OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

Apply and be part of our exciting journey!

Note: For our clients whom we provide consultancy services to, this job posting covers multiple roles, and we are hiring for more than one position

Key Responsibilities

Designing new analytical models and improving existing models
Working with time-series data and developing advanced forecasting models
Implementing strategies to handle imbalanced datasets (resampling, SMOTE, class weighting, etc.)
Utilizing popular boosting techniques such as XGBoost, LightGBM
Enhancing model performance using hyperparameter optimization techniques (Grid Search, Random Search, Bayesian Optimization)
Conducting data analysis and preprocessing using SQL on large-scale datasets
Managing and analyzing data on GCP BigQuery
Developing models, forecasting, and automating processes on the Dataiku platform
Visualizing results using BI tools such as Looker and Grafana
Integrating AI and GenAI solutions (Copilot Studio, OpenAI Studio, etc.)
Managing end-to-end data science projects and deploying models into production in collaboration with integration engineers

Requirements

Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering or equivalent practical experience
5 to 9 years of professional work experience as an AI Engineer / Data Scientist or equivalent
Strong proficiency in Python and SQL, with experience in Jupyter Lab, Airflow, Kubernetes (Openshift), and Git (BitBucket)
Deep understanding of statistical modeling, supervised and unsupervised learning techniques, feature engineering, and advanced ML techniques such as boosting methods (XGBoost, LightGBM)
Experience in working with time-series forecasting methods, including ARIMA, Prophet, and deep learning-based forecasting models
Hands-on experience with GCP BigQuery, cloud-based ML solutions, and distributed data processing
Strong understanding of Dataiku for model development, deployment, and automation
Proficiency in Looker, Grafana, or similar visualization tools to effectively communicate findings
Knowledge of hyperparameter tuning techniques, automation pipelines, and integrating ML models into production environments
Ability to break down complex business problems into structured analytical tasks and deliver data-driven solutions
Strong teamwork skills with the ability to work cross-functionally with engineering, business intelligence, and operations teams
Exposure to Generative AI (GenAI) technologies and experience with tools such as Copilot Studio, OpenAI Studio is a plus

Benefits

Why Oredata?

Remote working and flexible time off
Open communication, flexibility and start-up spirit
Learning & Development opportunities for both personal and professional growth
Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
Dynamic work ecosystem where you can take initiative and responsibility
Opportunity to work on international projects
Opportunity to support your English
Private Health Insurance
Birthday Leave Policy

Get to know us

If you want to know more about us and what we do, then visit our website: www.oredata.com