Senior Data Scientist

If you're looking for a place to develop your career and be part of a community passionate about books, you've come to the right place!

At Penguin Random House Grupo Editorial, we are driven by a dual purpose: to safeguard the future of books and reading.

To achieve this goal, we publish books for readers of all ages and in different formats: paper, digital, and audio. We are the Spanish-language division of the international publishing company Penguin Random House. We are part of the Bertelsmann Group, a multinational company that operates in more than 50 countries worldwide.

We place human culture at the heart of our daily activities as a company. We value each employee as unique and foster an inclusive and diverse work environment where everyone feels heard, respected, and valued. We encourage creativity, collaboration, and continuous learning, providing the tools and support necessary to reach their full potential.

We are looking for an experienced Data Scientist to join our growing team of analytics experts. The hire will be responsible for projects that support our commercial, sales, editorial and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action. 

If you have a passion for discovering solutions hidden in large data sets, and you are excited by the prospect of optimizing or even re-designing our company’s data architecture and working with stakeholders to improve business outcomes, do not miss this opportunity!

Your responsibilities will be: 

• Identify business use cases that can be solved with AI.
• Undertake pre-processing of structured and unstructured data.
• Analyze data at different stages of the modelling pipeline.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modelling.
• Identify additional datasets or generate synthetic data.
• Propose solutions and strategies to business challenges.
• Seek feedback, share results through Data Visualizations.
• Collaborate with engineering teams and business units.

Needs for the position: 

• PhD or Masters Degree in Mathematics, Statistics, or other quantitative sciences.
• 3+ years of experience building productionised machine learning models at scale with a preference for MVP and iteration.
• Experience working on Sales Forecasting and Price Optimization and NLP/GenAI.
• Experience with tools like Airflow, Docker and Kubernetes.
• Demonstrated computer programming ability including fluency in both Python and SQL.
• Experience conducting research and analysis on large data sets and providing rigorous interpretations of the results.
• The ability to model complex problems mathematically and/or computationally.
• Proven ability to drive business results with their data-based insights
• A solid understanding of key statistical concepts.
• Knowledge of common Data Science toolkits (e.g. Pandas, Numpy, Scikit-Learn).
• Fluent spoken and written English. Spanish (basic).
• Experience with Power BI, Streamlit, Gradio and Dash is a plus.
• Experience with OOP
• Knowledge of deep learning frameworks (e.g. TensorFlow, PyTorch.).
• Self-directed and comfortable working with a wide range of stakeholders and functional teams
• Passion for discovering solutions hidden in large data sets

What do we offer?

• Flexible working culture with 50% of home working.
• Holidays above the agreed time and sabbatical periods.
• Emotional well-being program with psychological care and coaching.
• Ticket Restaurant, childcare assistance and access to the flexible compensation plan.
• Access to our digital reading and audiobook app.
• Gift voucher on your birthday
• … ¡And much more!

Penguin Random House values ​​the variety of talents and perspectives that a diverse workforce brings. All qualified candidates will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, or disability.

Discover why working at Penguin Random House Grupo Editorial in a unique experience following us at LinkedIn and visiting our web:  

https://www.penguinrandomhousegrupoeditorial.com/trabaja-con-nosotros/como-trabajamos/

Empresa: Penguin Random House Grupo Editorial, S.A.U. 

País: España

Región: Barcelona

Ciudad: Barcelona 

Código postal: 08021

Job ID: 280739