Data scientist

Guadalajara, JAL, MX

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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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-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.

 

 

YOUR ROLE

  • Analyze large and complex datasets (>1 billion records) to extract meaningful insights and inform business decisions.
  • Develop and maintain data pipelines using tools like Spark, Presto, or Athena to ensure data quality and accessibility.
  • Use SQL and Python to query, manipulate, and analyze data efficiently.
  • Collaborate with cross-functional teams to identify data-driven opportunities and solutions.
  • Present findings and recommendations through compelling storytelling, leveraging clear communication and visualization techniques.
  • Design and conduct experiments or analyses to address specific business challenges.
  • Stay updated with industry trends and best practices in data science and analytics.

 

 

YOUR PROFILE

  • Minimum 2 years of professional experience analyzing data for business problems.
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Hands-on experience with tools like Spark, Presto, or Athena to handle large datasets effectively.
  • Strong written and verbal communication skills, with the ability to translate complex data into actionable insights.
  • Demonstrated ability to tell a story with data, making complex ideas accessible to diverse audiences.

 

 

WHAT YOU´LL LOVE ABOUT WORKING HERE

  • At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
  • Well-Being Hub supports our people worldwide. It means we can grow different aspects of our well-being, manage our work-life balance, respect work hours, and grow our networks.
  • The great thing about working at Capgemini Engineering is that we can just be ourselves. We can work in our own way, bringing our unique skills and perspectives, and inspiring and taking inspiration from our teammates.
  • Working at Capgemini Engineering, it’s not just the can-do spirit and the teamwork that we find inspiring. It’s the flexibility, at an individual level.
  • We’re able to work in our own way and find a balance that works for us. It’s so exhilarating.

 

 

 

 

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Athena Data pipelines Data quality Engineering Pipelines Python R R&D Spark SQL

Region: North America
Country: Mexico

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