Empleos para Big Data en wijobs.es

Nivel de experiencia---
Tipo de contratoA tiempo completo
Publicada18 may.

Python R Big Data Machine Learning Tableau

Summary

The Barcelona Digital Finance hub is a start-up within Novartis, which crafts finance business partnering solutions demonstrating innovation and talent. Artificial intelligence and predictive analytics are reshaping the function and this new team will be a differentiator, encouraging new ideas. To add even greater value for the business we need to have the right people with the right capacities in the right location. We need ground-breaking innovation, customer-orientation and focus on bringing the best services and solutions to the business – both globally and locally – to support Finance. We are looking for early talent with experience in consulting or business partnering who are eager to make a difference. The hub offers a real opportunity to develop in a highly fast-paced, multicultural, technology-driven environment where collaboration and innovation are at the heart of who we are and what we do.

About The Role

Your responsibilities include, but not limited to:

Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling
Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
Quickly learn and pilots the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo
Identify research articles and reproduce/apply innovative methodology to Novartis business problems
Provide understandable and meaningful business intelligence for key partners
Bring understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques
Help developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources
Support various projects, of limited scope.

Role Requirements

Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
Academic experience in a multidisciplinary data & analytics environment or in research
Experience in predictive modelling and large data analysis
Experience in statistical/analytics tools such as R, SAS, Python or big data technologies for machine learning
Expertise in at least a visualization tools QlikView, Spotfire, Tableau for crafting insights.
A track record of innovating through machine learning, data bases and statistical algorithms and their applications. Hands on experience with data mining, its concepts, techniques and implementation.
Fluent English (written and verbal)

Desirable Requirements

Business proficient in Spanish (written and spoken)

Why consider Novartis?

799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis!

Commitment To Diversity & Inclusion

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:

https://talentnetwork.novartis.com/network

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Flexibilidad horariaSí
Nivel de experiencia---
Tipo de contratoA tiempo completo
Publicada18 may.

Java MySQL MongoDB Python TSQL Azure Cloud Coumputing Scala Hadoop AWS PostgreSQL Kafka Spark Big Data Office

If you have a passion for technology and thrive on innovative and diverse projects, you've found your ideal destination. If you don't know us yet, we are a global technology provider that offers a complete portfolio of solutions in Payment, Mobile and Identity Solutions. With a rich history spanning 65 years of global experience, we have built a solid legacy that continues to grow. Comprising over 4,000 dedicated professionals across 16 countries, we collaboratively work towards creating a more trustworthy and secure world.

Our vertical offers solutions for the Telecommunications market, such as SIM Cards, eSIMs, Subscription Management, iSE, to secure connectivity and guarantee interoperability, connecting people, companies, and objects efficiently and with secure processes.

We are actively seeking a passionate Data Analyst ready to embark on a journey of continuous learning and professional growth with our team. Based in our Madrid office, you will play a crucial role in designing, developing, and maintaining the architecture and infrastructure necessary for extracting, transforming, and loading (ETL) data from various sources.

The ideal candidate will have a recent background in data engineering and some expertise in designing and data pipelines management.

Key job responsibilities:

Data Architecture: Design, implement, and maintain scalable and robust data architecture to support the organization's data needs. Collaborate with analysts, and other stakeholders to understand data requirements and translate them into technical specifications.

ETL Development: Develop, optimize, and maintain ETL processes to ensure the efficient and accurate flow of data from source systems to data warehouses. Implement data cleansing, transformation, and enrichment techniques to ensure data quality and consistency.

Data Warehousing: Optimize data warehouse structures for fast querying and reporting. Work with large datasets and implement strategies for partitioning, indexing, and optimizing query performance.

Data Integration: Integrate data from various sources, both internal and external, ensuring seamless data flow and consistency. Implement real-time data integration solutions to support business needs.

Data Modeling: Design and implement data models that align with business requirements and support analytical processes. Ensure data models are scalable, flexible, and meet performance requirements.

Monitoring and Maintenance: Implement monitoring systems to proactively identify and address data pipeline issues. Perform regular maintenance, updates, and optimizations to enhance data pipeline performance.

If you want this position to be yours, we would like you to have the following:

Fresh graduated in computer science, data science, or a related field.
Proficient in English, both verbally and in writing.
Strong programming skills in languages such as Python, Java, or Scala.
Proficiency in SQL and experience with database systems (e.g., PostgreSQL, MySQL, MongoDB).
Knowledge in big data technologies (e.g., Hadoop, Spark, Kafka).
Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift).
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

What do we offer?

Join our team Valid by entering into technological and innovative projects within multicultural and multidisciplinary teams.
Flexibility. We have flexible hours and possibilities of working from home to improve the work-life balance of our employees.
We care about your well-being. You will have private medical insurance
Do you need a break? You will find our cafeteria at your disposal

If you believe this opportunity is a good fit for you, please either apply through LinkedIn or send your application to: [email protected]

Join this great team and be part of our story!

Valid creates an inclusive environment for all employees. We are committed to building a company that reflects the diversity of the world that means fighting for equal opportunities based on a responsible and inclusive management of its human team with actions as non-discrimination concerning sex, age, race, sexual orientation, religion, education, social status, culture, or special needs such as illness or disability.

Nivel de experiencia---
Tipo de contratoA tiempo completo
Publicada17 may.

Big Data

Company Description

About the company

The company is a young, dynamic company with operations in Oslo and Barcelona revolutionizing agriculture with our premium biofertilizers. We improve soil health, boost water retention, and slash greenhouse gas emissions by transforming waste from agriculture and livestock. Our commitment to sustainability through advanced bio-science, big data, and circularity is changing the future of farming.

The Opportunity

We're seeking a visionary Science & Innovation Director of Biofertilizer to lead the creation of circular products designed to transform agriculture. You'll drive product development and spearhead the groundbreaking biofertilizer manufacturing process. This leadership role is ideal for someone passionate about innovation, biochemical production, and building high-performing teams.

Based in Catalonia, this position involves travel to factory locations, Oslo, and potential international destinations.

Job Description

Key Responsibilities:

Innovation Catalyst: Scale proven science into a robust manufacturing process, leading the R&D plan for this revolutionary transformation.
Strategic Collaborator: Build partnerships with leading innovation centers to propel development across multiple streams.
Production Optimization: Direct experiments, analyze data, and champion continuous improvement of production and biofertilizer quality.
Intellectual Property Leader: Safeguard our innovations through meticulous documentation and securing appropriate intellectual property protections.
Culture of Learning: Mentor and inspire a team driven by a thirst for knowledge and a passion to integrate new insights.
Product Visionary: Identify new product opportunities and set production priorities based on real-world agricultural applications. Partner with sales and marketing to shape the product portfolio.
Industry Ambassador: Engage with the industry at conferences and events as a thought leader, network builder, and company representative.

Qualifications

Qualifications and Experience:

Leadership Track Record: Proven success in innovation and R&D management in or for the private sector.
Bio/Chem Expertise: Deep experience in bio/chemical fertilizer development, agricultural research, or related fields.
Advanced Education: Degree in Biochemistry, Agriculture, Biotechnology, or a similar field. Masters & Doctorates are highly valued.
Cross-functional Understanding: Solid grasp of biochemical processes, agricultural practices, and market forces.
Multilingual: Fluent in Spanish and English.

Additional Information

Why Join Us:

Make a Global Impact: Play a central role in transforming agriculture, cleaning water streams, reducing emissions, and driving sustainability.
Join a Pioneering Team: Collaborate with experts at the forefront of this agricultural revolution.
Lead with Purpose: Your scientific leadership directly contributes to a healthier planet.
Thrive in a Dynamic Environment: Enjoy a fast-paced, vibrant workplace based in Barcelona or Lleida, with travel opportunities.
Competitive Compensation: Receive an attractive salary and benefits package.

Become a driving force in the sustainable agriculture revolution.

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

Teletrabajo Python Agile TSQL Azure Cloud Coumputing AWS Spark Big Data Machine Learning Tableau 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 690 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 area of Data Science and Machine Learning is gaining momentum. The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.

As a Data Scientist in the Wallapop Managed Marketplace Tribe, you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as optimizing our Shipping and Logistics operations, fighting against fraud and contributing to the Trust & Safety of our platform, and improving the Customer Service user experience.

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 and ML 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.

You will be part of a growing Machine Learning team (7) within the Data & Analytics department (30+).

What You Will Do 👇

Take responsibility for the Data Science and ML initiatives within the Managed Marketplace Tribe
Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
Work with Data Scientists, ML Engineers and Software Engineers to explore and build the best performance and scalable solutions.
Take ownership of the complete Data Science and Machine Learning workflow: ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration.
Proactively suggest, research and prototype new ideas for data and ML solutions.

What We’re Looking For 🔎

Bachelor or MsC degree in engineering, mathematics, statistics, physics, or another quantitative field.
Good understanding of ML concepts and techniques, and the whole ML development lifecycle.
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.
Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
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).
Analytical and rigorous mindset, but also innovative and proactive, with autonomy and a team-player attitude.

What Would Be A Plus 🚀

Experience working within the Logistics, Trust & Safety or Customer Service domains.
Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
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).
Familiarity with MLOps philosophy.
Experience with GenAI tools (AWS Bedrock) and use cases (chatbot, RAG, etc).
Experience working with Big Data technologies (Spark)
Experience with data visualization tools (Looker, Amplitude, Tableau, or others)..
Fluent in any of the main languages present in Wallapop: Spanish, Italian, Portuguese.

Do note that all our jobs are 📍 Barcelona based. We work in a mostly remote capacity offering great flexibility to our employees, but we believe in the power of getting together regularly in our office. As a first iteration, we expect a 4+ day/month office attendance for which the specifics are decided on a team level.

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 & Spanish lessons as part of our working day
Private Health Insurance with Cigna
Flexible working hours + short 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
Workiversary 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)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation and expectations. This usually takes 45-60 minutes.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Nivel de experiencia---
Tipo de contratoPor días
Publicada16 may.

Agile Big Data

Finance Director Spain

About Coty

Coty is one of the world’s largest beauty companies with an iconic portfolio of brands across fragrance, color cosmetics, skin and body care. Coty is the global leader in fragrance. Coty’s products are sold in over 150 countries around the world. Coty and its brands are committed to a range of social causes as well as seeking to minimize its impact on the environment. For additional information about Coty Inc., Please visit www.coty.com .

Mission:

Owns and co-pilots Spanish Market to enable growth and development of strategic objectives such as skincare category development. Close business partnering to the local GM/MD. Provides Financial leadership in ensuring strong and sustainable profitability. Accountable on SOX compliance, and knowledge of local tax & Gaap. Master a continuous improvement mindset and skillset. Drive and grow a strong team.

Main Responsibilities: Local Finance Leadership

Leads All financial planning process.
Guarantee accurate financial closure under local and US Gaap.
Optimize the P&L KPI’s with a greater focus on the trade investment and sales mix to improve business profitability.
Build strategies to achieve our target.
Drives different growth and transformation agenda in the 2 divisions.
Work together the other FDs to improve pan European vision.
Accompany on improving Fixed Costs and Capex utilization.
Identifies opportunities to optimize current model and sources of future growth and challenge the status quo.
Ensures consistency and strategy alignment with Central Guidance
Manage SOX compliance in the Business Unit
Strong leadership: work to foster a positive and inclusive work environment providing guidance and motivating team members to achieve their goals and bloom their potential.

Knowledge And Experience

Sound business judgment and strong business acumen.
Problem solving and facilitating communication and decision-making between departments.
Blend of finesse in aligning multiple stakeholders.
Experience in managing all financial aspects of different business models (subsidiary/ affiliate, distributor, and wholesale business)
Skilled in change and stakeholder management
Demonstrated experience in dealing with multiple challenges at the same time.
Track record in developing and coaching talent in their organization.
Fluent English, other languages a plus

Professional and Personal Competencies

Ability to understand big picture/concept and detail.
Excellent in Financial management
Superb communication and interpersonal skills
Able to work in complex, dynamic, and agile environments.
Proficient in Organization design and team development
Big data Analytics
Capacity to energize teams to go beyond boundaries.
Degree in Finance or any other related science.

Nivel de experiencia---
Tipo de contratoA tiempo completo
Publicada15 may.

Teletrabajo Python R Big Data

En Arelance sabemos que las personas son el activo más importante dentro de una empresa y por tanto invertimos muchos esfuerzos en buscar los mejores profesionales para nuestros clientes y en ofrecer a nuestros candidatos los mejores proyectos.

En este momento buscamos un/a profesional con experiencia previa en desarrollo de proyectos de Inteligencia Artificial con enfoque en IA Generativa con experiencia en entornos dinámicos y gestión de equipos.

¿Qué buscamos en ti?

A nivel técnico

Experiencia en desarrollo de IA específicamente en el ámbito de IAG de más de 3 años (imprescindible)
Conocimiento sólido en lenguajes de programación como Python R o similares.
Experiencia con frameworks y bibliotecas de IA como TensorFlow PyTorch etc.
Habilidades de liderazgo y gestión de equipos con capacidad para motivar y guiar a los miembros del equipo.
Excelentes habilidades de comunicación y capacidad para trabajar en equipo.
Muy valorable residir en Sevilla o Málaga o disposición a viajar a estas ciudades para reuniones con equipo de forma puntual.

Soft Skills

Experiencia previa en gestión de equipos (no es un requisito indispensable pero sí deseable).
Capacidad para tomar decisiones estratégicas y técnicas.
Proactividad y capacidad para trabajar de manera autónoma.
Adaptabilidad y ganas de aprender y mejorar continuamente.

Funciones

Desarrollar e implementar soluciones de inteligencia artificial generativa (IAG).
Colaborar con diferentes departamentos para identificar necesidades y oportunidades de aplicación de IAG en los distintos proyectos a desarrollar.
Gestionar y liderar equipo de desarrolladores (junior y middle) promoviendo un ambiente de trabajo colaborativo y efectivo.
Participar en la toma de decisiones técnicas.
Supervisar el ciclo de vida de los proyectos asegurando el cumplimiento de plazos y objetivos de calidad.
Mantenerse actualizado con las últimas tendencias y avances en el campo de la IA y IAG.

¿Qué ofrecemos?

Incorporación en un proyecto estable
Contrato indefinido en Arelance banda salarial negociable según experiencia aportada (De 39 a 45K B/A)
Acceso a formación
Modalidad remoto 100 desde España

Si tienes interés en una gran oportunidad como ésta ¡inscríbete! ¡Queremos conocerte!

Se requiere disponer de permiso de trabajo y/o residencia en España para optar a la posición

IA, inteligencia artificial, big data, python

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Ofertas de empleo para Big Data

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Top Zonas

Top Empleos

Big Data

Data Scientist

Novartis

Data Analyst

Valid

Science & Innovation Director of Biofertilizer

xaviroca.com

Programador/a Big Data

CMV Consultores

Data Scientist

Wallapop

Finance Director

Coty

Desarrollador/a Python - Madrid, España

CMV Consultores

Analista de Datos (Python PySpark)

arelance

Ingeniero/a IAG - Gestión de equipo

Arelance