Senior Data Scientist

Summary

Join OREDATA, a Digital Transformation & IT Consulting firm, as a Senior Data Scientist and collaborate with experts on impactful digital, operational, analytical, and data science challenges. You will work within a leading manufacturing company, contributing to data-driven solutions. This role demands strong analytical and communication skills, along with experience in machine learning and statistical modeling. OREDATA fosters a collaborative, agile, and autonomous work environment. The position offers remote work, flexible time off, and professional development opportunities.

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
• 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
• 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

Responsibilities

• 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

Preferred Qualifications

• Manufacturing process domain expertise is a plus
• Experience in time series modeling is a plus
• Experience in building MLOps pipelines is a plus

Benefits

• Remote working and flexible time off
• 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.)
• Private Health Insurance
• Birthday Leave Policy