Ofertas de empleo de Científico/a de Datos en Barcelona

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 nov.

. Python TSQL R Machine Learning

¡Impulsa tu carrera con AXPE Consulting! 🚀💻

En AXPE Consulting estamos revolucionando el mundo de la Tecnología y queremos que formes parte de esta aventura. Te invitamos a vivir una experiencia única en una compañía multinacional con presencia en Europa y América, que no solo mira al futuro, sino que lo construye.

Nuestros valores son el motor que impulsa nuestro propósito y define nuestra identidad: en AXPE, apostamos por el TALENTO.

🔍 ¿Eres un/a Data Scientist con experiencia en analítica avanzada y visión estratégica?

Desde nuestro Departamento de Data & Analytics, buscamos un perfil con formación sólida en estadística, machine learning y modelización avanzada para impulsar iniciativas clave de negocio y apoyar la toma de decisiones estratégicas.

Si te apasiona entender el comportamiento del cliente, descubrir patrones complejos y transformar datos en impacto real… ¡esta oportunidad es para ti!

💡 ¿Qué esperamos de ti?

• Titulación o sólida formación en Matemáticas, Estadística, Data Science o áreas afines.

• Mínimo 2 años de experiencia en entornos de negocio, marketing o trade.

• Conocimientos avanzados en estadística, econometría, análisis causal y machine learning.

• Dominio de Python, R, SQL y herramientas de visualización de datos.

• Capacidad para manejar contextos ambiguos, resolver problemas complejos y analizar información desde un enfoque crítico.

• Habilidades de data storytelling para comunicar hallazgos de forma clara, estratégica y orientada al negocio.

• Perfil autónomo, ágil y capaz de gestionar múltiples solicitudes en paralelo.

• Nivel de inglés alto para interactuar con equipos locales e internacionales; francés valorado positivamente.

🎯 Se valorará positivamente:

• Experiencia en clustering avanzado, segmentación de clientes y análisis de comportamiento.

• Conocimientos en técnicas de causal inference, AB testing y evaluación de impacto.

• Experiencia colaborando con equipos comerciales para convertir datos en insights accionables.

• Capacidad para desarrollar modelos que expliquen relaciones causa–efecto y factores de crecimiento.

• Experiencia generando informes regulares y ad-hoc para soportar decisiones estratégicas.

🌟 ¿Qué te ofrecemos?

• 📍 Proyecto estable en un entorno multinacional y multidisciplinar.

• 💼 Contrato indefinido desde el primer día.

• 💰 Salario competitivo, alineado con tu experiencia y proyección.

• ⚕ Seguro médico a precio reducido.

• 📚 Acceso a formación continua y certificaciones, impulsando tu crecimiento profesional.

• 🌍 Formar parte de un equipo que apuesta por el talento, la innovación y la excelencia.

• 🏡 Modalidad híbrida y horario flexible, promoviendo la conciliación.

En AXPE, el talento es nuestro eje.

Somos expertos en tecnología y tenemos un firme compromiso con la responsabilidad corporativa. Promovemos la educación tecnológica y ofrecemos oportunidades tanto a nivel formativo como laboral.

📢 ¡Ser parte de AXPE es liderar la transformación tecnológica!

¿Estás listo/a para dar el siguiente paso? 🧑 💻🚀

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 nov.

. Python Cloud Coumputing Git Office

We’re hiring a Python‑first, statistics‑strong Data Science Intern (or junior ML Engineer) to partner with our Data Analysts on the hardest problems we have: probabilistic LTV, churn prediction, and forecasting that actually moves CAC, payback, and ROAS.

⚠️ READ THIS FIRST — Apply only if you meet this:

• Eligibility: You’re currently studying at a university in Spain (ideally in or near Barcelona) and can sign a "convenio de prácticas". This position is open exclusively for internship agreements.

If you’re not sure whether your university can provide one, please confirm with them before applying, as we’ll automatically filter out candidates who can’t meet this requirement.

Otherwise, feel free to check out our other junior roles on the Carrots Lab LinkedIn page › Jobs

where a "convenio" isn’t required.

⭐ WHAT YOU’LL OWN (Your Mission)

• LTV Prediction & Probabilistic Forecasts
• Build, compare, and iterate LTV models (e.g., survival/retention‑based, zero‑inflated + Gamma, GBMs). Produce calibrated predictions we can trust for UA and pricing.
• Churn & Retention Modeling
• Predict churn windows and retention curves by app/geo/cohort to inform payback and creative/keyword strategy.
• Signal Engineering for UA
• Translate model outputs into conversion signals (e.g., value‑based bidding targets) that improve Google/Meta optimization.
• Revenue & Cohort Analytics (Python)
• Pull, transform, and join event & purchase data (RevenueCat, AppsFlyer, Firebase, BigQuery) into model‑ready datasets.
• Decision Science
• Evaluate A/B tests (frequentist or Bayesian), pricing experiments, and funnel changes with confidence intervals and practical uplift.

📈 WHAT SUCCESS LOOKS LIKE (90 Days)

• LTV v1 shipped per flagship app with baseline vs. model comparison (e.g., MAE/RMSE or calibration plots) and a documented retrain cadence.
• Churn or retention model v1 that beats naive benchmarks (e.g., 30‑day retention mean) and informs UA payback assumptions.
• Signal spec delivered: which in‑app events/values we should pass to ad platforms, how to weight them, expected CPA impact.
• Reproducible codebase: clean notebooks/scripts with README, functions, and basic tests; data pulls automated in Python.
• Live dashboards (with Sergi): LTV/payback & cohort views wired to Looker for weekly decision‑making.

🧠 WHAT YOU’LL DO (Day‑to‑day)

• Write Python every day: data prep, feature engineering, modeling, evaluation, and reporting visuals.
• Query data from BigQuery/RevenueCat/AppsFlyer/Firebase via Python; assemble tidy training datasets.
• Train and compare models (e.g., linear/GLM, XGBoost/LightGBM/CatBoost, survival analysis, time‑series).
• Calibrate predictions (Platt/Isotonic), monitor drift, and set up retraining logic.
• Package insights for UA and Product: concise memos, charts, and clear “so‑what” recommendations.
• Pair with Sergi (analytics & viz) and the CEO (UA/product strategy); own the technical depth.

🛠️ WHAT YOU MUST HAVE (Hard Requirements)

Non‑negotiable. Please apply only if you meet all.

• Python: strong hands‑on with pandas, NumPy, scikit‑learn, Jupyter.
• Statistics & ML: probability, hypothesis testing, regression, classification, evaluation & calibration.
• Project evidence: at least one end‑to‑end model you can show (repo/notebook; academic is fine if applied).
• Autonomy & speed: ability to self‑direct, research, and ship working code without step‑by‑step guidance.
• Communication: explain complex modeling choices in plain language, with actionable conclusions.
• Availability: full‑time in Barcelona (hybrid), 6+ months commitment.
• Work authorization: able to work in Spain (student internship agreement or junior contract).

🎯 NICE‑TO‑HAVE (Great to see)

• Bayesian modeling (PyMC/Stan), survival analysis (lifelines), time‑series (statsmodels).
• Gradient boosting (XGBoost/LightGBM/CatBoost) and model calibration.
• Experience with BigQuery (via Python), RevenueCat, AppsFlyer, Firebase, Amplitude.
• Basic Git, packaging, and testing discipline.
• Prior exposure to subscription datasets (trials, renewals, cancellations, grace periods).

🧩 HOW WE WORK

• Stack: Python, BigQuery, Looker, RevenueCat, Firebase, AppsFlyer, Amplitude, Google Cloud.
• Cadence: weekly experiment reviews; model metrics > opinions; minimal meetings; fast iterations.
• Culture: high speed, high standards, zero drama. We spend every euro like it’s our own.

🎁 WHAT WE OFFER (Compensation & Benefits)

We offer a high-impact, high-autonomy role with a reward structure aligned to the company's growth in Barcelona.

• Paid Internship: This is a remunerated full-time position designed to give you real ownership and impact — not just “student tasks.”
• The compensation is competitive for top data students or recent graduates in Barcelona.
• Flexibility & Time Off: Flexible working hours, 25 days annual leave, and 1 month of 'work from anywhere' outside of Spain.
• Executive Workspace & Tech: Private offices at Norrsken House Barcelona (with complimentary membership) and a generous €5,000 EUR budget for professional home-office equipment.
• Wellness: Option to require a high-end Gym Membership at innerflow.es, including Spa Access in the same office building.
• Cantina: Delicious, healthy, and flexible in-office catering — meals starting at just €2–€3.
• Training: Dedicated Budget for an education program.
• Career Trajectory: A Tailored career plan with performance reviews and salary calibrations every 6 months.

If you made it all the way down here…

Stop looking for entry-level jobs where they’ll spend six months “onboarding” you to clean up spreadsheets.

Come here and build real things from day one. Worst case? You’ll leave smarter.

Carrots Lab is an equal opportunity employer that celebrates diversity. All applicants will be considered regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability, gender identity, or expression.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 nov.

. Python TSQL Git Fintech Machine Learning Power BI Tableau

ROLE PURPOSE

The purpose of the Data Scientist role in our risk department is to enhance the company’s decision-making capabilities through data-driven insights. By leveraging machine learning, statistical analysis, and data science methodologies, the Data Scientist will contribute to developing and refining credit scoring models, collection models, product models and portfolio optimization strategies. This position is central to driving innovation and improving our risk management and product processes in a dynamic FinTech environment.

PRIMARY RESPONSIBILITIES

• Develop and optimize credit scoring models using statistical and machine learning techniques.
• Conduct data analysis to identify risk factors, assess customer creditworthiness, and product behaviour
• Create reports and visualizations to monitor model performance and portfolio quality.
• Collaborate with the IT team to deploy and support models in a production environment.
• Test and fine-tune models based on market changes, customer needs, and regulatory requirements.

KNOWLEDGE & SKILLS

Must-Have Skills:

• Proficiency in Python (Pandas, NumPy, Scikit-Learn).
• SQL skills to manage and analyze data through complex queries.
• Foundational knowledge of machine learning, including linear and logistic regression, decision trees, and random forests.
• Experience with advanced ML techniques (e.g., gradient boosting) and libraries such as XGBoost, LightGBM, or CatBoost.
• Git version control for code management.
• Solid understanding of statistics (variance, correlation, p-value, t-tests, etc.).

Nice-to-Have Skills:

• Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of regulatory requirements in Spain and Mexico’s lending sector, with knowledge of data protection laws.
• Experience with neural networks and deep learning libraries, such as PyTorch or TensorFlow.
• Ability to deal with external providers and to communicate in an appropriate & clear manner at different layers of the organization.

BENEFITS

💪 Private health and dental insurance

👟 Discounted gym membership

💻 Freedom to work from home two days a week

🍎 Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks

🌍 Team building activities and work in an international and passionate environment

Don’t miss the opportunity to be part of a company that values innovation and talent!

Join us and take your career to the next level 🚀

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 nov.

. Python TSQL Cloud Coumputing Git AWS PostgreSQL Machine Learning Power BI Tableau

¿Buscando nuevos retos? ¿Quieres formar parte de nuestro equipo? 🚀

Desde Profile buscamos un/a Data Scientist con un perfil Mid-level para integrarse dentro de un equipo de analítica de datos. Serás responsable de la gestión, análisis y explotación de los datos energéticos de la compañía, contribuyendo al desarrollo de soluciones basadas en datos que impulsen la eficiencia operativa y la toma de decisiones estratégicas.

Este rol es ideal para una persona proactiva, con curiosidad técnica y motivación por crecer en un entorno dinámico y en plena redefinición

Con ilusión es como se cambian las cosas, y queremos contribuir a un futuro mejor gracias a la tecnología. Para conseguirlo no necesitamos héroes ni súper talentos, sino personas implicadas, motivadas, con muchas ganas de trabajar en equipo y de crecer dentro de este proyecto común que formamos todos/as.

Responsabilidades principales:

• Desarrollar y mantener modelos predictivos que optimicen procesos y anticipen comportamientos del sistema energético.
• Gestionar y analizar grandes volúmenes de datos provenientes de distintas fuentes: medidas, datos de productores y consumidores, entre otros.
• Garantizar la calidad, integridad y disponibilidad de los datos para su uso en análisis y toma de decisiones.
• Explorar, transformar y visualizar datos para generar insights de valor y apoyar a las distintas áreas del negocio.
• Colaborar con equipos multidisciplinarios (operaciones, ingeniería, negocio) para definir requerimientos y soluciones basadas en datos.
• Trabajar en entornos cloud (AWS), aprovechando sus herramientas y servicios para el procesamiento y modelado de datos.

¿Qué esperamos de ti?🔎

• Experiencia de 2 a 4 años como Data Scientist, Data Analyst o roles afines.
• Sólidos conocimientos en estadística, machine learning y modelado predictivo.
• Experiencia práctica con Python (pandas, numpy, scikit-learn, etc.) y herramientas de visualización (Power BI, Tableau, o similares).
• Experiencia en manejo de grandes volúmenes de datos y bases de datos relacionales / no relacionales (SQL, PostgreSQL, Redshift, etc.).
• Familiaridad con entornos cloud (AWS).
• Conocimientos de ETL, automatización de procesos y buenas prácticas de versionado (Git).
• Capacidad analítica, orientación a resultados y mentalidad colaborativa.

Se valorará

• Experiencia o conocimiento en el sector energético (mercados eléctricos, producción, consumo, eficiencia energética, etc.).
• Experiencia con servicios específicos de AWS (S3, Lambda, Glue, SageMaker, Redshift).
• Conocimiento de modelos de forecasting energético o series temporales.

VALORABLE certificado de discapacidad

Te damos buenas razones para unirte a nuestro equipo 🤼

• Garantizamos el equilibrio trabajo/vida. Disponemos de flexibilidad horaria, jornada intensiva los viernes y mejoramos tus vacaciones por cada año que pases con nosotros/as.
• Disponemos de retribución flexible. Puedes optimizar fiscalmente tu salario a través de cheques gourmet, seguro médico privado, tarjeta transporte, cheques guardería, formación, etc. Podrás beneficiarte de tantas ventajas como elijas y adaptarlas a tus necesidades.
• Te daremos la mejor acogida con un proceso de onboarding en el que te sentirás como en casa desde el minuto uno y también recibirás tu welcome pack.
• Reconocemos la aportación, implicación y compromiso de todos aquellos que ayudamos a crear un entorno de trabajo más agradable y profesional a través de nuestra plataforma de gamificación.
• Celebramos tu cumpleaños regalándote un cheque regalo de Amazon y te acompañamos en los momentos más especiales de tu vida con muchas otras sorpresas.
• Fomentamos un ambiente de trabajo en el que todos/as seamos felices. Nuestro equipo multidisciplinar de People & Culture trabaja día a día para aumentar el bienestar y la motivación de todas las personas que componemos Profile.
• Trabajamos para que todos/as tengamos las mismas oportunidades, combatir discriminaciones y fomentar la conciliación de la vida personal, familiar y laboral.

¡Conócenos!💛

Si tienes ganas de crecer y trabajar en un buen ambiente de trabajo, de manera cómoda y productiva, y ¿por qué no?, divertida. Te ofrecemos un gran número de ventajas para facilitarte esta decisión. Contáctanos y ¡te lo contamos!

Conócenos más sobre Profile en nuestra web www.profile.es

Puedes consultar aquí nuestra política de Privacidad y Gestión de Datos: https://profile.es/politicadeprivacidad/

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 nov.

Python Agile TSQL Azure Cloud Coumputing AWS Machine Learning Office

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace´s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 806 million EUR and are embarking on our international journey with the aim to become the world´s best unique goods trading platform.

The Challenge

The Wallapop platform generates tons of data and, with a mature data infrastructure already in place.The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.

As a Data Scientist in the Wallapop you will be working on the Data Science initiatives aimed at improving the whole marketplace dynamics.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop´s Data Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do
- Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
- Develop and implement machine learning models to solve business problems, such as personalized recommendations, fraud detection, and pricing optimization.
- Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
- Own initiatives from start to deployment: ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
- Proactively suggest, research and prototype new ideas for data and ML solutions.
- Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We´re Looking For
- Bachelor or MsC degree in engineering, mathematics, statistics, physics, or another quantitative field.
- Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
- Experience building complex data products and ML solutions to real-life problems in a production-oriented environment, identifying the right techniques to solve the problem at hand.
- Experience with common libraries and frameworks such as Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
- Advanced in SQL, capable of getting the data required from the appropriate sources, and building and maintaining data pipelines if needed (experience in tools such as Airflow or DBT would be a plus).
- Excellent communication and presentation skills, with the ability to explain data insights to business stakeholders in the context of marketplace dynamics.

What Would Be A Plus
- Experience working with Search & Ranking models in production environments
- Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
- Experience working within the Logistics, Trust & Safety or Customer Service domains.
- Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits:
- Competitive phantom shares package for all employees
- Generous individual learning budget of 2k per year
- Group and individual English, Catalan & Spanish lessons as part of our working day
- Private Health Insurance with Alan
- Flexible working hours + intensive Fridays
- Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
- Gym & Wellness plan, including physiotherapist in the office
- Generous referral Program & Charity Donation
- Bonus for weddings & newborns
- Wallapop Renta (Tax income support)
- Monthly plan for free shipping, bumps & home-pick-up on our services
- Work anniversary Gifts and Birthday Surprises
- Contribution towards your WIFI in your monthly payroll
- One-off payment based on compensation package to go towards setting up your home office
- Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
- 26 holidays per year
- TOP hardware of your choice (latest Apple or Windows)