Senior Data Scientist - Remote

Overview

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.

In Short

• Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly.
• Analyze large datasets to extract meaningful patterns, valuable insights and inferences.
• Design, develop and deploy advanced analytical models to solve complex problems.
• Employ scientific approach for conducting experimental design and rapid prototyping.
• Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results.
• Iteratively improve the solutions to meet the highest-class standards and productionize.
• Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences.
• Manage data science projects, ensuring they meet business requirements and are delivered on time.
• Research the best practices to build the next generation analytics products and services.

Requirements

• Bachelor’s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline.
• At least 7-10 years of working experience in the field of data science.
• Demonstrated track record of delivering impactful, independent projects in prior roles.
• Manufacturing process domain expertise is a plus.
• Advanced proficiency in SQL and Python.
• Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data.
• In-depth knowledge of causality and statistical inference.
• Expertise in statistical modeling and optimization techniques.
• Experience in time series modeling is a plus.
• Experience in building MLOps pipelines is a plus.
• Eagerness to learn new technologies and domains, a can-do attitude.
• Having strong desire to take initiative and solve real world problems.
• Multi-disciplinary and cooperative ability to communicate effectively with diverse domains.
• Excellent verbal and written communication skills in English.
• No restrictions to travel in and abroad.

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
• Private Health Insurance
• Birthday Leave Policy