Logo of Huzzle

Home

Matches

Explore

Manage

Senior Data Scientist - Machine Learning Core Team (ODS)

image

Santander

Oct 14, 2024

  • Job
    Full-time
    Junior Level
  • Data
    Software Engineering
  • Madrid
  • Quick Apply

AI generated summary

  • You need 2+ years of industrial experience, strong Python/Spark skills, knowledge of ML methods, SQL proficiency, and the ability to explain complex topics. Experience in model evaluation and tuning is essential.
  • You will bridge business needs and data science, develop ML models for Risk & Cybersecurity, innovate solutions, analyze data, and communicate findings to diverse audiences.

Requirements

  • 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.

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.
  • 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.

FAQs

What is the main focus of the Senior Data Scientist role in the Machine Learning Core Team?

The main focus is to link commercial business needs with analytical engines, specifically in the ideation, development, maintenance, and monitoring of machine learning models applied to business units like Risk & Cybersecurity.

What qualifications are required for this position?

Candidates should have at least 2 years of proven experience in an industrial environment, strong skills in software development (particularly in Python and SQL), and experience with statistical modeling and machine learning techniques.

Are there opportunities for professional growth within the company?

Yes, the company offers opportunities for growth within Open Digital Services and across the broader Santander Group.

What programming skills are necessary for this role?

Proficiency in Python and Spark is essential, along with knowledge of SQL for querying data. Experience in object-oriented programming is also desirable.

What machine learning experience is expected from candidates?

Candidates should have experience with both supervised and unsupervised machine learning problems, including binary classification, and be familiar with standard ML methods and model evaluation metrics.

Is there a specific software version control system that is preferred?

Yes, candidates should be comfortable using Git for version control in their development work.

How is the work culture at Open Digital Services?

The company promotes a dynamic and agile work environment, encouraging innovation and collaboration while supporting an international expansion strategy.

What kind of projects can I expect to work on?

The role involves collaborating on international projects, particularly focused on creating advanced digital solutions using machine learning.

Is there a focus on team collaboration in this position?

Yes, teamwork is emphasized, and candidates will have opportunities to learn from other Data Science experts and contribute to a collaborative working environment.

Are there any specific benefits associated with this role?

Yes, the role offers competitive remuneration, an attractive benefits package, and excellent work environment with social clubs and frequent events.

image

Santander

Here to help you prosper

Finance
Industry
10,001+
Employees
1857
Founded Year

Mission & Purpose

Santander is a leading global bank, founded in 1857 and headquartered in Spain, and is one of the largest banks in the world by market capitalisation. It provides a wide range of financial products and services, including personal and corporate banking, wealth management, and insurance. With a strong presence in Europe, Latin America, North America, and Asia, Santander's mission is to help people and businesses prosper by offering customer-centric solutions. Its purpose is to support growth and innovation while fostering responsible banking practices to benefit individuals, businesses, and communities.