We're looking for the special, unique and amazing YOU!
We're looking for the special, unique, and amazing YOU!
@ KCS IT, we seek those who stand out, those who always strive to be better and fight for it.
We value individuals who share our core principles:DedicationEnergyIntegrity & TransparencyFlexibilityTrust & HonestyHard Work & ProactivityTeamworkAt KCS IT, we champion equality and embrace diversity.
We foster a safe, inclusive environment where opportunities are equal for all!
We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.All applications with relevant skills are welcome!
We are looking for an Amazing: Data scientistSeniority: Middle seniorType of position: HybridThe amazing you, will have:Technical Skills:
- Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
- Strong background in statistics, experimental design, and causal inference.
- Proven ability to develop and scale complex ML/DL models for production environments.
- Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).
- Advanced SQL expertise for large-scale data manipulation and workloads.
- Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).
- Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.
- Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.Soft Skills:
- Ability to evaluate trade-offs and articulate sound technical choices.
- Effectively translate complex technical concepts to non-technical audiences.
- Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.
- Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.
- Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.
- Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.
- Skilled at establishing and mentoring teams to uphold best practices and technical excellence.Experience:
- Degree in Mathematics, Computer Science, Machine Learning, or a related field.
- At least 5 years of professional experience in data science environments with proven success in building and architecting production-level data solutions.
- English proficiency (minimum B2 level).
Why should you become part of our family?
You can develop a career that fits you: your career development is personalized, taking in consideration your needs and goals from a short to long termInteresting Challenges Ahead: you can work for several clients from different sectors of activityFree training programs: Our training and certification programs in languages, tech, behavior and business will help you to reach your full potential fasterInternational projects in Benelux: you can gain international experience in Benelux and balance a new way of living with workType of projects (depending on the project you might find one of this types of projects):In hybrid Systems: Is important to balance work with socialization, that ´s why a hybrid system works for us and for youFull Remote projects: If you want to work while you enjoy the comfort of your homeFull Onsite projects: if you prefere the company of your colleagues!
Take care of your well-being: Enjoy our free nutrition, psicologist, general medicine appointments and our yoga and personal training days... all remote!
Who are we?
Founded in **** and based in Lisbon, KCS IT is a consulting company in the field of Information Technology and Services, focused on creating value for our clients through three main areas: Consulting, Outsourcing, Inovation and Training.
Our commitment to talent development is unmistakable in the recent opening of the Porto, Leiria and Azores hubs, which aims to develop technology for the national and international market.
Since **** we have been elected one of the 10 major companies in the "Index of Excellence", an initiative that aims to reward organizations that invest most in the development and satisfaction of their employees.