Ofertes d'ocupació de Científic/a de Dades a Barcelona

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada31 d’oct.

. Python TSQL R

Datavant is a rapidly growing healthcare technology company with a mission to connect the world’s health data. By eliminating data silos in the healthcare industry, we aim to unlock opportunities to accelerate clinical data exchange, medical research, and help organisations design better ways to facilitate access, affordability, and quality of care leading to better patient outcomes.

By joining Datavant today, you’re stepping onto a highly collaborative team that is passionate about creating transformative change in healthcare. We look for people who are smart, nice and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales.

Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, who interrogates and assesses client information in terms of the re-identification risk to patients.

As part of the Privacy Science team within Privacy Solutions you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing and consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets.

You Will

• Critically analyse large health datasets using standard and bespoke software libraries.
• Discuss your findings and progress with internal and external stakeholders.
• Produce high quality reports which summarise your findings.
• Contribute to research activities as we explore novel and established sources of re-identification risk.
  
  

What You Will Bring To The Table

• A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
• Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language.
• MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar.
• Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.
• Familiarity with Amazon Web Services cloud-based storage and computing facilities.
• Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports.
• Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines.
• Drive to understand real-world data in context rather than consider it in abstraction.
• Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Solution’ knowledge base.
• An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation.
  
  

Bonus Skills

• Experience with SQL.
• Experience of creating documents using LATEX.
• Detailed knowledge of one or more types of health information such as genomics.
  
  

We are committed to building a diverse team of Datavanters who are smart, nice, and get things done where every Datavanter is empowered to bring their authentic self to their work. We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an equal opportunity employer and welcome applications from people of all backgrounds and experiences.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be used to help us identify areas of improvement in our recruitment process. We can only see aggregate responses and are unable to view individual responses. In fact, we aren’t even able to see if you’ve responded or not! Responding is your choice and it will not be used in any way in our hiring process.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada30 d’oct.

Teletreball Python TSQL Cloud Coumputing R ERP Big Data Machine Learning

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.

We thrive in solving our customer´s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.
Our People

At Wizeline, we are a team of near 2,000 people spread across 25+ countries. We understand that great technology begins with outstanding talent and diversity of thought. Our business was built on doing well and doing good, and our values of Ownership, Innovation, Community, and Diversity & Inclusion are embedded within our company´s DNA. We are committed to offering our Wizeliners the opportunity to create their career path and develop the skills needed to achieve their personal goals.
Community Impact

We are proud to contribute to local economies by developing technology ecosystems in places like Mexico, Colombia, and Vietnam. We also created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers. As of 2022, Academy has served more than 28,000 students across 675 courses. Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.

What will you bring to the team?

The Intelligence Unit of the Business Operations team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop algorithms that involve learning from core systems, such as HCM, ERP, ATS, CRM, internal products, and Staffing Systems, in order to generate and improve existing data models.
Your Day-to-Day

On a typical day, you will work closely with talented data analysts, data engineers, software engineers, and business groups. As a successful data scientist in our team, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems, through collaboration with engineering and business teams. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.

Major responsibilities include:

-Analyzing and translating business needs into long-term solution data models, utilizing code for analyzing data, and building statistical and machine learning models and algorithms.

-Evaluating implemented data systems for variances, discrepancies, and efficiency.

-Supporting decision-making by providing requirements to develop analytic capabilities, platforms, pipelines, and metrics then using them to analyze trends and find root causes of model inaccuracy.
Are You a Fit?

Minimum qualifications:
- Background in any of these areas:
- Statistics and Applied Math, Computer Science, Finance, and Economics.
- Python/R/Scala and SQL, demonstrating best practices for data coding to ensure consistency.
- English Proficiency
- 5+ years of experience working in the Data Science field
- Data-focused applied mathematics (statistical analysis)

Preferred Qualifications:
- Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, etc
- Database Experience: Ability to perform CRUD operations on relational and non-relational datasets.
- Big Data Technologies Experience: Ability to create ETL pipelines and use machine learning algorithms.
- Data Visualization: Display data to provide insights: show patterns, trends, or correlations in a single plot. The ability to produce dynamic and interactive data visualizations is a plus.

Why You Should Apply

Still not convinced you should apply? Here are some of the things that make Wizeline different from other technology services companies:
Our Values

At Wizeline, we value innovation, community, and ownership. Our commitment to diversity, inclusion, and respect fosters an environment where everyone does well and does good. We´re proud to be recognized by the Human Rights Campaign Foundation in response to our inclusive corporate policies and best practices for LGBTQ+ employees.
Our Culture

We offer exceptional career growth and learning opportunities to our employees with skill development workshops, mentoring programs, and support for side projects or entrepreneurial work. We ranked 7th on Expansión´s Super Companies 2021 list.

Our Benefits and Perks

We offer competitive compensation and employee-centric benefits, including industry-leading maternity and paternity leave, wellness programs, and remote work opportunities. All Wizeliners have access to continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field.

In recognition of our superb employee benefits, we debuted on Quartz´s list of the Best Companies for Remote Workers and ranked 5th on Expansión´s Super Workspaces 2021 list.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 d’oct.

Gestión de proyectos Programación Inglés Ciencia de datos Física Estadística Gestión Ciencias de la computación Matemáticas PHP Python TSQL SEM Office

At Gauss & Neumann, we are looking for PhDs, MSc and BS mathematics, physics and 

engineering to work with us in our office in Andorra. We do Search Engine Marketing (SEM) 

worldwide and work for international clients. We love and breath technology and everyone at 

the company has a tech background. 

We believe that advertising on search engines (SEM) should provide perfect answers to the 

users. Gauss & Neumann creates data structures and technologies that help our clients deliver 

a perfect response to queries and provide value to search engine customers like Google or 

Bing. 

What we look for: 

Professionals with a PhD, MSc or bachelor degree in Mathematics, Physics, Computer 

Science, Software Engineering, or other engineering disciplines. We search for natural problem 

solvers with initiative that push the needle always a bit further and have the self-discipline to 

get things done. We look for people that have fun at work and create a great atmosphere with 

their teammates. We value personal attitude at the very top. 

Responsibilities: 

Design SEM keyword structures for international clients 

Create predictive algorithms for bidding in real time 

Create scripts for optimizing keyword structures 

Create technologies that disrupt the SEM industry 

Data research and visualization 

Manage campaign daily operations with large clients mainly in the United States. 

What you need to have:

Bachelor, MSc or PhD level degree in Mathematics, Physics, Computer Science or 

Software Engineering or similar engineering degree. 

Programming skills (Python, SQL, PHP, R...). 

Statistics knowledge 

Other skills we value:

English fluency (written and verbal) 

Project management experience 

Natural ability to deal with ratios and numbers 

Being up to date with programming libraries 

Willingness to learn and go beyond what's necessary. 

Why joining Gauss & Neumann: 

Gauss & Neumann provides an open environment of excellence with some of the best SEM 

professionals in the advertising industry. Most of our staff holds a PhD in Mathematics or 

Physics. G&N open culture provides unlimited vacation time, total daily autonomy, private 

insurance and the ability to run your own projects and take relevant decisions within the 

company. 

Location: 

We are looking for professionals to join our teams in Barcelona and Andorra.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 d’oct.

Teletreball .

Somos Banco Sabadell

Banco Sabadell es una de las principales entidades bancarias en España con más de 13.000 personas caracterizadas por nuestra implicación, espíritu de colaboración y dinamismo. Banco Sabadell ofrece sus servicios a más de 11 millones de clientes contando con una posición privilegiada en el segmento de empresas.

Nuestra razón de ser es ayudar a personas y empresas a hacer realidad sus proyectos, anticipándonos y ocupándonos de que tomen las mejores decisiones económicas, a través de nuestros valores: el compromiso, no conformismo, profesionalidad, eficacia, empatía y franqueza.

Y además, lo hacemos mediante una gestión responsable y comprometida con el medio ambiente.

¡Únete a nosotros!

¿Qué estamos buscando?

Actualmente nos encontramos en la búsqueda de nuestro/nuestra/futuro/futura Data Scientist siendo un perfil proactivo, con elevada capacidad analítica y trabajo en equipo, para formar parte de nuestra Comunidad Data, como Data Scientist- Modelos de Crédito.

La misión de la Dirección de Ratings y Scorings es principalmente la de crear, evolucionar, mantener y velar por la correcta implantación de los modelos de riesgo de crédito en Banco Sabadell, debiendo éstos cumplir con los requerimientos normativos internos y externos (regulación vigente). Se deberá por tanto representar y defender los modelos de riesgo de crédito en la relación con los supervisores externos (SSM, Banco de España, auditores externos) e internos (auditoría y validación), debiendo informar, explicar y dar respuesta a las cuestiones y debilidades presentadas referente a los modelos.

Hablemos del Proyecto...

Tus funciones como Data serán:

• Desarrollo y mantenimiento de modelos de riesgo de crédito con afectación en capital o provisiones tanto para personas jurídicas como para personas físicas.
• Análisis de impactos en la gestión del riesgo y planteamiento de soluciones adecuadas y acorde con la regulación.
• Implementación y mantenimiento de los motores de cálculo de los modelos para su posterior uso en la gestión (réplicas, controles mensuales y análisis de factores).
• Gestión, mantenimiento y control de la calidad de los datos utilizados para la modelización.
• Definición y control del mapa de uso de los modelos para cálculo de capital regulatorio.
• Desarrollo metodológico estadístico para la modelización y definición de estándares.
• Soporte e interacción con líneas de control internas (Validación y Auditoría) e inspecciones/peticiones ECB.
• Soporte a otras áreas: JST (Riesgo de crédito tanto en visitas regulares como en investigaciones), Riesgos, Financiera, Agencias de Ratings.
• Soporte a otras entidades del grupo en el ámbito metodológico y en el cumplimiento de la regulación.

¿Qué valoramos de tu candidatura?

• Posees licenciatura de Estadística, Matemáticas, Física o Ingeniería Superior.
• Tu nivel de SAS/Python/R es elevado.
• Se requiere de una persona con capacidad analítica y de auto-organización, siendo capaz de trabajar en proyectos de forma muy organizada y cumpliendo con los estándares tanto internos (grupo BS) como externos (BCE).
• Se valorará la capacidad de trabajo en equipo, la constancia, la consciencia del trabajo bien hecho y la proactividad a la hora de proponer soluciones.
• Será también valorable la capacidad de síntesis y de saber exponer de una forma sencilla resultados y procesos técnicamente complicados.
• Experiencia en gestión de información, análisis de BBDD, elaboración de informes y reportings.
• Necesaria experiencia en modelización estadística.

¿Qué te ofrecemos?

• Serás parte de un equipo de profesionales de primer nivel, con una excelente reputación en el sector.
• Podrás disfrutar de una amplia oferta formativa.
• Aprenderás de la mano de Managers de referencia de las distintas direcciones.
• Ampliarás tu red de contactos a través de la colaboración y espacios de networking.
• Contarás con opciones de desarrollo de carrera y movilidad dentro del Grupo. Somos un grupo bancario que sienta sus bases en los principios de meritocracia y el desarrollo de sus colaboradores.
• Contratación indefinida y remuneración competitiva.
• Flexibilidad horaria, con posibilidad de teletrabajo y 31 días laborables de vacaciones.
• Productos y servicios financieros exclusivos para empleados (Préstamos a interés a 0%, hipoteca, plan de pensiones, seguros y compensación flexible).

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada27 d’oct.

Python Agile AWS Machine Learning Office

Introduction to role

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? Then Evinova, a new health tech separate business within the AstraZeneca Group, might be for you!

The Human-centered AI team at Evinova aims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for talented individuals to develop ideas into impactful product capabilities that make a difference to patients.

Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we help. Launch pioneering digital solutions that improve the patients´ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.

The team is looking for a Director of Data Science to lead machine learning and genAI projects, and develop innovative cross-product AI capabilities. The role is a technical expert driving hands-on development from prototyping to supporting production systems. The role will focus on the design of complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. The role will interact with product, design, engineering, MLOps, and subject matter experts and stakeholders.

Examples of projects the team works on include genAI search services, agentic document generation, algorithmic insight generation, optimization, high-frequency and high-dimensional clinical data modeling, clinical trial prediction, and much more!

Accountabilities
- Lead the design, development, and deployment of advanced agentic AI applications tailored to life sciences/health tech challenges.
- Develop automated techniques for designing and evaluating agentic systems.
- Ideate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).
- Design specialized agent/LLM observability pipelines for prototypes and production systems.
- Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning.
- Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding cross-functional teams through stages of the AI lifecycle.
- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.
- Represent the company´s AI expertise at conferences, publications, and industry events.

Essential Skills/Experience
- Ph.D. in a relevant field (such as mathematics, computer science, data science) or equivalent experience.
- 6+ years of industry experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
- Proven track record of developing creative and novel AI solutions that have driven significant business impact.
- Extensive prior experience exploring and testing language model behavior, prompting and building products with language models.
- Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).
- Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).
- Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.
- Excellent verbal and written communication skills with experience presenting to executive leadership and stakeholders.
- Demonstrated ability to lead and inspire cross-functional teams.

Desirable Skills/Experience
- Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
- Experience designing and implementing novel AI architectures or algorithms in real-world products.
- Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).
- Contributions to open-source AI projects or development of proprietary AI frameworks.
- Expertise in areas such as few-shot learning, meta-learning, explainable AI.
- Experience with regulatory environments in healthcare and life sciences.
- Experience with AI ethics, responsible AI practices in the life sciences industry.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca is where innovation meets impact! Our dynamic fields of medicine, science, and technology are always evolving. We embrace change by harnessing digital tools to reimagine healthcare delivery beyond core medical practices. With an agile mindset supported by leading pharmaceutical resources, we empower our teams to think critically and creatively. Here you´ll find a collaborative culture that encourages lifelong learning while making a global impact. Join us as we redefine patient experiences through technology-driven solutions!

Ready to make a difference? Apply now to join our team!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada17 de jul.

Python Agile TSQL Azure Cloud Coumputing AWS LESS Machine Learning .

If you’re here, it’s because you’re looking for an exciting ride.

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.

Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique?

🤝 Our culture and strong values.

💪 Our career development philosophy.

🤝 Our commitment to being a force for good.

We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION

We are looking for a talented and passionate Data Scientist to join the Lifecycle Data team in our Barcelona HQ.

Data Science, Machine Learning, and Experimentation are key drivers of Glovo’s customer engagement strategy. Data scientists at Lifecycle own some of the most impactful models and insights that optimize Glovo’s user retention and loyalty. This includes churn prediction models, customer segmentation, lifetime value modeling, and personalized recommendation engines. As a Data Scientist, you will have the opportunity to work on projects that directly impact Glovo’s ability to maximize user engagement, retention, and overall lifetime value.

THE JOURNEY

• Develop, test, and productionize predictive and prescriptive algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
• Evaluate algorithms through controlled offline (e.g., cross-validation) and online experiments (e.g., A/B testing, uplift modeling).
• Contribute to one or more of the following areas: churn prediction, customer segmentation, lifetime value modeling, and personalized recommendations.
• Design and implement experiments to measure the effectiveness of lifecycle initiatives, providing actionable insights to product and marketing teams.
• Work in cross-functional teams across disciplines such as product, engineering, growth, and CRM, amongst others.
• Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
• Promote best-in-class standards, taking inspiration from industry thought leaders.
  
  

What You Will Bring To The Ride

• Deep theoretical and applied knowledge in at least one of the following areas: traditional machine learning, statistical modeling, causal inference, customer analytics, time series analysis, and optimization.
• Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes:
• Strong data modeling and SQL skills.
• Familiarity with orchestration tools (Airflow, Luigi, Dagster) and cloud infrastructures (GCP, AWS, Azure).
• Extensive experience using the Python ML and DS ecosystem.
• Excellent verbal and written communication in English, as you will use it to collaborate with stakeholders and senior management from diverse backgrounds.
• Working knowledge of agile development.
• Change management skills and adaptability in a fast-paced environment.
• Strong presentation skills in communicating with experts and non-experts alike.
  

Good To Have

• Experience in applying Data Science techniques to customer retention, engagement, and lifecycle optimization.
• Experience working with CRM data, A/B testing frameworks, and customer segmentation tools.
• At least an MSc, and preferably a PhD in a scientific discipline such as Computer Science, Mathematics, Statistics, Economics, or a related field.
  
  

Even if it seems you don't meet our musts, don’t let it stop you! We are all about finding the best talent out there. Skills can be learned, and embracing diversity is invaluable.

Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

We Believe Driven Talent Deserves

• 🌟 An enticing equity plan that lets you own a piece of the action.
• 💪 Top-notch private health insurance to keep you at your peak.
• 🍔 Monthly Glovo credit to satisfy your cravings!
• 💳 Discounts on transportation, food, and even kindergarten expenses.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.
  
  

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!