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Data Scientist

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Cognizant

Aug 23, 2024

Applications are closed

  • Job
    Full-time
    Junior Level
  • Software Engineering
  • Madrid
    Remote

Requirements

  • - + 2 years as Data Scientist engineer.
  • - Proven experience designing, developing and deploying complex machine learning solutions.
  • - Solid understanding of machine learning models, metrics and best practices, including both classical and deep learning algorithms.
  • - Excellent command of Python.
  • - Experience with deep learning frameworks (PyTorch, TensorFlow) is a plus.
  • - Understanding of large language models (LLMs) and generative AI, including prompt engineering, model fine-tuning and usage best practices.
  • - Experience with software engineering and understanding of software engineering best practices (Git, CI/CD, testing, documentation) is a plus.
  • - Experience with machine learning models in production using MLOps is a plus.
  • - Experience with Agile methodologies (Scrum) is a plus.
  • - Experience working in IT consulting companies is a plus.

Responsibilities

  • - Evaluate the complexity and feasibility of machine learning solutions based on the state of the art, industry standards and market trends.
  • - Design, train and deploy machine learning models to solve complex business problems using a variety of tools and technologies – from generative AI to computer vision.
  • - Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

FAQs

Is this position fully remote?

Yes, this is a remote position, but it is only available for candidates located within Spain.

What kind of projects will I be working on?

You will participate in demanding projects focused on digitalization and have the opportunity to start new projects from scratch.

What technologies will I be working with?

You will work with the latest technologies, particularly in the Salesforce ecosystem, and have opportunities to engage with machine learning and generative AI.

Is there a provision for continuous learning?

Yes, you will have access to learning platforms to help you enhance your skills and grow your expertise in various technologies.

How does the company support teamwork?

The company fosters a collaborative environment where talented teammates are always available for support, encouraging a "no task too small" attitude.

What language skills are required for this role?

Excellent English communication skills are preferred, but if you're looking to improve your skills, you will have opportunities to do so while working with international teams.

What benefits are offered?

Benefits include restaurant tickets for every working day, a permanent contract, flexible retribution for Gympass and nursery tickets, a referral program, and a discussion on salary and bonuses during the first call.

What qualifications are necessary for this position?

Candidates should have at least 2 years of experience as a Data Scientist, along with proven expertise in designing, developing, and deploying complex machine learning solutions.

Are there any preferred additional skills?

Nice to have skills include experience with deep learning frameworks, understanding of LLMs and generative AI, software engineering practices, MLOps experience, Agile methodologies, and experience in IT consulting.

What will be my main responsibilities?

Your responsibilities will include evaluating the feasibility of machine learning solutions, designing and deploying machine learning models for complex business problems, and staying informed on the latest advancements in the field.

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Cognizant

Consulting
Industry
10,001+
Employees

Mission & Purpose

Cognizant is a multinational technology company that provides a wide range of IT services and solutions to organisations worldwide. Their primary focus is on helping businesses transform and thrive in the digital age. Cognizant's mission and purpose are centred around delivering innovative and cutting-edge technology solutions that drive client success. They offer services such as digital strategy, consulting, technology implementation, and IT outsourcing, enabling companies to adapt to evolving market dynamics, enhance operational efficiency, and deliver exceptional customer experiences. Cognizant's ultimate goal is to empower their clients with the tools, insights, and capabilities needed to navigate complex technological landscapes and achieve their business objectives in an increasingly digital world.