Data Scientist
Há 2 dias
Who are we: Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems. We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.
With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. Neotalent, the responsive people. Find out more about us at Role Overview: We are looking for a Data Scientist to join one of our largest international partners in the Consumer Services sector.
It is one of the biggest references in the area, with a significant presence in more than 6 countries.
What you will
do: You will join one of our international projects (hybrid - in Lisbon) as a Data Scientist. The main tasks for this position are: • Leveraging data and domain knowledge to solve business problems and create quantifiable value; • Working cross-functionally to define problems, collect data, create analytical models and design appropriate solutions; • Build and maintain (or lead the development of) optimisation models based on data, experiments, predictive algorithms and capacity constraint models; • Deliver models using MLOps best practices; • Communicating final recommendations and supporting decision-making. What you are like: •+3 years of practical experience as a Data Scientist • ML model development starting from CRM use-cases of Loyalty, Churn, Retention • ML model for anomaly detection in the context of Data Quality • Data preparation (with internal functional analyst support) • Model deployments and monitoring (with internal MLOps support) • Fluent in English Why join us: • Work on challenging projects for big clients • Learn more about emerging technologies • Possibility of working remotely • Design your career plan • Access to continuous training and certifications • Evolve through our internal mobility program • … and much more
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