Distributed Cloud | Google Data Scientist
Lisbon, Portugal
Devoteam
Guiding IT Transformations with creative tech solutions in AI, Cloud, Cybersecurity & Sustainability. A trusted partner to 2500+ companies.Company Description
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €652M. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 18 EMEA countries. Become one of our +8.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
Job Description
We're seeking an experienced Data Scientist with a proven track record in advanced analytics, particularly customer lifecycle analysis and clustering techniques. You will leverage your expertise to drive data-driven decision-making, optimise customer journeys, and uncover valuable insights that directly impact business growth. As a key member of our AI team, you'll collaborate closely with product and engineering teams to develop and deploy innovative AI solutions.
Responsibilities:
Customer Lifecycle Analysis: Conduct in-depth analysis of customer behaviour throughout their lifecycle, identifying key touchpoints and opportunities for engagement.
Clustering & Segmentation: Develop and implement sophisticated clustering models to segment customers based on various attributes and behaviours.
Predictive Modelling: Build predictive models to forecast customer churn, lifetime value, and other critical metrics.
AI Product Development: Collaborate on the design and implementation of AI-powered products and features that enhance the customer experience and drive business value.
Communication: Clearly communicate findings and insights to both technical and non-technical stakeholders, using data visualisation and storytelling techniques.
Qualifications
- Education: Graduate degree in a quantitative field (Statistics, Computer Science, Mathematics, Operations Research, etc.). Applicants with a different background who have a proven track record within Data & AI will also be considered.
Experience:
4+ years of hands-on experience as a Data Scientist, Data Engineer or Data Analyst, with a strong focus on customer analytics.
Proven ability to apply advanced analytics techniques (e.g., clustering, segmentation, predictive modelling) to real-world problems.
Previous contact with data manipulation, ETL processes, and data warehouse design is a plus.
Technical Skills:
Proficient in Python, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn, etc.).
Proficient with SQL.
Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
Knowledge of AI product development and deployment is a significant advantage.
Soft Skills:
Proficiency in English (mandatory).
Ability to collaborate effectively with cross-functional teams.
Strong problem-solving and analytical skills.
Additional Information
The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Clustering Computer Science CX Data warehouse Engineering ETL GCP Mathematics NumPy Pandas Python Research Scikit-learn Security SQL Statistics
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