Offer summary

Qualifications:

Bachelor’s or MSc/PhD in Engineering, Data Science, or related field., 7-10 years of experience in data science with impactful project delivery., Proficiency in SQL and Python for data analysis and modeling., Experience with machine learning, statistical inference, and building MLOps pipelines..

Key responsibilities:

Collaborate with cross-functional teams to develop data-driven solutions.

Analyze large datasets to extract insights and patterns.

Design and deploy advanced analytical models for complex problems.

Lead data science projects from data preparation to implementation and monitoring.

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.

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

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