Job description
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.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
We are looking for a Senior Data Scientist to join our team within a leading company in the manufacturing industry.
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.
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.
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
- 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
