Celfocus is a European high-tech system integrator, providing professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Energy & Utilities, Financial Services and other markets' strategic opportunities.
Serving Clients in 25+ countries, Celfocus delivers solutions such as accelerating digital network transformation in Autonomous Networks, elevating and monetising business services in B2B2x ecosystems, and providing highly relevant customer experiences through Hyper-personalisation solutions.
Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there's a constant need to be innovative.
Be part of the team that combines business knowledge, technological edge and a design experience.
Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
Face challenges and learn other ways of thinking and seeing the world - there's always room for your energy and creativity.
About the role As a Senior Data Scientist, you will be responsible for collaborating closely with pre-sales teams for cross-functional end-client solutions and for designing solutions in ongoing projects.
You can also participate in projects as a specialist, ensuring proper solution delivery, monitoring, and governance using MLOps.
As a part of your job, you will: Participate in pre-sales activities related to the Data Science field.
Leverage data and domain knowledge to solve business problems and create quantifiable value.
Work cross-functionally to define problem statements, define requirements, and design suitable solutions; Lead/Support the development of data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models; Lead teams into delivering models using best MLOps practices; Communicate final recommendations and support decision-making.
What are we looking for?
Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science); Scripting with one of these languages (e.g., Python, Pyspark, Spark-mllib); Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, Dplyr, and Ggplot2; Project experience as a Data Scientist or in a role closely related to data (e.g., Analytics); Experience working with and leading teams in a project environment; Experience in delivering projects using MLOps best practices; Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others.
Personal traits: Ability to adapt to different contexts, teams and Clients Teamwork skills but also sense of autonomy Motivation for international projects and ok if travel is included Willingness to collaborate with other players Strong communication skills We want people who like to roll up their sleeves and open their minds.
Believe this is you?
Come join the Team!
