Data scientist jobs in BadalonaCreate job alerts

OverviewWELCOME TO SITAAt SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work® by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.Are you ready to love your job?The adventure begins right here, with you, at SITA.PURPOSEAs an Optimization Scientist, you will apply operations research and mathematical optimization to design and build the optimization engines that recover airline operations from disruption — turning hours of manual replanning into minutes of high-quality, automated recovery decisions.You will be accountable for a disruption-recovery solver pipeline end-to-end: from mathematical formulation to production code running against real airline operations. Reporting to the Head of Disruption Management Solutions (OCC Assistant Manager), you will be a part of the OCC Assistant Manager team responsible for OCC Assistant Manager, SITA's AI-powered Operations Control Center solution that helps airlines manage and recover from operational disruptions.We are hiring two Optimization Scientists to grow the team. KEY RESPONSIBILITIESOwn a disruption-recovery solver pipeline end-to-end — from mathematical formulation to production codeTranslate airline-specific rules and constraints (crew legality, aircraft routing, passenger reaccommodation) into solver formulationsValidate solver solutions against real disruption cases, working side by side with our Solutions ExpertsOwn solution-quality and runtime KPIs, driving the trade-off between solution quality and solve timeExtend solver capabilities and ship new optimization functionality as the product evolvesCollaborate with Back-End and Data Engineering teams to integrate your solver outputs into the live productBuild deep airline-operations domain knowledge and turn it into better formulationsQualificationsWHO YOU AREYou have a strong foundation in mathematical optimization and operations research, with depth in areas such as linear programming, mixed-integer programming, network flow algorithms, large-scale optimization techniques or metaheuristicsYou have hands-on experience with solvers such as Gurobi, CPLEX or SCIPYou are proficient in Python and SQL, work fluently with Git and optimization libraries, and write code that is ready for productionYou can translate complex business rules into algorithmsYou work at the intersection of math and engineering, bridging OR theory and production codeYou are self-directed and ramp up new domain knowledge independentlyYou are detail-oriented — debugging solver behavior requires precisionYou think in systems: you understand how formulation choices affect solver performance end-to-endYou hold a degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering or a related quantitative field. MSc or PhD is a plusABOUT YOUR SKILLSYou possess Airline Operations Management knowledge and understand the operational, commercial, and customer service challenges faced by airlines. NICE-TO-HAVEExperience with column generation or decomposition methodsC++ programming skillsFamiliarity with airline operations: IROPS/disruption management, crew legality rules, aircraft rotations or passenger rebookingWHAT WE OFFERWe're all about diversity. We operate in 200 countries and speak 60 different languages and cultures.We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.С Flex Week: Work from home up to 2 days/week (depending on your team's needs)Flex Day: Make your workday suit your life and plans.Ð Flex-Location: Take up to 30 days a year to work from any location in the world.Ð Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year.We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.Ð Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive.From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities.Your development journey is supported every step of the way.Ð Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.Salary / Compensation NoteHidden (-999) Salary / Compensation NoteHidden (-999)

Due to our recent business expansion and facility growth, we are looking for a Pharmacokinetic Scientist to join our dynamic team. As, Pharmacokinetic Scientist your responsibilities will include: Act as principal investigator / study director, taking responsibility for assigned projects Act as coordinator of pharmacokinetic (PK) activities through all group Design, conduct, interpret and summarize pharmacokinetic and pharmacodynamic analyses in support of drug development Drive preclinical and clinical pharmacokinetic non-compartmental and compartmental Analysis using Phoenix WinNonlin Write protocols and reports covering objectives, methods, analysis and results for drug bioanalysis in different species and biological matrices (plasma/serum/whole blood, urine, faeces, tissue homogenates…) Analyse and interpret preclinical and clinical PK studies such as DMPK, ADME, BE/BA, Tox, SAD, MAD) and data to optimize PK plan, sampling and dosing Provide expert ADME and DMPK guidance into the non-clinical and clinical studies Follow Good Laboratory Practices (GLP) and Good Clinical Practices (GCP), Company Standard Operating Procedures (SOPs) and Sponsor Study protocols Support business development and marketing activities, foster client relationships and help new clients onboard Attend meetings with Sponsor to explain PK results of the studies Stay tuned in with the latest PK developments, regulatory guidance and SOP benchmarks to improve the internal PK practices. Languages: Fluent Spanish Advanced English – Professional English proficiency Key Competencies: Strong organizational skills Attention to detail Analytical mindsetEffective communication Stakeholder management Problem-solving skills Ability to manage multiple priorities Customer and service orientation Quality and compliance focus #J-18808-Ljbffr

Senior Clinical ScientistICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.As a Senior Clinical Scientist at ICON, you will design and conduct clinical studies that evaluate the safety and efficacy of innovative treatments.What You Will Do:Provide strategic leadership and demonstrating accountability for the clinical programs supporting early clinical development and clinical pharmacologyMaintain updated knowledge of competitive landscape on current assets or evolving standards of care for indications of interest and provide subject matter expertise on cross-functional project teamsAuthor/Review/Approve clinical protocols, analysis plans, study reports and regulatory submissions in collaboration with physicians, statisticians and other critical functions.Execute Clinical & Clinical Pharmacology studies in close collaboration with Clinical OperationsReview and summarize clinical safety or efficacy data in collaboration with the Medical MonitorWork closely with Quantitative Clinical Pharmacology, Translational Sciences and Statistics to develop protocols and summarize analysisContribute to the development of program strategy for assigned compounds/programs including participation in the preparation of clinical development plansDraft and review of clinical scientific documents such as IND, IND amendments, Investigator Brochures, Annual Reports and other Health Authority submissionsEnsure adherence to agreed timelines and budgets to ensure prompt and accurate execution of deliverables from clinical studies and programsYour Profile: At least 5 years' experience and a, PhD, PharmD or MD degree or at least 10 years' experience with BS/MS degree with emphasis on early development, clinical pharmacology or a related disciplineAbility to critically analyze problems and provide creative solutionsExperience in clinical pharmacology, immunology or oncology is preferredEarly phase/Phase I experience required#LI-REMOTE#LI-NR1 Employment with ICON is contingent upon having the legal right to work in the country where the role is based.Rewards & BenefitsICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.Benefits may include: Competitive base salary and performance related incentivesHealth and wellbeing programmes including medical, dental, and vision coverage where applicableRetirement and pension plansLife assurance and disability coverageEmployee assistance programmes and wellbeing resourcesLearning and development opportunities through structured training and career pathwaysBenefits may vary depending on role and location. Visit our careers site to read more about the benefits ICON offers.Inclusion and AccessibilityICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.Are you a current ICON Employee? Please click here to applySummaryLocation: UK, Reading; Spain, Barcelona; Poland, GdanskType: Full time

About HappyRobotHappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.About the RoleYou’ll help make data a core part of how we build and improve HappyRobot’s products.You’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance. You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows. You’ll turn complex data into clear insights that influence our product and ML roadmaps.What You’ll DoDefine and track product, feature, and agent-level metrics.Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.Measure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.Connect offline model evaluations with production performance and real-world customer impact.Conduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance.Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements.Build statistical models, simulations, and analytical frameworks to support product and ML decisions.Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.Build dashboards and self-serve tools that help teams understand product and agent performance.Communicate findings and recommendations clearly to technical and non-technical stakeholders.Must Have4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis.Advanced proficiency in SQL and Python.Experience defining and operationalizing product and feature metrics.Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.Strong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact.Experience partnering closely with Product, Engineering, or Machine Learning teams.Strong written and verbal communication skills.High attention to detail and commitment to analytical accuracy.Founder mindset: ownership, independence, curiosity, and willingness to go deep.Nice to HaveExperience working with large language models, AI agents, generative AI, or other probabilistic ML products.Experience measuring the production impact of model, prompt, retrieval, or orchestration changes.Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.Experience analyzing conversational, NLP, speech, or other unstructured data.Experience with enterprise or B2B products.Experience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research.Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.Prior experience in a fast‑growing startup or other highly ambiguous environment.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top‑Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world‑class team of engineers and buildersThe personal data provided in your application and during the selection process will be processed by HappyRobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.Happyrobot.Ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.#J-18808-Ljbffr

Are you looking for a new challenge where advanced optimization meets real-world impact?We are looking for a Senior Optimization Scientist to join a cutting‑edge technology project within the aviation and travel sector, working on complex, high‑impact optimization problems.You will collaborate with cross‑functional teams to translate business needs into mathematical models and robust optimization algorithms, contributing to innovative and production‑ready solutions.Key Responsibilities:Optimization & AlgorithmsDesign, develop, and implement classical and metaheuristic optimization algorithms (e.G. Genetic Algorithms, PSO, Simulated Annealing).Create custom optimization solutions to solve complex mathematical and engineering problems.Translate complex business rules into mathematical constraints.Collaborate closely with technical and business stakeholders to design solutions for real operational challenges.Data Analysis & PreparationCollect, clean, and preprocess data from multiple sources.Identify patterns and insights to improve optimization model performance.Evaluate and fine‑tune optimization algorithms to meet performance and scalability requirements.Perform sensitivity analysis to assess the impact of constraints and parameters.Work with product and delivery teams to productionize optimization models.Communicate results, insights, and implications clearly to senior stakeholders.Requirements:Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science, or a related field.3–4+ years of experience in optimization or a related role.Strong experience with metaheuristic optimization techniques (GA, PSO, SA, etc.).Proven ability to translate complex mathematical problems into actionable optimization solutions.Proficiency in Python and data science libraries (Pandas, NumPy, SciPy, Scikit‑learn).Hands‑on experience with optimization libraries such as PuLP, Pyomo, and frameworks like Mealpy, DEAP, or Optuna.Solid understanding of business rule modeling and constraint programming.Fluent English (international environment).Nice to Have:Experience with optimization solvers such as Gurobi, CPLEX, or Hexaly.Experience with data visualization tools and libraries.Knowledge of ETL processes and data cleansing.Familiarity with linear optimization techniques.Experience deploying models on cloud infrastructure (AWS preferred).Exposure to advanced mathematical modeling tools (Pyomo, OR‑Tools).Sponsorshipunder the Highly Qualified Professional scheme (PAC) may be provided.About You:Strong communication and presentation skills.Excellent problem‑solving and critical‑thinking abilities.Curious mindset with a passion for learning new technologies.Comfortable working in fast‑paced, ambiguous environments.Availability to work in a hybrid model (3 days on‑site per week in Barcelona).#J-18808-Ljbffr

Demand PlannerApplylocations: China-Remote Location-Shanghai: Spain-Barcelona: Germany-Waldbronn: Japan-Remote Location: China-Remote Location-Chengdutime type: Full timeposted on: Posted Todayjob requisition id: 4039205## Job DescriptionIntegrated Business Planning (IBP) brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.As one of the CMR/HDX Demand Planners, you will collaborate closely with an IBP data scientist to generate reliable forecasts and coordinate demand reviews. This particular role will be focused on the Cellular Mollecular Research and Health Care Diagnostics sales channels (CMR/HDX). Your role will be crucial in ensuring effective demand schedules, streamlining internal processes, and ultimately enhancing the customer experience.Responsible for analyzing overall product demand, forecasting future demand and product needs, and providing input into component demand schedules. Assists in the improvement of demand forecasting accuracy for internal and external customers, working with demand data scientist(s) to determine the appropriate algorithm for statistical forecasts. The work of the demand planner will enable Agilent to maximize account sales and inventory turns by accurately forecasting demand, managing product history and promotional demand, and identifying historical sales trends and demand patterns. Works with the demand data scientist(s) to maintain integrity of data for demand model inputs and analyzes internal demand stream information. Collaborates on Sales & Operations Execution (S&OE) processes to enhance demand sensing and adjustment of long-term view of the Integrated Business Planning (IBP). Develops reports and leads demand review forums, reporting on attainment of business objectives, adherence to demand forecast schedules and driving consensus on unconstrained demand.Principle Duties/Responsibilities:* Develop Demand Forecasts: Utilize IBP data scientist modeling, market intelligence, and field sales input to create accurate demand forecasts.* Coordinate Demand Reviews: Collaborate with sales and marketing stakeholders to conduct thorough demand reviews.* Execute Demand Planning: Provide reliable forecasts to ensure effective demand planning.* Analyze Historical Sales Trends: Review past sales trends, research demand drivers, and evaluate forecast results to inform future planning.* Perform Root Cause Analysis: Investigate key metrics such as forecast accuracy, bias, and value add to identify underlying issues.* Derive Consolidated Forecasts: Generate a comprehensive forecast of unconstrained demand.* Evaluate IBP Deviations: Discuss and understand the impact of last month's IBP deviations on the current month's plan.* Facilitate Best Practices: Proactively facilitate and re-engineer best practices, fostering consensus among functional experts.* Drive Improvement Actions: Implement actions for improvement and develop a stakeholder communication plan.* Monitor Forecast Consumption: Track forecast consumption and plan attainment to ensure alignment with goals.## ## Qualifications Bachelor's or Master's Degree or equivalent. 8+ years relevant experience for entry to this level. Extensive knowledge and specialized expertise in sales, marketing, or finance; experience in forecasting or planning is a plus. Strong executive presence and leadership skills. Demonstrated ability to assess complex business problems and deliver impactful results. Excellent communication skills, with the ability to effectively engage with different levels of management.* Self-motivated and capable of operating independently.Additional DetailsThis job has a full time weekly schedule. It includes the option to work remotely.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.Agilent.Com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.## Travel Required:10% of the Time## Shift:Day## Duration:No End Date## Job Function:Manufacturing#J-18808-Ljbffr

About BizAway Here at BizAway, we Deliver the Future of Travel. We are a solid international company with strong ambitions and great expertise. With a focus on sustainability, on a daily basis we support companies enabling them to improve their travel management through our constantly evolving services and solutions, always characterized by our tech attitude and smart and innovative processes. We know that success comes from people and deserves to be recognized. Proactivity and Reliability, Kind collaboration, and communication are the core values of our Solution Culture. If you like challenges and would love to be part of one of the fastest growing B2B scale ups, then BizAway is the company you have been looking for. We are looking for We are looking for a top Machine Learning Software Engineer to bridge the gap between complex data pipelines and production-grade, user-facing software. Who you are You have User Empathy: You don't just build to spec; you care deeply about the end-user experience and the real-world value your code delivers. You are a Problem Solver: You have a deep engineering mindset, remain open-minded to new paradigms, and love untangling complex architectural knots. You are an Engineer first: You have a strong background in software development (ideally full-stack and cloud). You aren't a pure Data Scientist who lives exclusively in Jupyter notebooks; you know how to build, test, and ship resilient software. Your basic qualifications Core: Python (Advanced). Data & APIs: PostgreSQL, FastAPI, GraphQL. Cloud: AWS (S3, Bedrock, Athena, Lambda—strong experience here is a massive plus). Workflow: High productivity, AI-assisted coding tools a plus, and modern CI/CD pipelines. Our offer Contract type: Permanent Working hours: Full-time – 40h/week, from Monday to Friday Hybrid Barcelona: We love the focus of remote work, but we also value the magic of high-bandwidth, in-person collaboration. You can work from home most of the time, but we expect you to swing by our Barcelona office a few times a week to brainstorm, whiteboard UX flows, and grab a coffee with the team. Salary: Attractive compensation, including equity in the company Equity in the company (stock options plan) A seat on a scale-up with skyrocketing growth Development of your entrepreneurial spirit, having the chance to implement real-impact business decision Multicultural and international team Collaborative and smart environment to work and learn Free coffee to kick-start your day and free beers to celebrate together EEO Statement BizAway avoids any discrimination based on age, gender, sexual orientation, health status, nationality, political opinions, and religious beliefs in all decisions affecting personnel selection. #J-18808-Ljbffr

YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production. EDUCATION Bachelor's Degree or equivalent Basic (required) Qualification Proven experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing. Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Experience in building and deploying AI/ML based software to a cloud environment. Preferred Qualification Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.G., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders Strong client-facing skillsets in a consulting environment Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.) At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies. In addition, we offer: Private medical, life, and accident insurance. Medical services and wellbeing programs. Flexible benefits program and employee share purchase plan. Flexible working arrangements (working hours, additional leave days, vacation options, and more). Personalized learning and career development paths. Sustainability initiatives and opportunities to participate in the Accenture Foundation. Employee diversity and inclusion networks. Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs #J-18808-Ljbffr

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. About the AI Team Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. About the Role We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models. Responsibilities Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and operational systems Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights Ensure data governance, lineage, metadata management, and compliance Support experiment design, hypothesis testing, and statistical modeling Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring Present results and actionable recommendations to product and R&D stakeholders Required Qualifications Master’s in Data Science, Statistics, CS, EE, or related quantitative field 5+ years of experience as an applied data scientist or hybrid DS/DE role Expert proficiency in Python, SQL, and data manipulation libraries Strong background in statistics, algorithms, and data structures Experience with relational + NoSQL databases and designing scalable data architectures Hands-on experience with big data tools (e.G., Spark, Kafka, Snowflake, Databricks, Hadoop ) Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) Experience with cloud platforms: Azure / AWS / GCP Clear track record of driving data-to-value outcomes Desired Qualifications Experience with measurement or simulation-heavy domains (e.G., wireless, electronics, semiconductor) Familiarity with deep learning frameworks and ML for time-series or unstructured data Visualization skills (e.G., Power BI, Tableau, Plotly) Knowledge of data governance, lineage, metadata management tools Experience with microservices and APIs Open-source contributions or publications Careers Privacy Statement Keysight is an Equal Opportunity Employer. #J-18808-Ljbffr

Qué harás en tu día a día?* Extraer los datos generados tras el desarrollo de los equipos de programación para definir y programar en Python los indicadores que describen matemáticamente el juego, sirviendo de base para que Game Design y Game Producers realicen los ajustes necesarios. GAME D

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.As a Senior Principal Applied AI Scientist, you will lead the development of AI-driven personalized learning solutions and shape Preply's scientific roadmap. Collaborating with a team of exceptional scientists and engineers, you will architect state-of-the-article models and systems that enhance the experiences of millions of learners worldwide. With a high level of autonomy and influence, you will report directly to the VP of Data and Applied AI, playing a pivotal role in setting the direction of our most ambitious AI initiatives.What you’ll be doing:Innovative R&D: Leverage your extensive experience in Deep learning, NLP, Information Retrieval (IR), LLMs and multimodal AI to design and deploy scalable machine learning solutions for personalized learning and intelligent tutor systems.Scientific leadership: Develop long-term scientific roadmaps, aligning them with Preply’s product strategy and business goals. Act as a strategic advisor to senior leadership on investments, technology direction, and organizational planning.Cross-functional collaboration: Partner closely with applied science leaders, product managers, and engineering teams to deliver AI solutions that address user needs and unlock new business opportunities.Mentorship & knowledge sharing: Guide and mentor scientists and engineers, fostering a collaborative and innovative science community within Preply.Drive best practices: Establish and advocate for best practices in machine learning, including architecture design, research roadmaps, and deployment pipelines.What you need to succeed:Academic and professional background:PhD in NLP, IR, Machine Learning, or related fields (or equivalent experience).8+ years of industry experience, with a strong focus on deep learning-based NLP, LLM continuous pre-training, and IR methods.Scientific and technical expertise:Demonstrated expertise in retrieval models and extensive experience with ranking models.Strong understanding and experience with retrieval-augmented generation (RAG) and LLMs for real-world applications.Proficiency in deep learning frameworks such as PyTorch.Hands-on experience with cloud platforms (e.G., AWS, Google Cloud).Leadership & impact:Proven ability to lead scientific roadmaps across multiple product areas, aligning them with business objectives while collaborating with Product and Engineering.Track record of solving real-world problems throughout the entire product lifecycle, from research to production.Visionary mindset:A passion for driving scientific innovation to enhance personalized learning experiences.Strong collaboration skills and the ability to work cross-functionally with diverse 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; Access to free mental health support platforms; The opportunity to shape the lives of learners and tutors through language learning and teaching in 175 countries (and counting!).Our 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 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

Job Description Owns the Fabric agent plane: the runtimes and integration spine that turn data into agents that act. The architectural commitment is vendor neutrality by construction: orchestration runs on open MCP and A2A standards, experience surfaces are rented, and the intelligence stays in the Fabric. Swapping a frontier model provider must be a mechanical change at the model gateway, never a re-architecture. Owns the Fabric agent plane: the runtimes and integration spine that turn data into agents that act. The architectural commitment is vendor neutrality by construction: orchestration runs on open MCP and A2A standards, experience surfaces are rented, and the intelligence stays in the Fabric. Swapping a frontier model provider must be a mechanical change at the model gateway, never a re-architecture. This role also carries the engineering side of the two-mode access model. Builders author in sandboxes and promote through eval gates; Consumers composecertified assets in self-service. The harness makes that ladder safe, because composition inherits the risk tier of whatever it touches, and the harness enforces that inheritance. Responsible for Agent runtimes, orchestration, and the model gateway, with the discipline of minimal, distinct, non-overlapping agent skills that are independently testable. The MCP / A2A integration spine across every layer of the Fabric: one protocol, every layer. Reference patterns and the shared eval harness, operated jointly with Trust, Risk & Evaluation. The agent identity and entitlement implementation in partnership with IT and Security, covering user identity, agent identity, and entitlement checks at the data product boundary, with full lineage and audit. The GxP commit-point pattern and support for audit, traceability Solid-line management of AI Harness Engineers deployed into pods. Leads the development and execution of enterprise-wide technology architecture strategies, ensuring alignment with business and IT objectives. Oversees teams of Enterprise, Solutions, and specialized architects to design and implement integrated architectures across applications, cloud, data, infrastructure, and security. Responsibilities include driving target architecture realization, conducting cost-benefit and risk analyses, monitoring compliance with standards, and advocating continuous improvement to maximize efficiency. Evaluates emerging technologies, guide technical decisions, and ensure scalable, cost-effective solutions that support organizational goals. What Success Looks Like In Year One Production agentic workflows live across the first-wave use cases, each composing registered skills with documented risk tiers and human-in-the-loop policy. The MCP spine adopted as the default integration path for new AI work. Agent identity propagation working end to end for at least one regulated and one non-regulated use case, with full audit trail. Promotion through eval gates operating as routine practice, with sandbox-to-certified cycle time measured and improving. Qualifications Bachelor’s or Master’s Degree or equivalent. Plus, broad knowledge of functional area(s) of responsibility. Minimum of 10 years' experience formally or informally leading people, projects and/or programs. Curiosity about AI, its potential and its pitfalls.The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade. We want people who read the failure analyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently. Lifelong learners.Whateverexpertisea candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate; it is the condition of the field. We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury. A history of deliberate self-reinvention counts for more than any single credential. Excellent communication and the ability to influence.Nothing in this organization ships by authority alone. Every role herepersuades:domain experts to engage, stewards to share what they know, sponsors to stay honest about value, and functions like Legal, Quality, and Security to move from gatekeeping to partnership. We look for people who write and speak clearly, who adapt their register from bench scientist to Board, and who change minds through credibility and clarity rather than escalation. Hands-on experience building production agent systems or LLM orchestration infrastructure at enterprise scale; deep familiarity with MCP, A2A, and the emerging interoperability landscape. Strong identity and security instincts; experience integrating with enterprise IdP and entitlement systems. Experience designing for regulated environments, ideally including computerized system validation or Part 11 contexts. A conviction that evaluation is an engineering discipline, and the scars to prove it. Additional Details This job has a full time weekly schedule. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws. Travel Required 10% of the Time Shift Day Duration No End Date Job Function R&D #J-18808-Ljbffr

De qué va la empresa en la que trabajarás? Somos una empresa especializada en transformación digital y comprometida con las personas. Nuestro enfoque se centra en impulsar la aceleración digital tecnológica de la sociedad a través de las apps (mobile, web & IA) y la captación de talento IT. Durante estos años, nuestros +100 empleados han trabajado con centenares clientes en +3.000 soluciones, ofreciendo una perspectiva holística en la interpretación del reto que implica la transformación digital de sus organizaciones. ¿En qué creemos? Nos basamos en cuatro valores fundamentales: Innovación , ofreciendo soluciones innovadoras de una manera profesional y rentable con un valor diferencial: el conocimiento experto en toda la cadena de valor. Compromiso ya que llevamos como propios los objetivos de la organización y superamos cualquier obstáculo para lograrlos. Proactividad , proveyendo y realizando acciones para mejorar sus servicios y calidad. Trabajo en equipo , contando con un equipo motivado y multidisciplinar que trabaja en perfecta coordinación para lograr los objetivos comunes. Estamos buscando un Senior Data Scientist , para trabajar en el desarrollo y refinamiento de un nuevo buscador. Este rol implica desarrollar mejoras en los modelos léxicos y semánticos utilizados en la búsqueda híbrida para optimizar el rendimiento en todos los idiomas mediante técnicas de visión por computadora y de procesamiento de lenguaje natural (NLP), y aplicar modelos de personalización en los resultados de búsqueda para ofrecer una experiencia única para cada usuario. #J-18808-Ljbffr

As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning, computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry labs, combining the best of an academic environment with product-guided research. We are a global team, located in London, Germany and Italy Location: Flexible EMEA: UK, London, Italy, Germany Responsibilities Explore and develop new ML models and AI techniques Lead and collaborate on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Work towards long-term research goals, while identifying intermediate milestones Build relationships and collaborate with academics and institutions Explore new data sources and discover techniques for best leveraging data Publish papers; attend and speak at conferences Think strategically about research directions Minimum qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience) Strong background in statistical methods for Machine Learning (e.G. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.G. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications (include experience in one or more of the following) LLMs and Natural Language Processing 2D & 3D Generative AI Reinforcement Learning Computational geometry and geometric methods (e.G. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks) Multi-modal deep learning and/or information retrieval Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

Buscamos personas curiosas y comprometidas. Personas que buscan crecer, pero sobre todo, mejorar el entorno que nos rodea. ¿Eres una de ellas? Entonces, ¡esta oferta es para ti!Cómo será tu día a día…Desarrollamos soluciones basadas en inteligencia artificial (IA) para impulsar la adopción de la IA en el grupo CaixaBank. Para ello, participamos en la definición la estrategia de IA en el grupo CaixaBank, ofrecemos servicios y aplicaciones escalables y robustas en IA, centralizamos y divulgamos el conocimiento y buenas prácticas en IA, y exploramos nuevas tecnologías y tendencias manteniéndonos a la vanguardia del estado del arte.El Equipo IA Platform es un grupo multidisciplinar que conceptualiza y desarrolla proyectos con una visión user centric entre los que destacan las aplicaciones basadas en IA Generativa (agentes, RAG, etc) y soluciones basadas en tecnologías de voz y análisis de texto, recomendadores, clasificadores de lenguaje natural o gestión documental, utlizando modelos fundacionales, de Deep learning o ML tradicional.Las responsabilidades que asumirás en la posición son:Diseño e implementación de sistemas de agentes y RAG para potenciar los diferentes procesos de las varías áreas y empresas del grupoDesarrollo de modelos de machine learning/deep learning y uso de modelos fundacionales / LLMs para dar respuesta a los diferentes problemas que se planteen.Transformar los datos en información relevante, obteniendo ‘insights’ y transfiriendo este conocimiento a las áreas de negocio, proponiendo soluciones cuando se requiera.Desarrollo de prototipado ágil, para demostrar la viabilidad de la solución/modelo propuesta.Implementar soluciones de ingeniería inversa para entender el problema del cliente y resolver sus retos de negocio identificando oportunidades de machine learning. Definición, implantación y seguimiento de indicadores.Diseñar las actividades necesarias para completar proyectos de manera exitosa fomentando el uso de metodologías Agile.Analizar información, riesgos y oportunidades de manera autónoma sobre un ámbito.Aplicar las últimas tecnologías de mercado y estado del arte en las soluciones propuestas.Aplicar análisis de datos y técnicas de diseño, modelado y QA en base a un entendimiento detallado de los procesos de negocio, para establecer, modificar o mantener una estructura de datos y sus componentes.Documentar trabajo técnico, utilizando estándares, métodos y herramientas adecuados.Requisitos:Requisitos y competencias claveTítulo universitario en Informática, Ingeniería, Matemáticas o Físicas. Se valorará tener un doctorado.Conocimiento avanzado de IA Generativa, Deep Learning, machine learning y modelos matemáticos y estadísticos como: Agentes, LLMs, autoencoders, Transformers, RNNs, modelos fundacionales, análisis de series temporales, Gradient Boosting, Multi-armed Bandits, etc.Experiencia de mínimo 3 años en programación orientada a ciencia de datos: Python con conocimientos de paquetes como LangGraph, TensorFlow, Pytorch, Sklearn, Scipy, Keras, etc.Experiencia en la visualización y exploración de datos con herramientas como Seaborn, MatplotlibConocimientos de metodologías de desarrollo de modelos (MLOps, DataOps, etc.).Conocimientos de transformación y limpieza de datos (ETL., data wrangling).Conocimiento en entorno Cloud (IaaS, PaaS, CaaS, SaaS).Experiencia práctica en el uso de técnicas, metodologías para el control de versiones y A/B Testing.Experiencia en implementación de proyectos de machine learning en industria con grandes volúmenes de datos.Capacidad para valorar y seleccionar los procedimientos y enfoques de trabajo adecuados para superar los retos técnicos.Versatilidad y visión transversal de proyectos IA.Habilidad gestionando expectativas de equipos técnicos y de clientes.Comunicación e influencia.Capacidad de trabajo en equipoAlta motivación para afrontar retos y diseñar aplicaciones innovadoras y transformadoras.Capacidad para desempeñar sus funciones con autonomía, gestionando tiempos e imprevistos.Necesario nivel alto de inglés (escrito y conversacional)Si te apasiona…La IA (Generativa o no), el machine learning, modelos matemáticos y estadísticos como autoencoders, Transformers, RNNs, LLMs, análisis de series temporales, Gradient Boosting, Multi-armed Bandits, etc.Programación orientada a ciencia de datos: Python con conocimientos de paquetes como LagGraph, TensorFlow, Pytorch, Sklearn, Scipy, Keras, etc.Visualización y exploración de datos con herramientas como Seaborn, Matplotlib y se valorará experiencia en librerías de javascript para la visualización interactiva como 3D.JsMetodologías de desarrollo de modelos (MLOps, DataOps, etc.)Transformación y limpieza de datos (ETL., data wrangling)Entorno Cloud (IaaS, PaaS, CaaS, SaaS)Uso de técnicas, metodologías para el control de versiones y A/B Testing.Implementación de proyectos de machine learning en industria con grandes volúmenes de datos. Te lo mereces Forma parte del Team y disfruta de todas estas ventajas:A tu manera Encuentra el equilibrio que necesitas entre trabajo y vida personal con nuestro moldeo de trabajo híbrido. Hasta un 60% de trabajo en remoto dependiendo del proyecto.Descansa Podrás irte de vacaciones 27 días al año con la flexibilidad para escoger la mejor época del año para ti.Be Tech, be healthy Se acabaron las excusas. Aprovéchate de nuestro programa de Wellbeing. Podrás disfrutar de descuentos en gimnasios, servicio de fisio en la oficina, torneos deportivos, fruta …Crece Nuestro ADN [No Limits, Tech4u y One Committed Team ] está pensado para que puedas desarrollar todo tu potencial técnico a través de nuestras formaciones e iniciativas. Mantente siempre a la última y aprende de un equipo que te guiará en todas tus misiones.Trabajar aquí compensa_ Saca más partido a tu nómina con el Programa de Retribución Flexible y aprovéchate de las ventajas financieras de pertenecer a un grupo bancario.#J-18808-Ljbffr

Buscamos un/a Científico/a de Datos altamente cualificado/a y con una sólida trayectoria en el desarrollo e integración de modelos de machine learning para unirse a nuestro equipo. Si te apasiona el mundo de los datos , tienes experiencia demostrada en diseño , entrenamiento y validación de modelos de aprendizaje automático y profundo, y buscas un entorno dinámico donde puedas aplicar y expandir tus conocimientos, ¡esta es tu oportunidad! Tus Responsabilidades Clave Diseñar, entrenar y validar modelos de machine learning y deep learning de vanguardia, asegurando su robustez y rendimiento. Participar activamente en proyectos que abarquen diversas técnicas de modelado, incluyendo clustering, clasificación, regresión y detección de anomalías, para extraer conocimiento valioso de conjuntos de datos complejos. Aplicar técnicas avanzadas de Procesamiento del Lenguaje Natural (NLP) para la extracción de información, resumen automático y análisis semántico, desbloqueando el potencial de los datos textuales. Integrar modelos desarrollados en pipelines productivos eficientes y escalables, garantizando su correcta implementación y funcionamiento en entornos reales. Liderar y ejecutar estudios de viabilidad y pruebas de concepto (POC) para explorar y validar nuevos casos de uso y oportunidades de negocio basadas en inteligencia artificial. Documentar de manera exhaustiva las soluciones desarrolladas, incluyendo metodologías, resultados y especificaciones técnicas, facilitando la comprensión y adopción por parte de otros equipos. Colaborar estrechamente con equipos multidisciplinares, incluyendo ingenieros de datos, desarrolladores y analistas de negocio, para asegurar la alineación de los proyectos con los objetivos estratégicos de la empresa y del cliente. Participar en la formación y capacitación de usuarios finales y equipos técnicos, transfiriendo conocimiento y fomentando la cultura de datos dentro de la organización. Contribuir activamente en la fase de pruebas de concepto (POC), validaciones funcionales y despliegues en entornos cloud como Azure y Google Cloud, aplicando las mejores prácticas de la industria. Requisitos Formación universitaria superior en Informática, Matemáticas, Estadística, Física, Ingeniería o un campo relacionado. Se valorará Máster o Doctorado en Ciencia de Datos, Inteligencia Artificial o áreas afines. Experiencia profesional demostrable de al menos 5 años como Científico/a de Datos o en un rol similar, con un enfoque claro en el desarrollo e integración de modelos de machine learning y deep learning. Profundo conocimiento de algoritmos de machine learning (supervisados y no supervisados), incluyendo clustering, clasificación, regresión, y técnicas de reducción de dimensionalidad. Experiencia práctica en el desarrollo de modelos deep learning utilizando frameworks como TensorFlow, PyTorch o Keras. Dominio de lenguajes de programación como Python (preferiblemente) o R, y experiencia con librerías relevantes para ciencia de datos (NumPy, Pandas, Scikit-learn, NLTK, SpaCy, etc.). Experiencia en la aplicación de técnicas de NLP para el análisis de texto. Conocimiento y experiencia en la integración de modelos en entornos de producción y en el ciclo de vida del desarrollo de software (MLOps). Familiaridad con plataformas cloud (Azure, Google Cloud) y sus servicios relacionados con machine learning y análisis de datos. Capacidad para realizar pruebas de concepto (POC) y estudios de viabilidad de manera autónoma. Excelentes habilidades de comunicación, tanto oral como escrita, para explicar conceptos técnicos complejos a audiencias diversas. Capacidad analítica, resolución de problemas y atención al detalle. Proactividad, autonomía y una fuerte orientación a resultados. ¿Por qué Unirte a Metrica España? Oportunidad de trabajar en proyectos retadores e innovadores con tecnologías de vanguardia. Entorno de trabajo colaborativo y dinámico, con un equipo de profesionales apasionados por la tecnología. ¡Esperamos conocerte!#J-18808-Ljbffr

The Methodology Group at ALBA Synchrotron is seeking a skilled data scientist/software developer to design and implement end-to-end data analysis pipelines for beamline and electron microscopy data. You will work on integrating X-ray diffraction with spectroscopy, tomography, and 4D‑STEM in robust, reusable workflows.You will adapt tools for broad usage, automate workflows on local or cloud resources, and contribute to FAIR data practices while collaborating with multiple divisions and external#J-18808-Ljbffr

InstitutionALBA is the Spanish synchrotron light source, a large research infrastructure operating 13 beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared towards finding solutions to societal challenges.InstitutionALBA is the Spanish synchrotron light source, a large research infrastructure operating 13 beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared towards finding solutions to societal challenges. It is funded by the Spanish Government (Ministerio de Ciencia e Innovación) and the Catalan Government (Generalitat de Catalunya, Departament de Recerca i Universitats). The synchrotron light produced by 3 GeV electrons is used by thousands of researchers to analyse and understand the properties and functionality of matter, spanning a wide variety of fields, such as catalytic research, health, energy production/storage, environmental research, communication technologies, or cultural heritage. Our highly motivated staff works in a multidisciplinary work environment with an atmosphere formed by lived diversity, inclusion and respect for our colleagues. One of the goals of our gender equality plan is to reach parity within the Consortium’s different divisions and offices, and several actions have been taken to encourage applications from women mostly in scientific, engineer and technical job positions. ALBA is located in Cerdanyola del Vallès (Barcelona, Catalonia, Spain), close to Barcelona in a natural park and well connected by car and public transportation, with excellent connectivity to the world and an employer who understands the importance of work-life balance. Facing an upgrade to ALBA II, a 4th generation facility, which will increase dramatically brightness and coherent flux, ALBA is in a phase of growth and dynamics. Being a part of the ALBA team will promote your career and will give you the opportunities to explore new territories. For more information, you can take a look on our history watching this video: https://www.Youtube.Com/watch?v=gHMqiH4qBAo CORUS is a new flagship beamline, which will be devoted to research in the life sciences domain, focused on nanoimaging, with chemical mapping and chemical speciation capacities on tissues by using holographic nanotomography, X-ray fluorescence and spectroscopy as the driving technologies. It will address how biological tissues work at the intercellular level, providing key insights in systems neuroscience (with applications in connectomics) as well as in many other life sciences disciplines. The beamline is designed to streamline correlative workflows, providing guidance and infrastructure for the users to combine multiple imaging readouts of the same sample obtained across endstations, beamlines at ALBA, as well as from other imaging modalities sourced abroad. Together, CORUS will boost volume nanoimaging in the life sciences domain across species, models and scales.We are looking for a beamline scientist with a strong background in X-ray beamline instrumentation, optics and phase contrast imaging to join the CORUS team. With focus on instrumentation applied to bio imaging, the scientist will tightly work with the beamline responsible, the CORUS group, the other scientists at ALBA, external collaboration partners and the user community. Especially, during the design, construction and commissioning phase, the successful candidate will interface and work with the assigned specialized engineers and scientists to ensure state-of-the-art and beyond performance of the beamline, ensuring end-to-end operational excellence in operation. As expert in instrumentation, it is expected that the successful candidate will also strongly interact with other beamline groups within ALBA and other facilities to enhance ALBA's overall capabilities, opening new application fields and novel approaches. In the operational phase, the candidate will provide world-class user support and will refine in collaboration with the supporting groups the experimental conditions for best user experiences and a forefront scientific program.Tasks- Cooperate in the design and construction of the beamline and in the development and execution of the beamline’s scientific, instrumentation, and technical program, contributing to its operational performance and strategic alignment within ALBA and the future ALBA-II framework.- Participate in development and implementation of the CORUS beamline and user programme.- Develop an independent research programme in nanoimaging, aligned with the strategic development plan of the CORUS beamline, including mentoring activities for students and junior scientists. Provide support to scientific and industrial users, including local contact or scientific support duties on the assigned instrumentation.- Participate in the maintenance, commissioning, and development of CORUS and upgrade activities of the facility, including all activities necessary to achieve ALBA II project goals.- Participate in and initiate research programs, national and European projects, and collaborations following ALBA's strategy and management directions.- And any other similar and reasonable task or function in accordance with the responsibilities that may be assigned by Management, if applicableRequirementsThe requirements for participation must be met on the date of the deadline for the submission of applications and will be accredited by means of the CV attached to it, without prejudice to the power of the selection body to require the contribution of the originals of the certifications accrediting the qualifications, training and work experience invoked in the CV. Applications that do not present the aforementioned or required documentation during the selection procedure will not be accepted.The Successful Candidate Must- Hold a PhD (or equivalent) in Biology, Chemistry, Physics, Biotechnology, or in a closely related discipline.- Have a minimum of 1 years’ experience in some of the following disciplines: electronics, high-precision mechanics, optics, cryogenics, tomography, holography, ptychography, X-ray fluorescence or spectroscopy.- Be fluent in written and spoken English (performance should be equivalent or superior to a B2 level).Everyone who meets the requirements will be admitted for the selective process. This position is reserved for those candidates having the legal status of person with disabilities, with a degree of disability equal or greater than 33%. In case of one or more admitted applicants with this status of disability, these candidates will be evaluated at first. In the event that no candidate with the status of disability is finally selected for the position, the selection process shall continue and the rest of the applicants will be evaluated.Selection Process DevelopmentThe selection will be carried out through the competition-opposition system. As a first phase, an analysis of the curriculum will be carried out (assessment of previous experience and / or scientific history, degree, training and other professional information relevant to the position). Career breaks or variations in the chronological order of CVs will be regarded as an evolution of a career, and consequently, as a contribution to the professional development.The Assessment Of The CV In The Competition Phase Will Be Scored Up To 40 Points, Which Will Consider The Following Aspects:- Experience in instrumentation development for scientific applications in the field of nano-imaging (12 points).- Experience in phase contrast X-ray imaging techniques (especially holography and ptychography) and in the design, fabrication and commissioning of its optical and opto-mechanical systems (12 points).- Experience in image data processing using specialised resources (such as high-performance clusters), in the use of programming languages (especially Python and/or MATLAB) and in the use of version control tools (such as git) (6 points).- Publication record, demonstrating impact in instrumentation and/or in the development of nanoimaging methods (7 points).- Being awarded with at least one competitive beamtime and running those experiments at synchrotron facilities (3 points).The best rated candidates, at least two if possible, will be invited to an interview where the technical competence, knowledge, skills and professional experience linked to the position will be assessed, with a total score of 60 points. A minimum of 30 points must be obtained out of a total of 60 points to be eligible.Provided they meet the minimum requirements and have ranked among the top five after the assessment of the CV phase, at least one person from the underrepresented gender in the division/office will be interviewed.The interview will be conducted in English and will address the following topics:- Experience leading complex experimental workflows. (15 points)- Communication skills and ability to work effectively in a multidisciplinary team. (10 points)- Knowledge of optical and/or end station instrumentation, from optical simulations (ray tracing) to engineering customised solutions. (10 points)- Knowledge of X-ray phase contrast imaging techniques. (10 points)- Vision for the scientific development of the beamline. (5 points)- Experience supervising, mentoring and supporting junior and visiting researchers. (5 points)- Self-motivation, organizational and planning skills. (5 points)The merits will be accredited by means of the CV attached to the application. The selection board may require accreditation by additional documentation, originals or certified copies confirming the experience invoked in the CV.In case of a tied final score, the position will be awarded to the person who belongs to the most underrepresented gender in the corresponding Division and subsidiarily to the overall company.If necessary, alternates of the members of the selection board will be appointed by the president of the selection process, and the change will be published in the announcement.The resolution of the selection procedure will be carried out within a maximum period of six months from the deadline for submitting applications for participation.The selection process may be declared vacant if the selection board considers not to have found eligible candidates for the position although they might meet the requirements to participate in the selection process specified in the offer.Other InformationContract: PermanentBase salary range €44.851 – €46.798 gross per year. The base salary offered will be determined according to the selected candidate's qualifications, relevant professional experience, competencies and overall suitability for the position.Additional Remuneration- Annual productivity bonus (approximately 4% of the base salary), subject to the applicable internal policy and performance evaluation.- Local Contact compensation.ALBA also offers an attractive employment conditions, including flexible working arrangements and professional development opportunities.The Selection Board is composed by the following members: Carles Bosch, Judith Juanhuix, Alejandro Crisol, Johannes Ihli, Josep Nicolàs, Bábara Machado and Klaus Attenkofer.In the 8th of September the title of the position has been change from "Scientist position at CORUS" to "Beamline scientist at CORUS".#J-18808-Ljbffr

InstitutionALBA is the Spanish synchrotron light source, a large research infrastructure operating 13 beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared toward finding solutions to societal challenges.ALBA is the Spanish synchrotron light source, a large research infrastructure operating 13 beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared toward finding solutions to societal challenges.Located in Cerdanyola del Vallès (Barcelona, Catalonia, Spain), it is funded by the Spanish Government (Ministerio de Ciencia e Innovación) and the Catalan Government (Generalitat de Catalunya, Departament de Recerca i Universitats). The synchrotron light produced by 3 GeV electrons is used by thousands of researchers to analyse and understand the properties and functionality of matter, spanning a wide variety of fields, such as catalytic research, health, energy production/storage, environmental research, communication technologies, or cultural heritage.Our highly motivated staff works in a multidisciplinary work environment with an atmosphere formed by lived diversity, inclusion and respect for our colleagues. One of the goals of our gender equality plan is to reach parity within the Consortium’s different divisions and offices, and several actions have been taken to encourage applications from women mostly in scientific, engineer and technical job positions. Located close to Barcelona in a natural park and well connected by car and public transportation, with excellent connectivity to the world and an employer who understands the importance of work-life balance.ALBA is entering a major growth phase, including the construction of two new coherent X-ray imaging beamlines as part of the development of ALBA II, a fourth-generation synchrotron scheduled to deliver first light in 2031. One of these new beamlines is the Coherent Diffraction Imaging Beamline (CoDI), a next-generation beamline designed to take full advantage of the high coherence and brightness of ALBA II. CoDI will enable high-resolution 3D and 4D nanoimaging using coherent X-ray imaging techniques in transmission and Bragg geometries, with multimodal, in situ and operando capabilities.We are looking for a Beamline Scientist to lead the development and deployment of computational imaging and data analysis methods at CoDI. The successful candidate will work across the full imaging workflow, from experiment design and data acquisition to image reconstruction and high-performance computing, and will play a key role in shaping how coherent X-ray imaging is developed and applied at CoDI and across ALBA.Tasks- Contribute to the design, construction and operation of the CoDI beamline, with focus on the development and implementation of its scientific and computational imaging programme.- Co-lead the design and deployment of CoDI's computational imaging framework for coherent X-ray methods, establishing the foundation for data processing and analysis in strong collaboration with the Methodology group, as weel as with members of the Computing Division and external partners.- Develop, implement, and optimize novel algorithms and data-processing modules for coherent diffraction imaging and related techniques, including Bragg coherent diffraction imaging, X-ray ptychography, and holography.- As part of the CoDI group, the successful candidate will work mainly within the Methodology group during the design phase to develop the core computational imaging workflows for CoDI. This includes defining the data architecture and computing strategies to support these workflows.- Participate in the development and implementation of the CoDI user programme.- Provide scientific and technical support to scientific and industrial users of the beamline as a local contact or support scientist following the Local Contact agreement and other regulations.- Participate in research programmes, national and European projects, and scientific collaborations within the wider CoDI programme; strong collaboration with the Methodology group is expected.- Develop an independent research programme in coherent imaging, with a preference for high-resolution, multimodal, and/or 4D imaging in Bragg or transmission geometries.- Perform any other similar and reasonable duties and functions in accordance with the responsibilities of the position that may be assigned by Management, where applicable.RequirementsThe requirements for participation must be met on the date of the deadline for the submission of applications and will be accredited by means of the application documents attached to it, without prejudice to the power of the selection committee to require the contribution of the originals of the certifications accrediting the qualifications, training and work experience invoked in the CV.The Successful Candidate Must Have- Hold a PhD (or equivalent professional experience) in Physics, Materials Science, Computer Science, Engineering, or a related discipline.- Have at least one year of demonstrated experience in computational methods and data analysis applied to scientific research, including relevant experience gained during doctoral research.- Have at least one year of practical programming experience for scientific applications, preferably using Python or an equivalent programming language, including the development, adaptation, or use of computational tools for the analysis or processing of scientific data.Selection Process DevelopmentThe selection will be carried out through the competition-opposition system.As a first phase, an analysis of the curriculum will be carried out (assessment of previous experience and / or scientific history, degree, training and other professional information relevant to the position). Career breaks or variations in the chronological order of CVs will be regarded as an evolution of a career, and consequently, as a contribution to the professional development.The Assessment Of The CV In The Competition Phase Will Be Scored Up To 40 Points, Which Will Consider The Following Aspects- Experience in computational imaging, inverse problems, image reconstruction, or related computational methods, with particular relevance to coherent imaging, e.G. BCDI, Ptychography, Holography. (15 points)- Experience in developing scientific imaging methods, algorithms, or data-processing pipelines, including the analysis of large-scale scientific datasets and/or high-performance computing. (15 points)- Experience supporting or leading experimental campaigns at X-ray, electron, laser, or other large-scale research facilities. (5 points)- Scientific publication record and demonstrated contributions to imaging methods development. (5 points)The best rated candidates, at least two if possible, will be invited to an interview where the technical competence, knowledge, skills and professional experience linked to the position will be assessed, with a total score of 60 points. A minimum of 30 points must be obtained out of a total of 60 points to be eligible.Provided they meet the minimum requirements and have ranked among the top five after the assessment of the CV phase, at least one person from the underrepresented gender in the division/office will be interviewed.The interview will be conducted in English and will address the following topics:- Technical competence and experience in computational or coherent imaging, including method development and data analysis. (15 points)- Ability to develop and implement computational imaging methods and workflows in a multidisciplinary environment. (10 points)- Experience at large-scale research facilities, including experimental campaigns, data analysis, and/or instrumentation development. (10 points)- Vision for the scientific and computational development of CoDI, including alignment with current developments and future directions in coherent or nanoimaging. (10 points)- Communication skills and ability to work effectively in a multidisciplinary team. (5 points)- Ability to supervise, mentor, and support students and junior researchers. (5 points)- Motivation for applying, self-motivation, and organizational and planning skills. (5 points)Additional Provisions- The merits will be accredited by means of the CV attached to the application. The selection board may require accreditation by additional documentation, originals or certified copies confirming the experience invoked in the CV.- If necessary, alternates of the members of the selection board will be appointed by the president of the selection process, and the change will be published in the announcement.- The resolution of the selection procedure will be carried out within a maximum period of six months from the deadline for submitting applications for participation.- The selection process may be declared vacant if the selection board considers not to have found eligible candidates for the position although they might meet the requirements to participate in the selection process specified in the offer.Disability and Equal Opportunity Provisions- In the event of a tie in the final score, preference will be given to candidates from the underrepresented gender in the Experiments Division.- Candidates with a legally recognized disability of 33% or higher will be given priority in the selection process. If one or more eligible candidates meet this criterion, their applications will be assessed first. If no such candidate is ultimately selected, the selection process will continue with the remaining applicants.Other InformationThe Selection Committee is composed by the following members: Johannes Ihli, Carles Bosch Piñol, Joaquín Otón Pérez, Bárbara Machado Calisto, François Fauth and Klaus AttenkoferFurther information about ALBA, the ALBA II project, and the CoDI beamline can be found at the following links: ALBA; ALBA II; CoDI.Contract: PermanentBase salary range €41.063 - €46.798 gross per year.The base salary offered will be determined according to the selected candidate's qualifications, relevant professional experience, competencies and overall suitability for the position.Additional Remuneration- Annual productivity bonus (approximately 4% of the base salary), subject to the applicable internal policy and performance evaluation.- Local Contact compensation.ALBA also offers an attractive employment conditions, including flexible working arrangements and professional development opportunities.The Selection Board is composed by the following members: Francois Fauth, Marta Avila Perez, Edmundo Fraga, Alexander Missyul, Manuel Valvidares#J-18808-Ljbffr

Se requiere dominio de Python y bibliotecas de ciencia de datos.

What You'll Do Adopt the latest technologies and trends in NLP to your platform Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval Experience with Reinforcement Learning from Human Feedback (RLHF) meth

About the opportunityYOUR MISSIONAs a Product Data Scientist in the Discovery Group, you will be at the heart of how millions of users interact with Glovo every day. You will turn complex user behavior into actionable product discoveries, set a high bar for our experimentation culture, and build dat

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. About the roleAs Preply scales its AI-powered learning platform, we're looking for an experienced Senior ML Platform/Ops Engineer 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.We've reached 90%+ adoption of AI coding tools across engineering, and we're now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build.You'll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle.What you'll be doingBuild and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, TectonSupport AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.G., spot/GPU autoscaling)Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.)Design and scale data ingestion and feature transformation flows using batch (e.G., Spark/BigQuery) and streaming (Kafka or equivalent)Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teamsEnsure ML services are modular, testable, and monitored from day oneExploration and productionization of LLM-based features (e.G., retrieval pipelines, prompt evaluation, model serving)What we're looking forProven experience designing and deploying ML systems in production (5+ years in relevant roles)Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.)Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflowsUnderstanding of ML model lifecycles: training, validation, deployment, and monitoringStrong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s)Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven.Exposure to LLM serving, vector databases, or GenAI-powered product flowsDeep, hands-on expertise in AI tools, especially in agentic AI SDLCWhy you'll love it at PreplyAn open, collaborative, dynamic and diverse culture; A generous monthlyallowance 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; Access to free mental health support platforms; The opportunity tounlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)#LI-VL1Our 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 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.LocationBarcelonaEmployment TypeFull timeLocation TypeHybridDepartmentEngineering

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.

Diseña, construye y optimiza una plataforma de IA escalable con soporte multi-agente, ajustando rendimiento y costes.Desarrolla agentes para casos de uso.Requiere 5+ años de experiencia en ML, Python, SQL y cloud.

Coach and partner with Data Analysts, Data Scientists, and PMs on hypothesis design, experiment setup, and metrics. Collaborate with Data/Analytics Engineering to improve data infrastructure and exposure logging. You’ll define standards, governance, and a roadmap to accelerate reliable insights ac

Check out our Tech Radar to see the tools and technologies we love using at Preply!What you’ll be doingCollaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results;Roll out Marketing Mix Modeling (MMM) to more

Senior Data Scientist The Senior Data Scientist/Engineer will be responsible for building end-to-end data science solutions for projects across the Veg PS digital landscape. Key Working relations: Crop Teams Globally, Operations & Supply Teams globally, Digital & Process Excellence Teams, Data Engi

Estamos buscando un Senior Data Scientist, para trabajar en el desarrollo y refinamiento de un nuevo buscador. Al menos 4 años de experiencia como Data Scientist. Experiencia desarrollando soluciones de machine learning / data science end-to-end, desde la fase de prototipo hasta la puesta en produc

As Senior Data Scientist at Preply, you’ll shape the product by translating user behavior and marketplace dynamics into data-driven insights. Foster collaboration with data and technical leaders across teams. Experience in data analytics with product teams.

Translate complex data and methodologies into actionable insights and recommendations. As part of the Data, Analytics & AI team, you build production-ready analytics and ML models to optimize pricing, promotions, and business processes. You’ll tackle automation, scalability, and data-driven optimi

As Senior Data Scientist at Preply, you’ll shape the product by translating user behavior and marketplace dynamics into data-driven insights. Foster collaboration with data and technical leaders across teams. Experience in data analytics with product teams.

As a Data Scientist at Gameloft Barcelona, you will explore vast streams of player data to build models that boost game revenue. Perform feature engineering on data from the data warehouse and manage code with Git. Familiar with Git and working with large-scale data in a data warehouse.

Experience mentoring senior data scientists and growing the data org. In this role you drive the data strategy for a key product domain (e. Act as senior thought partner to product, engineering and data leaders.

Understand source tables, data lineage, and data quality risks. Extensive experience in data science, analytics engineering, or similar in data-rich environments. Build, improve, and maintain data pipelines powering recurring analytics.

Collaborate with engineers, consultants, and data scientists to deliver impact. Join Accenture’s Data & AI for Supply Chain to apply advanced analytics and AI to solve fulfillment challenges across industries.

Lead and mentor data scientists. In this role you will lead advanced analytics and AI-driven solutions within a cross-functional Data Science team.

Apply advanced analytics, ML, and AI techniques across internal and external data sets using cloud tech. Translate complex data and methodologies into actionable insights and recommendations. As part of the Data, Analytics & AI team, you build production-ready analytics and ML models to optimize pri

As a Senior Data Scientist, you will shape the data strategy for The Knot Worldwide’s Marketplace, guiding experimentation and driving measurable impact through advanced analytics. Knowledge of data modeling and partnering with engineers on data infrastructure. Identify new data products and data

As Senior Data Scientist at Preply, you’ll shape the product by translating user behavior and marketplace dynamics into data-driven insights. Foster collaboration with data and technical leaders across teams. Experience in data analytics with product teams.

Create reusable modeling frameworks and oversee data integration across large and small datasets. As an RWE Data Scientist at Sanofi, you apply cutting-edge analytics to support evidence-based pharmaceutical development. You’ll build reusable modeling frameworks and integrate diverse data sources

In this Data Scientist role, you will translate business needs into data-driven solutions and collaborate with cross-functional teams to advance production ML initiatives. Gather requirements and translate them into actionable data science projects. Develop and deploy production-ready data-driven so

Develop data-driven solutions across multimodal industrial data. You will work on multimodal data, GenAI, and advanced modelling techniques to optimize control and monitoring across sectors. Explore Generative AI and LLM-enabled workflows for industrial data.

En Akuaro buscas a un/a Data Scientist / ML Engineer Senior para transformar datos industriales en modelos de Machine Learning que apoyen decisiones y operaciones. Familiaridad con MLOps y plataformas cloud como Azure o Databricks. Capacidad para trabajar con datasets complejos y aplicar rigor estad

Lead and mentor data scientists. In this role you will lead advanced analytics and AI-driven solutions within a cross-functional Data Science team.

In this Data Scientist role, you will translate business needs into data-driven solutions and collaborate with cross-functional teams to advance production ML initiatives. Develop and deploy production-ready data-driven solutions with the team. Translate business needs into actionable data science s

Librerías data science (scikit-learn, pandas, NumPy).

As a Senior Data Scientist, you will shape the data strategy for The Knot Worldwide’s Marketplace, guiding experimentation and driving measurable impact through advanced analytics. Identify new data products and data integrations, prioritize backlog with partners. Knowledge of data modeling and pa