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Data Science Job Opening In WorkFromHome – Now Hiring Capgemini


Job description

Overview

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-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

Responsibilities

  • 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.

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-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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Required Skill Profession

Desarrollo De Software


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


Real-time Data Science Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Data Science roles.

18385 Jobs in Colombia
18385
16208 Jobs in Workfromhome
16208
Download Data Science Jobs Trends in Workfromhome and Colombia

Are You Looking for Data Science Job?

Great news! is currently hiring and seeking a Data Science to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Capgemini adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Science?

Key qualifications for Data Science typically include Desarrollo De Software and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Science?

To improve your chances of getting hired for Data Science, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Science Job Success

Capgemini interview tips for Data Science

Here are some tips to help you prepare for and ace your Data Science job interview:

Before the Interview:

Research: Learn about the Capgemini's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science interview at Capgemini, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Capgemini's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Science Positions

Setting up job alerts for Data Science is easy with Colombia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!