OREDATA is a Digital Transformation & IT Consulting firm with over 10 years of expertise and numerous successful projects across the EMEA region.
The company focuses on digital, operational, analytical, and data science challenges with significant impact.
The Senior Data Scientist will work closely with cross-functional teams to understand business challenges and formulate data-driven solutions.
Responsibilities include analyzing large datasets, designing and deploying advanced analytical models, and leading the data-driven decision-making process.
The role involves translating complex data analysis into actionable recommendations and managing data science projects to meet business requirements.
The candidate will also research best practices to build next-generation analytics products and services.
Requirements:
A Bachelor’s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline is required.
The candidate must have at least 7-10 years of working experience in the field of data science.
A demonstrated track record of delivering impactful, independent projects in prior roles is essential.
Manufacturing process domain expertise is considered a plus.
Advanced proficiency in SQL and Python is required.
Solid hands-on experience in machine learning and advanced modeling approaches is necessary.
In-depth knowledge of causality and statistical inference is required.
Expertise in statistical modeling and optimization techniques is essential.
Experience in time series modeling and building MLOps pipelines is a plus.
The candidate should have a strong eagerness to learn new technologies and domains, along with a can-do attitude.
A strong desire to take initiative and solve real-world problems is necessary.
The ability to communicate effectively with diverse domains is required.
Excellent verbal and written communication skills in English are essential.
There should be no restrictions on travel in and abroad.
Benefits:
The position offers remote working and flexible time off.
OREDATA promotes open communication, flexibility, and a start-up spirit.
There are learning and development opportunities for both personal and professional growth.
The company provides opportunities for company-paid professional certificates (e.g., Google Cloud Platform, Confluent Kafka).
Employees have access to online training platforms such as Udemy, Pluralsight, A Cloud Guru, and Coursera.
The work ecosystem is dynamic, allowing employees to take initiative and responsibility.
There is an opportunity to work on international projects.