Data Scientist

Descripción de la oferta

Role title: Data Scientist

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life[1]saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same

 

Location: Colombia

 

We are looking for a skilled Data Scientist with experience in building recommendation systems and conducting market basket analysis. You will be responsible for developing data pipelines, engineering features, training machine learning models, and deploying them into production environments. Your work will focus on improving personalized recommendations and gaining insights from customer purchasing patterns.

 

In this role you will play a key role in:

Build and optimize data pipelines to support recommendation models and market basket analysis.

Engineer features and transform data for better model performance.

Develop and train machine learning models for recommendations and association rule mining.

Perform market basket analysis to identify product affinities and enhance cross-selling opportunities. Experience in serving models in Real-Time or API serving Deploy, monitor, and maintain models in production environments.

Collaborate with MLOps and cloud teams to ensure secure and scalable solutions. Azure/Databricks experience is preferred

 

Qualifications:

Experience with recommendation systems and market basket analysis.

Strong skills in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn.

Experience with cloud platforms (preferably Azure) and MLOps practices. Proficient in data processing, model training, and deployment.

 

THIS IS WHAT YOU NEED TO KNOW ABOUT OUR JOB OFFER

 

What You'll Love About Working Here

We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At heart, our mission is one of growth. Our array of career growth programs and diverse projects ensure support in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

 

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to[1]end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner

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Capgemini Colombia S.A.S.

Durante más de 50 años, hemos sido un socio dedicado a organizaciones de todo el mundo, ayudándolas a transformar y gestionar sus negocios.

Un colectivo diverso de más de 325.000 expertos estratégicos y tecnológicos en más de 50 países, todos estamos impulsados por una pasión compartida: liberar la energía humana a través de la tecnología.

A medida que aprovechamos la nube, los datos, la IA, la conectividad, el software, la ingeniería digital y las plataformas para abordar toda la amplitud de las necesidades empresariales, esta pasión impulsa un poderoso compromiso. Desbloquear el verdadero valor de la tecnología para su negocio, nuestro planeta y la sociedad para un futuro más inclusivo y sostenible.

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Resumen de la oferta

Data Scientist

  • Colombia
  • Indefinido
  • Experiencia de 2 a 10 años
  • Universitaria
  • 0
  • ingles (
    )
  • 0 (
    )

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