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Data Scientist - Remote

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Remote

Data Scientist - Remote

Capgemini Engineering

Data Scientist - Remote

Skills

Data ScienceTesting & QAData AnalysisMachine LearningAWS

11 days ago

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Important information


Contract type:

Permanent

Location:

Romania

Work mode:

Remote

Published on:

9 October 2026

What they need


DATA SCIENTIST – REMOTE

Our customer is a global management consulting firm. Its clients are leading organization in public, private and social sectors all over the world. We are seeking a Data Scientist for project that pertains to the marketing and sales area. The goal of the project is analyzing, prediction and optimization of revenue growth management.

Your role:

  • Help to drive the analytical scope and method for projects, including formulating and shaping the models;
  • Use Math's, Stats and Machine learning to derive key insights across various industry sectors;
  • Write highly optimized code, compliant with customer’s standards;
  • Collaborate with software engineering team in terms of integrating analytics code to the main solution;
  • Develop world-class data science products for clients;
  • Work on complex data sets from some of the world’s largest organizations;
  • Work in a multi-disciplinary environment mixing highly skilled people in data science, software engineering and quality assurance;
  • Bring an exceptional academic background in a technical field combined with experience in developing and applying data science methods in a commercial context;
  • Share company's curiosity for new methods and technologies, and enthusiasm for data science challenges;
  • Communicate complex analytics concepts in a clear and concise manner to business leaders.

Your profile:

Technical Leadership & Cloud Architecture

  • Proven experience leading enterprise-scale software delivery and solution architecture.
  • Strong cloud platform expertise (AWS preferred) with responsibility for technical strategy, engineering standards, DevOps practices, and operational excellence.

· Full Stack Integration & Data Architecture

  • Deep knowledge of APIs, application and data integration, cloud-native design patterns, and data services.
  • Experience delivering interoperable solutions across platforms, products, and enterprise data ecosystems.

· Enterprise Delivery & Stakeholder Leadership

  • Demonstrated ability to lead complex cross-functional teams, manage vendors and strategic partners, and coordinate delivery across multiple products and business functions.
  • Strong Agile delivery experience with ownership of dependencies, risks, and release execution.

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