Job Description
We are seeking a skilled Data Scientist to collaborate with our team in developing machine learning frameworks and tools.
* Developing large-scale distributed systems that are scalable, performant, efficient, and reliable.
* Collaborating with cross-functional teams to deploy and integrate machine learning models.
* Liaising with business units for their ML needs and working on the cross-BU portfolio.
* Optimizing feature extraction, transformation, and selection.
* Working with and managing feature stores for reusability across ML pipelines.
* Ensuring scalability, reliability, cost efficiency, and ease of use of the machine learning platform.
* Contributing to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities.
Required Skills and Qualifications
* 5+ years of experience as a Machine Learning Engineer.
* Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.
* Skilled in building predictive models (churn, user journey, sales forecasting) using behavioral data.
* Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
* Experienced in model training, versioning, and monitoring.
* Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores.
* Business-oriented mindset: ability to connect model outcomes to product and strategic goals.
Benefits
* Health Insurance, because health comes first.
* Flexible working hours.
* Open holidays, take the time you need for yourself.
* Profit distribution for everyone.
* Mindera Annual Trip, Sports, and sharing groups to connect and have fun.
* Training & conferences, create your own training plan.
* Child Care vouchers.
Other Good Things
* Choose Laptop & Peripherals that best suit your needs.
* Hotspot with unlimited usage (PT), for work or Netflix ;).
* A wide range of snacks to keep you fed and healthy at the offices.
* Partnerships with local businesses.
Most importantly, you get to work with a great team where everyone owns the project together in a politics-free environment. Our culture reflects our lean and self-organization attitude. We encourage colleagues to take risks, make decisions, work collaboratively, and communicate openly.
About Us
We use technology to build products we're proud of, with people we love.
Software Engineering Applications, including Web and Mobile, are at the core of what we do.
We partner with clients to understand their products and deliver high-performance, resilient, and scalable software systems that create an impact on their users and businesses worldwide.