Data Scientist - Machine Learning Core Team (ODS)
SANTA BARBARA 2-PLANTA SEGUNDA, Spain
Santander
Our purpose is to help people and businesses prosper. We strive to make all we do Simple, Personal and Fair.Data Analytics & Models Analyst
Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates.
Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry.
Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers!
Join us to tackle exciting tech challenges in an agile environment, benefiting from learning, growth, and local and international career opportunities in a modern, diverse setting.
Mission and responsibilities:
This role provides the link between the pure commercial business needs with the analytical engines, creating the link between business areas and a team of data scientists. In particular, Data Science MLCore team is responsible for the ideation, development, maintenance and monitoring of machine learning models applied to business units (mainly Risk & Cybersecurity). It also develops methodological tools for the analysis and exploitation of information.
Within the Data Science - MLCore team we go beyond optimizing the ROC-AUC curve; we expect you to have experience applying ML algorithms and engines to solve Business problems and take data-driven decisions.
For this role you need to have at least 2 years of proven experience in an industrial environment.
- You think out of the box, you like to continuously think and propose new points of improvement for models.
- You love to learn and dig into rigorous analysis, but you are a problem solver that needs to understand the problem to solve.
- You enjoy never-faced challenges and data sources.
- You have interest in learning from other Data Science experts, using feedback to improve analysis and understanding of strategies.
- You can explain complex topics to a diverse range of audiences.
- You feel comfortable with Scikit-learn, and sometimes you complement it with your own developments / functionalities.
- You feel comfortable participating in the development of scalable solutions and productizing; however, we have a ML-Operations team that will support you in achieving technical excellence.
To be successful in the role you must have experience on:
Software development:
- You know git and feel comfortable using it, and how to develop your own code, test it and use it to produce actionable results.
- You are able to produce functional code beyond Jupyter Notebooks.
- Programming skills for data analytics. Knowledge of Python and Spark. Some experience in object-oriented programming is desirable.
- You know the basics of SQL and you are able to query essential information from multiple tables.
Statistical modelling and machine learning:
- You have some experience with supervised and unsupervised problems.
- You have experience with binary classification problems, and you know standard ML methods.
- You know the difference between a random forest and k-means and know how to implement them.
- You know how to tune their hyperparameters in order to avoid overfitting/underfitting.
- You know different model evaluation metrics, and when one is preferred versus others.
- You have worked with problems from the beginning to the end of the process.
What do we offer?
- Joining a dynamic and agile company undergoing international expansion.
- Working in start-up mode with the support of the Santander Group.
- Competitive remuneration and attractive benefits package.
- Possibility of growth within the company and the Group.
- Collaborating on international projects in different countries.
- Excellent work environment, social clubs and frequent events.
Would you like to grow with us? Join our team!
ODS is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.
We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Bank, S.A./ Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.
For further information about your rights and data protection, please read the ODS/Openbank Privacy Policy applicable to this type of data processing here.
OBTECH22
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Classification CX Data Analytics Git Industrial Jupyter Machine Learning ML models OOP Privacy Python Scikit-learn Spark SQL Statistics
Perks/benefits: Career development Startup environment Team events
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