Capgemini Engineering
Data Scientist - Remote
Skills
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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