Data Scientist (PySpark)

Key Skills

AWS, Azure, Data science techniques, Deep Learning, Design, Google Cloud Platform (GCP), Machine learning techniques, PySpark, Python Programming, PyTorch, R Programming, Scikit-learn

Job Description

We are very lucky to work in a sector that is leading the evolution towards a sustainable and inclusive future. The technology. The catalyst for so many solutions that we need now more than ever. 

We are 300,000 PEOPLE around the world united by the same passion. 

No matter where we are, we may be at home, in the office, a thousand kilometers away from each other, but we are aware that OUR WORK COUNTS.

No matter what moment in life we ​​are in, we are DIVERSE in age, gender, ancestry, family... we have been certified in Diversity and as an ETHICAL company for more than 9 years in a row! 

It doesn't matter if your phase is one of growth, LEARNING and TRAINING at all hours or if you need to consolidate and appreciate FLEXIBILITY, CONCILIATION and fiscal and social BENEFITS to combine your personal and professional life. What matters is that you can feel that you are WHERE YOU NEED TO BE to achieve the future you want.

Every project COUNTS. Would you like to join CAPGEMINI and participate in our projects? In this case, you would start in the Retail sector, but the diversity of projects in different sectors will provide you with great versatility and also the opportunity to specialize in a specific one, if that is your wish.

As for the team, you will be able to work with diverse teams, for each project a different team is formed, from different cities, so you will have relationships with people who are beyond your workplace or your place of residence. Keep in mind that we also collaborate with other Capgemini offices worldwide... so your network of colleagues will have no limits!!

Our goal is to provide our clients with tools that help them be successful and achieve their own goals. As? Through our excellence in knowledge and methodology, our expertise and our style of collaborative relationship with clients.

What will you do in the project? What will your role be?

• Your mission will be to lead, promote and technically develop initiatives in the field of artificial intelligence with autonomy and also:

• You will create Data Science solutions in the field of Fraud Analytics for a company in the financial sector

• You will design algorithms to solve problems in the field of Data Science

• You will design, develop and deploy solutions using Machine Learning and Deep Learning models.

• You will manage and manipulate data sets: Defining and identifying learning variables, generating new sets, performing transformations and cleaning.

• You will define End-to-End Machine Learning processes.

• You will develop training processes using different types of frameworks (TF, PyTorch, Scikit-learn, etc.).

• You will develop inference processes in On-premise or Cloud environments.

• You will maintain existing Machine Learning models.

• You will lead technical project teams.

• You will mentor Junior Data Scientists or those in training.

• You will participate in technical proposals at a national and international level.

What requirements do you need?

To feel comfortable in the position it is necessary that you have a Degree in Computer Science, Mathematics, Physics or similar Engineering and can contribute

Creativity in the proposal of Data Science solutions using PySpark on productive environments

Ability to propose solutions / algorithms to solve problems in the field of Data Science

Experience in managing large volumes of data

Definition, creation, deployment and maintenance of ML and DL models on productive environments.

Knowledge of Python and/or R in the field of data science.

Databricks knowledge.

Advanced knowledge of Machine Learning frameworks (TF, PyTorch, Scikit-learn, etc.).

Advanced knowledge of cloud analytical services on AWS, GCP or Azure.

Ability to work effectively as a team.

Proactivity when building solutions and applying new functionalities related to the technology in use.

We will evaluate all applications. At Capgemini we have a very wide range of training, in-person, online, Certifications, etc. Even if you don't have 100% of the valued knowledge, we would love to meet you!

Collaboration is key in the development of new ideas, new solutions, professional and personal growth and that is why the team and a good climate are vital for us. We work and enhance our COMMUNITIES within the company.