Senior Data Scientist

Summary

Join OREDATA, a Digital Transformation & IT Consulting firm, and collaborate with experts on impactful digital, operational, analytical, and data science projects. We offer a collaborative, agile, and autonomous work environment. This job posting encompasses multiple roles, with a focus on designing and improving analytical models, working with time-series data, and deploying models into production. You will leverage various tools and technologies, including GCP BigQuery, Dataiku, and visualization tools like Looker and Grafana. We are seeking candidates with strong Python and SQL skills and experience in AI/ML techniques. OREDATA provides a remote-friendly work environment and various professional development opportunities.

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

Responsibilities

• Design new analytical models and improve existing models
• Work with time-series data and develop advanced forecasting models
• Implement strategies to handle imbalanced datasets (resampling, SMOTE, class weighting, etc.)
• Utilize popular boosting techniques such as XGBoost, LightGBM
• Enhance model performance using hyperparameter optimization techniques (Grid Search, Random Search, Bayesian Optimization)
• Conduct data analysis and preprocessing using SQL on large-scale datasets
• Manage and analyze data on GCP BigQuery
• Develop models, forecasting, and automate processes on the Dataiku platform
• Visualize results using BI tools such as Looker and Grafana
• Integrate AI and GenAI solutions (Copilot Studio, OpenAI Studio, etc.)
• Manage end-to-end data science projects and deploy models into production in collaboration with integration engineers

Preferred Qualifications

Exposure to Generative AI (GenAI) technologies and experience with tools such as Copilot Studio, OpenAI Studio

Benefits

• 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