate about using data science to build outstanding gaming experiences and are ready to lead data products to success, we want to hear from you. Join Aristocrat and help develop the future of mobile gaming!## About us: Aristocrat and Product MadnessAristocrat is an Australia-based entertainment and content-creation company powered by technology to deliver world-leading mobile and casino games, entertaining millions of people across the globe daily. Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness), and regulated online real-money gaming (Aristocrat Interactive). Our team of over 7,300 employees across the globe are united by our company mission to bring joy to life through the power of play.Product Madness is part of the Aristocrat family, shares the mission of bringing joy to life through the power of play, with a world-class team that creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, and Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.Aristocrat is proud to be an equal opportunity employer.We celebrate diversity and do not discriminate based on gender, race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Diversity and Inclusion are integral to our values of Talent Unleashed; Collective Brilliance; Good Business, Good Citizen; and It’s All About the Player.Why Product Madness?As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.So, what’s stopping you?Travel ExpectationsNoneAdditional InformationAt this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.### About AristocratAristocrat Leisure Limited (Aristocrat) is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. Listed on the Australian Securities Exchange (ASX), Aristocrat (ASX code: ALL) is headquartered in Sydney, Australia, with over 7300 employees working in more than 20 locations across the globe. Aristocrat offers a diverse range of products and services including electronic gaming machines, casino management systems, mobile games and online real money games, including iLottery.Aristocrat has seven corporate functions and three reporting segments that span regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money gaming (Aristocrat Interactive). Our game and product portfolios collectively entertain millions of players worldwide every day.Across our global enterprise, Aristocrat aims to create long-term sustainable value for all stakeholders by upholding our core values and producing the world’s best gaming content. Our people-first mindset prioritises the safety and wellbeing of our people. We have ambitions to be an industry leader in responsible gameplay and we invest in employees’ development and offer career pathways, so they have what they need to do their best work at Aristocrat.Our values of Talent Unleashed, All About the Player, Collective Brilliance and Good Business, Good Citizen guide and inspire us every day. We are excited about the future of Aristocrat and united by our mission and we invite everyone to join us as we bring joy to life through the power of play!### Employment Equality StatementAristocrat Leisure Limited or its affiliates worldwide provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to any protected characteristic, such as race, color, sex, religion, national origin, physical or mental disability, genetic characteristic, pregnancy, breastfeeding or related medical condition, sexual orientation, gender identity, gender expression, ancestry, citizenship, age, marital, military and veteran status, or any other characteristic prohibited by local, state/provincial or federal law.If you need assistance or accommodation applying for a position, please reach out to helpdesk-recruiting@aristocrat.com.#J-18808-Ljbffr

The CompanytwentyAI are partnering with a European-based AI scale-up to hire a Lead Data Scientist as they scale their AI platform and client delivery capability. Our client builds production-grade AI products that help organisations solve complex, real-world business challenges. With a team of 300+ and backing from a top 10 global VC firm, they work closely with enterprise clients to design and deploy impactful AI solutions across areas such as Supply Chain, Finance, and Marketing.The RoleThis is a senior Machine Learning Engineering position where you'll take ownership of AI initiatives from discovery through to production delivery. You'll lead cross-functional AI engineering efforts and drive the design, deployment, and scaling of production-grade ML systems and AI platforms.Responsibilities- Leading multiple AI and ML engineering initiatives across product development and delivery- Translating business and product requirements into scalable, production-ready AI solutions- Designing and implementing end-to-end ML pipelines autonomously, from data ingestion and model training through deployment, monitoring, and optimization- Owning complex technical projects and leading engineering initiatives from architecture and design through implementation and standardization- Building and contributing to APIs, tools, platforms, and cloud-based AI infrastructure used across engineering and AI teams- Driving engineering best practices, code quality, MLOps standards, and scalable software architecture- Leading and mentoring ML Engineers and junior team members on technical delivery, software engineering practices, and AI/ML development- Ensuring the quality, scalability, and reliability of AI systems in production- Balancing hands-on engineering contribution with technical leadership and strategic decision-makingYour Background- Strong experience across Machine Learning Engineering, AI, and MLOps, including Deep Learning, GenAI, and production AI systems- Proven track record delivering scalable AI/ML solutions in product-led or engineering-driven environments- Solid software engineering fundamentals with strong Python expertise and experience building production-grade systems- Experience leading technical initiatives and mentoring engineers or multidisciplinary AI teams- Outstanding problem-solving and communication skills- Ability to manage multiple priorities while driving measurable technical and business outcomesLocationsBarcelona or Madrid. Hybrid working with minimum of 2 days per week in the office.#J-18808-Ljbffr

Seeking a Data Scientist AI Trainer for a remote, freelance role to design computational problems for AI training.Requires Python, SQL, statistical analysis, and ML expertise.

Se busca un Senior Data Scientist con experiencia en optimización metaheurística, modelado de reglas de negocio y programación con restricciones. Se requiere dominio de Python y bibliotecas de ciencia de datos. El puesto es híbrido, con contrato indefinido y salario bruto anual de 38.000€-40.000€.

Amaris Consulting is looking for a motivated Intern in Health Economics and Market Access (HEMA) to join our dynamic and international team in Barcelona! As part of our HEMA department, you will contribute to impactful projects that shape healthcare access and value worldwide. You’ll work alongside experts from 15+ nationalities, supporting clients across Europe, North America, and Asia. Our services span Evidence Review & Value Communication, Strategic Market Access, Health Economics, and Biostatistics. Your Responsibilities: Project Support: Act as an Analyst on HEOR & Market Access projects Literature Reviews: Conduct targeted and systematic literature reviews to synthesize scientific data, inform economic models, publish scientific manuscripts etc. Market Access: Contribute to projects with global stakeholders and local affiliates (HTA dossiers, KOL & payer interviews, clinical dossiers, reimbursement packages etc.) Value Communication: Produce global value dossiers and highlight key value messages. Delphi Panels: Support the team on consensus-building activities such as Delphi Panels and other methodologies. Reporting: Develop reports and presentations for external dissemination of results. Communication: Support internal and external communications. Business Development: Contribute to proposal development and business growth. Your Qualifications: Previous experience in Life Sciences (internship, academic, or professional). Strong clinical background and understanding, capacity to work across diverse therapeutic areas and project types. Understanding of the Global Health Economics and Market Access landscape. Ability to synthesize scientific information and deliver quality work on time. Organized, methodical, and able to work both independently and as part of a team. Excellent oral and written communication skills in English (French, Spanish, or other languages are a plus). Proficient in Word, Excel, and PowerPoint. What You’ll Get From Us: Diversity & Inclusion: We welcome all qualified candidates regardless of gender, orientation, ethnicity, beliefs, age, or disability. International Environment: Offices in Montreal, Toronto, London, Paris, Barcelona, Sofia, and Shanghai. Career Growth: Be part of a global consulting group with 6,000+ team members in 60+ countries. Impact: Work on projects that make a real difference in healthcare. Our Recruitment Process Brief Call: Get to know each other and discuss your motivations. Interviews: Meet your future manager and team members (average 3 interviews). Case Study: Depending on the role, you may be asked to complete a technical or problem-solving exercise.

Au sein de notre bureau espagnol nous sommes à la recherche de notre prochain Senior Talent Acquisition Specialist pour accompagner notre croissance.Rattaché(e) à notre Team Leader et en lien avec nos commerciaux basés à Paris et l’île Maurice, tu participeras activement à la sélection et aux placements de consultants IT et finance chez nos clients.Tes principales missions :- S’approprier le besoin du client (développeur web, consultant SAP, data scientist, devops …).- Identifier et mettre en œuvre les méthodes et canaux de sourcing adéquats par rapport au profil recherché (sites spécialisés, réseaux sociaux…).- Rédiger les offres de missions de manière attractive et les publier sur nos outils.- Mettre en place une stratégie de communication digitale sur les réseaux sociaux.- Réaliser les entretiens de qualification par téléphone ou visio et négocier les tarifs des consultants.- Rédiger des comptes-rendus d’entretiens.- Enrichir notre vivier de consultants.#J-18808-Ljbffr

We power people’s progress.Envíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud.At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.Meet the team:At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.As a Data Scientist for the Payments Operations (PayOps) team, you will play a crucial role in optimizing our payments ecosystem and driving our monetization strategy forward. Embedded within a cross-functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions. Your work will focus on analyzing and improving payment workflows, including checkouts, pay-ins, and payouts, to ensure a seamless experience for our students and tutors alike, as well as leading our Fraud management function.Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!What you’ll be doingDevelop a deep understanding of the Payment Operations dynamics of our product, including user behavior and the economics of Preply’s marketplace.Analyze data related to payment processes, including pay-ins and pay-outs, to uncover insights and identify opportunities for optimization.Monitor transaction performance to detect and troubleshoot anomalies in payment flows (e.G., failed transactions, latency issues, fraud patterns).Lead systematic analysis of fraud and risk patterns, including regular review, cleaning, and optimization of existing risk rules, and the development of data-driven, smart rules that go beyond static or manual blocks.Act as a key data partner to ML Platform and AI teams, bridging Product, Payouts, and Payment Operations with advanced analytics and modeling capabilities, ensuring data science fully complements product and operational ownership in payments and fraud.Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.What you need to succeedAt least 4 years of experience in fraud management and payment operations analytics, including ML‑based fraud systems, pattern analysis, rule management, and product optimization through experimentation.Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.Proficiency in one or more programming languages (e.G., SQL, Python), with the ability to write efficient and scalable code.Experience with advanced statistical modeling, predictive analytics or machine learning.Curiosity, problem‑solving and critical‑thinking skills, as well as the ability to proactively identify and address challenges.Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.Nice to haveBackground in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).Experience with product analytics tools (e.G. Amplitude, Mixpanel, Heap).Familiarity with data visualization tools (e.G., Tableau, Looker, Power BI).Master's degree or PhD in a quantitative field.Previous experience in mentoring or coaching others.Why you’ll love it at PreplyAn open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on, Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub; Access tofree mental health support platforms; Access toGympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).#LI-AG1Our PrinciplesCare to change the world - We are passionate about our work and care deeply about its impact to be life changing.We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.Now is the time - In a fast‑paced world, it matters how quickly we act. Now is the time to make great things happen.Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high‑performing teams that can make a real difference.Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. xhfqzwm That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.#J-18808-Ljbffr

A leading travel technology company in Barcelona is seeking a Data Scientist to design and implement advanced analytics and machine learning solutions. Candidates should have a degree in a quantitative field and experience in data analysis, predictive modeling, and coding in Python. This position offers a competitive salary and benefits within a dynamic, diverse environment focused on innovation and personal growth.#J-18808-Ljbffr

Experteer Overview In this role you translate business questions into data-driven insights that guide game strategy. You will study player behavior, run analyses, and propose actionable recommendations. You collaborate with stakeholders and communicate complex results clearly to influence decisions. You’ll work on large, complex datasets within a skilled team, tackling diverse methods from statistics to causal inference. This position offers meaningful impact on our games and opportunities to grow with the team. Compensaciones / Beneficios • Discuss stakeholder requirements for analysis and translate them into questions • Conduct exploratory data analysis and frame research questions • Apply statistics, causal inference, machine learning, econometrics, and other techniques to address problems • Communicate results clearly and effectively to non-technical audiences • Tackle unclear requirements and define scope autonomously on complex projects • Learn new methodologies and expand data science toolkits • Utilize diverse data science tools and approaches across projects Responsabilidades • A degree or equivalent work experience in a data-driven field • Ability to visualize data effectively for communication • Experience in statistics, mathematics, machine learning, econometrics, causal techniques, Monte Carlo modelling, etc. • R/Python experience • Knowledge of SQL Requisitos principales •

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. Por favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud. About the Role CrowdStrike is seeking a Sr. Data Scientist to join our team building the next generation of AI assistants powered by large language models (LLMs). You will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving innovation in our AI capabilities. You will shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in AI assistants that will revolutionize how we access information and interact with technology in the cybersecurity space. This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional. What You’ll Do Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies Mentor and guide Data Scientists while fostering a culture of engineering excellence Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership Establish best practices, technical standards, and evaluation frameworks for the team What You’ll Need Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models Deep expertise in LLM training / deployment at scale Strong technical leadership experience, including mentoring teams and driving technical strategy Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies Expert-level understanding of GPU technologies and optimisation techniques Outstanding communication skills with ability to influence senior stakeholders Track record of solving complex technical challenges at scale Bonus Points Patents or significant intellectual property contributions in AI Strong research portfolio with publications in leading AI journals and conferences Experience with cybersecurity applications of machine learning Track record of successful research-to-production implementations at scale History of contributions to open-source ML projects Benefits of Working at CrowdStrike Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. xcskxlj #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Tamarind Intelligence, ubicada en Barcelona, busca un especialista en aprendizaje automático para desarrollar y evaluar algoritmos predictivos y personalizados. Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. Se espera que el candidato aporte un profundo conocimiento en modelado estadístico y experiencia en el ciclo de desarrollo de modelos de extremo a extremo. Ofrece un ambiente inclusivo y beneficios como seguro médico privado, plan de acciones y posibilidad de trabajar desde casa. Se requiere excelente comunicación en inglés y experiencia en herramientas de orquestación. xcskxlj #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

ppBarcelona, Spain; London, United Kingdom /p pAt Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek’s Top 100 Global Most Loved Workplaces. /p pWe think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. /p pReady to join us? /p h3Your Role /h3 pWe’re hiring a Senior Data Scientist to join our Athlete Performance team in London. You’ll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensor, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams. /p pFor this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona. /p pAs a Senior Data Scientist, you’ll: /p ul libCreate and improve algorithms. /b You’ll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification , turning raw data into actionable insights for our users. /li libDeliver insights at scale. /b You’ll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters /li libCollaborate across teams. /b You’ll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards. /li libLead high-impact projects. /b You’ll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl. /li /ul h3Must-Haves /h3 ul libWearable and GPS expertise. /b You have extensive experience working with wearable devices, IMU sensors, GPS tracking and biometric data. /li libStrong mathematical background. /b You’re highly skilled in statistical operations and physics-based calculations used to analyze large datasets. /li libProven track record. /b You’ve built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing. /li libProduct-focused. /b You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes. /li /ul h3Nice-to-Haves /h3 ul libSubject matter expertise. /b You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes. /li libKnowledge of foundational models. /b You have experience fine-tuning visual or large language models for new domains. /li libReal-time systems experience. /b You’re comfortable working with models designed for low-latency environments. /li libAdvanced degree. /b A PhD in biometrics, mathematics or a related field is a plus. /li /ul h3Our Role /h3 ul libChampion work-life harmony. /b We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. /li libGuarantee autonomy. /b We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. /li libEncourage career growth. /b We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing. /li libProvide an environment to help you succeed. /b We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work. /li libSupport your wellbeing. /b Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. /li /ul h3Compensation /h3 pThe base salary range for this role is displayed below—bstarting salaries will typically fall near the middle of this range. /b /p pWe make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. /p pThis role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. /p pbBase Salary Range /b /p h3bInclusion at Hudl /b /h3 pHudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong. /p pWe offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. /p pWe also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you. /p pInterested in building your career at Hudl? Get future opportunities sent straight to your email. /p pU.S. Equal Opportunity Employment Information (Completion is voluntary) /p pIndividuals seeking employment at Hudl are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. /p pCompletion of the form is entirely bvoluntary /b. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. /p pThe Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the “bApplicable Legislation /b”) for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: /p ul liHudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl’s headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. /li liDiversity information is defined by the DPA as “sensitive”. The information you give will be held on both manual and electronic systems by Hudl. /li /ul /p #J-18808-Ljbffr

Smadex, a leading advertising technology company in Barcelona, is looking for a Data Analyst/Data Scientist to join their team. The role involves analyzing large data sets to influence product strategies and collaborating across teams.The ideal candidate will have over 3 years of experience, expertise in Python and SQL, and a degree in a quantitative field. Benefits include a great compensation package, flexible work hours, and various team-building events.#J-18808-Ljbffr

Fairygodboss is looking for a Lead Data Scientist to work with one of the most comprehensive employment data sets. No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. In this role, you will apply machine learning to transform business processes and enhance client experiences, collaborating closely with engineering teams to solve real-world challenges. The ideal candidate will have 6-8 years of relevant experience, a Bachelor's degree, and be fluent in Python. xcskxlj Join a dedicated team within a culture of collaboration that drives impact daily. #J-18808-Ljbffr

Why SoftwareOne?SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world‑class learning and development programs. Whether you’re passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose‑driven culture where your ideas matter, your growth is supported, and your career can go global.The roleDo you love turning data into real impact? Want to be part of a friendly, dynamic, and experienced team, where innovation meets collaboration? Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation? We are looking for a Data Scientist passionate about AI, ML, and cloud technologies to design impactful, intelligent solutions. You will work on projects ranging from predictive modeling and segmentation to conversational AI and large language models, delivering end‑to‑end machine learning solutions from understanding business needs, feature engineering, model training, deployment, and technical delivery. If you enjoy bringing AI ideas to life, leading by example, and staying at the forefront of ML technologies, we would love to meet you.Key Responsibilities- Work on AI and Machine Learning projects hosted in Azure, AWS and Google clouds.- Solve advanced ML challenges: forecasting, segmentation, targeting and more.- Build solutions based on Large Language Models (LLMs): text generation, summarization, and conversational AI.- Work with speech, text, image, and video analytics problems.- Lead projects from the technical side, supporting delivery excellence.- Prepare documentation, conduct trainings, and run knowledge transfer sessions.- Collaborate with clients to gather requirements and translate them into technical solutions.Practical InformationLocation: Madrid, Barcelona, León or Santiago de Compostela | Work Arrangement: Hybrid | Contract type: full time | Language requirements: Fluent Spanish and English.What we need to see from you- Commercial experience in Machine Learning / Artificial Intelligence or a PhD in this field.- Hands‑on experience with Azure Cloud Platform (additional experience in AWS or GCP would be a plus).- Very good knowledge of Python and solid understanding of SQL.- Familiarity with Azure AI Services is a plus.- Solid theoretical background in machine learning and understanding of LLM concepts.- Experience with MLflow or other ML lifecycle tools is a plus.- Team‑oriented mindset and ability to mentor junior team members.What’s on offer- Global company culture: We defined our 6 core values through our company culture (https://www.Softwareone.Com/en/our-story/our-values).- A mentor who supports your successful start and is at your side with advice and action.- President’s Club: Recognition awarded by leadership and your peers.- Flexible work: Do great work from home but also visit local office to deliver excellence in team relationship.- Lifelong education: A variety of training and development opportunities.- Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future.Job FunctionSoftware & CloudAccommodationsSoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.at SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.#J-18808-Ljbffr

We power people’s progress. Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled – and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human‑led, AI‑enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries – and we’re only getting started. As a category‑defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! Preply’s Data & Applied AI team sits at the intersection of data intelligence and AI‑driven product innovation. We build the data foundations, analytics capabilities, and applied AI systems that power Preply’s growth, from personalisation and matching algorithms to marketplace intelligence, experimentation platforms, and emerging AI‑powered learning features. As Preply scales and AI becomes increasingly central to our product and business strategy, the demands on this team are growing fast. We need someone who can bring operational rigour, strategic clarity, and cross‑functional coordination to help the team deliver at its best. This role reports directly to the VP of Data & Applied AI. This is not a people‑management role. It is a high‑impact individual contributor position that acts as a force multiplier for the VP and the broader Data & Applied AI organisation, ensuring the team operates with focus, transparency, and momentum. About the role: You will be the operational backbone of the Data & Applied AI team and a trusted partner to the VP. You will own the team’s planning cadences, drive cross‑functional alignment, keep strategic initiatives on track, and ensure stakeholders across the company have visibility into the team’s work and impact. You will also identify inefficiencies and design better ways of working, so the team can focus on what matters most. If you are someone who thrives at the intersection of strategy and execution, who can navigate technical environments with confidence, and who gets energy from making teams work better, this role is for you. What you’ll be doing: Operating cadence & planning Own and run the operational rhythm of the Data & Applied AI org: team syncs, roadmap reviews, OKR cycles, quarterly planning, and retrospectives. Lead the annual and quarterly planning processes for the team, linking data and AI initiatives to company‑level goals and product strategy. Manage the VP’s leadership calendar and key team meetings, including agenda setting, preparation of materials, coordination with presenters, and follow‑ups for cross‑functional reviews, executive updates, and off‑sites. Own the preparation cycle for leadership forums and company‑wide reviews where the Data & Applied AI team presents: ensuring the right content, framing, and data are ready. Cross‑functional alignment & stakeholder communication Serve as the connective tissue between the Data & Applied AI team and Product, Engineering, Commercial, and other functions, ensuring priorities are aligned and dependencies are visible. Own stakeholder communication: regular updates, progress reports, and dashboards that give leadership and partner teams clarity on what the team is delivering and why. Represent the Data & Applied AI team in company‑wide planning processes (e.g., product planning, OKR alignment, resource allocation). Project tracking & delivery Track progress on key data and AI initiatives end‑to‑end, from scoping through delivery, identifying risks early and driving resolution. Support the VP in managing the team’s portfolio of work: ensuring the right items are prioritised, resourced, and moving forward. Drive accountability across workstreams without being a bottleneck, using lightweight but effective tracking and reporting mechanisms. Operational improvement & efficiency Continuously identify friction in how the team works, whether in processes, tooling, collaboration patterns, or information flow, and design practical improvements. Build and maintain scalable processes that help the team operate efficiently as it grows (e.g., intake workflows, documentation standards, knowledge sharing). Support headcount planning, resource allocation, and team capacity analysis with data‑driven models. Strategic initiatives Lead or support high‑impact strategic projects that span the Data & Applied AI org, such as evolving the team’s operating model, defining AI adoption frameworks, or assessing build‑vs‑buy decisions for data infrastructure. Conduct analysis and research to inform key decisions: sizing opportunities, benchmarking approaches, or evaluating trade‑offs. What you need to succeed: 7+ years of experience in strategy, operations, or planning, ideally in a high‑growth tech environment. Hands‑on experience working closely with data, analytics, or AI/ML teams: you understand how these teams operate, what they deliver, and what slows them down. Technical familiarity: you can follow conversations about data pipelines, ML models, experimentation frameworks, and AI product features without needing everything translated. You are not expected to write code, but you should be comfortable in technical environments. Proven track record running operating cadences (OKRs, roadmap reviews, business reviews) and driving cross‑functional alignment in complex organisations. Strong program and project leadership: you take ambiguous, cross‑functional problems from definition to delivery with minimal hand‑holding. Excellent stakeholder management: you build trust with both technical and non‑technical leaders, communicate with clarity, and know how to influence without authority, including executive leadership. Highly data‑driven: comfortable building models, spreadsheets, and dashboards to inform decisions. SQL or BI tool experience (e.g., Looker, Tableau) is a plus. Exceptional bias to action: you keep momentum high, unblock work proactively, and know how to get things done in fast‑moving environments. Strong written and verbal communication skills, with experience producing executive‑level updates, presentations, and documentation. Proficient user of AI tools (e.g., ChatGPT, Claude, Copilot, Cursor): you actively use AI to accelerate your work, whether for drafting, analysis, research, or automation, and you stay current with how these tools are evolving. Nice to have: Previous experience as a data analyst, data scientist, or in a technical role before moving into strategy/operations. Familiarity with AI/ML product development lifecycles and the specific challenges of shipping AI‑powered features. Experience with marketplace or edtech businesses. SQL fluency and comfort working directly with data tools. Experience supporting VP or C‑level leaders as a strategic partner or Chief of Staff‑type role. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed‑Tech company. xcskxlj That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

ph3Senior Machine Learning Platform/Ops Engineer /h3 h3Location /h3 pBarcelona /p h3Employment Type /h3 pFull time /p h3Location Type /h3 pHybrid /p h3Department /h3 pEngineering /p h3bWe power people’s progress. /b /h3 pAt Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. /p pWe’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. /p pEvery Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. /p h3About the role /h3 pAs Preply scales its AI-powered learning platform, we’re looking for an experienced bSenior ML Platform/Ops Engineer /b to help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. /p pYou’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle. /p h3What you’ll be doing /h3 ul liBuild and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton /li liSupport AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) /li liDefine and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.) /li liDesign and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent) /li liContribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams /li liEnsure ML services are modular, testable, and monitored from day one /li liExploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving) /li /ul h3What we’re looking for /h3 ul liProven experience designing and deploying ML systems in production (5+ years in relevant roles) /li liProficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.) /li liExperience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows /li liUnderstanding of ML model lifecycles: training, validation, deployment, and monitoring /li liStrong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s) /li liAbility to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven. /li liExposure to LLM serving, vector databases, or GenAI-powered product flows /li /ul h3Why you’ll love it at Preply /h3 ul liAn open, collaborative, dynamic and diverse culture; /li liA generous monthly allowance for lessons onPreply.com, Learning Development budget and time off for your self-development; /li liA competitive financial package with equity, leave allowance and health insurance; /li liAccess to free mental health support platforms; /li liThe opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) /li /ul h3Diversity, Equity, and Inclusion /h3 pPreply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. /p /p #J-18808-Ljbffr

A career at Asegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato. Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their "me time" moments, we're in the business of helping people thrive. Responsibilities As a Senior Data Scientist , reporting to the Head of Data Science in our Data & Analytics team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience. You will work on customer-facing problems such as search and ranking, recommendations, segmentation, lifecycle modelling including activation, churn, and reactivation, lead scoring, and personalization. You will operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems. You will take real ownership, contributing to data pipelines, partnering closely with engineers on real-time systems, and ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue. You will collaborate cross-functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem-solver who can clearly communicate trade-offs and impact. Qualifications Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer-facing product environment Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems Strong Python and SQL skills, with the ability to work across modelling and data preparation Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. Additional skills Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role Experience working with real-time or near real-time systems Exposure to pricing or marketing optimisation problems Benefits This is a fully remote position. We take pride in being a globally distributed team. A generous holiday allowance of 26 days plus public holidays. Access to a global learning and development program, wellness benefits, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. xcskxlj If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at , so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed. #J-18808-Ljbffr

ph3Overview /h3 pWe’re seeking a Senior Data Scientist to build and scale machine learning solutions that drive high-impact business outcomes. This role partners closely with business and technology teams to deliver advanced analytics, production ML systems, and data-driven insights supporting our global Strategy and Transformation agenda. /p h3Responsibilities /h3 ul liLead and deliver large-scale data analytics and machine learning initiatives /li liDesign, build, deploy, and maintain scalable ML models and data pipelines in production /li liCollaborate with cross-functional teams to analyze large datasets and develop custom models that uncover actionable insights /li liEstablish best practices for clean, maintainable, and production-ready ML code /li liProvide technical thought leadership and support data-driven decision-making across the organization /li liCommunicate results, trade-offs, and impact to both technical and business stakeholders /li /ul h3Qualifications /h3 ul liMaster’s Degree in Data Science, Computer Science, Statistics, or equivalent /li li3+ years of relevant professional experience in data science or machine learning /li liProven experience designing and delivering ML solutions using diverse data sources /li liStrong Python programming skills and solid software/data engineering fundamentals /li liExperience with deep learning frameworks such as TensorFlow or PyTorch /li liStrong foundation in statistical and mathematical modelingExperience with cloud-based and distributed computing platforms /li liWorking knowledge of Generative AI technologies, including LLMs, prompt engineering, and RAG architectures /li liAbility to clearly communicate complex technical concepts to diverse audiences /li /ul h3Benefits /h3 ul liHybrid work model: combination of remote and collaborative office experience to enable innovation /li liEntrepreneurial environment in leading international company /li liProfessional growth possibilities learning opportunities /li liVariety of benefits to support your physical, emotional and financial wellbeing /li liVolunteering opportunities to help external communities /li /ul pbWhat makes us different? /b /p p*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability. /p /p #J-18808-Ljbffr

Experteer Overview As a Data Scientist in the Data u0026amp; Analytics team, you translate data into actionable business insights using ML, predictive modeling, and statistics. You will partner with business leaders, product, and engineering to shape data-driven solutions aligned with company goals. You’ll build and maintain models to forecast trends and optimize processes, while developing the data science roadmap with leadership. This role offers the chance to impact decision-making at scale within a collaborative, cross-functional environment. Compensaciones / Beneficios • Understand business challenges and develop data-driven solutions aligned with strategic objectives • Collaborate with leadership to define the data science roadmap and priorities • Build, deploy, and maintain machine learning models to forecast trends and drive outcomes • Analyze large datasets and present actionable insights to technical and non-technical stakeholders • Advise, build, and improve the data science pipeline to support analytics needs • Collaborate with business leaders, product teams, and engineers to ensure data solutions meet requirements • Stay updated with trends in data science, AI, and ML to enhance team capabilities Responsabilidades • 5+ years of data science experience solving complex business problems • Strong ability to align data science projects with business objectives • Excellent communication to translate technical insights for stakeholders • Problem-solving skills with experience handling unstructured data • Proficiency in Python, R, or Scala • Experience with ML frameworks (TensorFlow, Scikit-learn) • SQL experience and handling large datasets • Familiarity with cloud platforms (AWS, Azure) and big data tools (Hadoop, Spark) Requisitos principales •

Staff Data Scientist Location: Barcelona Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible. Employment Type: Full time Location Type: Hybrid Department: Data We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you’ll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework). What you need to succeed: Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Nice to have: Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams. Why you’ll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on , Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. xcskxlj This site is protected by reCAPTCHA and the GooglePrivacy Policy andTerms of Service apply. #J-18808-Ljbffr

Senior Applied Scientist (Researcher) – Pricing A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Mucha suerte! Department: Analytics Department Employment Type: Full Time Location: Spain Description We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model, where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production xcskxlj ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Conditions Stable salary, official employment Remote work mode and flexible schedule Access to professional counseling services, including psychological, financial, and legal support Diverse internal training programs Partially or fully paid additional training courses All necessary work equipment #J-18808-Ljbffr

ppbBidMachine Exchange /b – a fast-growing global programmatic exchange built for the future of in-app advertising. /p pAs part of the Appodeal ecosystem, BidMachine operates with a strong US foundation and an international presence, with teams across Warsaw, Barcelona, Parkland (FL), and remote experts around the world. We combine deep AdTech expertise, proprietary technology, and a data-driven mindset to deliver transparency, performance, and efficiency in the mobile advertising ecosystem. bWhy BidMachine? /b At BidMachine, we are building more than an exchange — we are shaping the infrastructure that powers fair, efficient, and scalable in-app programmatic advertising. Our mission is to create a high-performance marketplace where publishers maximize value and advertisers access premium inventory with full transparency and control. We are proud of our technology, our ambitious vision, and our globally distributed team of talented professionals who continuously raise the bar in AdTech. /p pbOwnership Accountability /b We move fast, take responsibility, and think like builders. Every team member has a direct impact on product growth and market success. /p pbData-Informed Excellence /b We leverage data to make smarter decisions, optimize performance, and build scalable solutions that deliver measurable results. /p pbInnovation Technical Depth /b We solve complex programmatic challenges with cutting-edge technology and a deep understanding of the ecosystem. /p pbGlobal Collaboration /b We work across cultures, time zones, and disciplines — united by shared goals and high standards. /p pbAmbition Impact /b We are here to build something significant — a best-in-class exchange that competes with the strongest players in the market. /p pThe team is looking for a bSenior Data Scientist /b to join us in Barcelona. /p h3Responsibilities /h3 ul liAnalyze data to identify trends, patterns, and actionable insights, independently solving complex data-related problems. /li liDesign and develop end-to-end data science solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. This includes creating models tailored to optimizing ad targeting, bid strategies, and campaign performance analysis. /li liCollaborate with both technical and business teams to understand requirements and translate them into data-driven solutions and insights, particularly focusing on enhancing advertising effectiveness and ROI. /li liMaintain and optimize existing data processing pipelines and machine learning models, with a strong emphasis on applications within the ad‑tech ecosystem, ensuring high efficiency and alignment with dynamic market trends. /li liProficiency in Python and SQL. /li liExperience with manipulation frameworks such as PySpark and Pandas. /li liFamiliarity with Dagster (or similar) as ETL tool and Druid (or similar) as OLAP database. /li liSkilled at using cloud services such as AWS etc. /li liHands‑on experience in DNN models training libraries and frameworks (pytorch, hydra, comet etc.). /li liKnowledge of Databricks will be a plus. /li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. /li li5+ years of experience in data science, preferably in a product-focused environment. /li li3+ years of experience in AdTech. /li liStrong analytical skills with the ability to derive insights from complex datasets. /li liProficiency in statistical modeling and machine learning techniques. /li liExcellent communication and collaboration skills, with the ability to work effectively in a cross‑functional team environment. /li /ul pWith a powerful product, strong market positioning, and a team that strives for excellence, BidMachine offers a unique opportunity to grow, innovate, and make a tangible impact in the programmatic advertising space. /p pbBuild the future of mobile AdTech with us! /b /p /p #J-18808-Ljbffr