Data Scientist I (Junior)

We're in search of a skilled Data Scientist to join our Digital Manufacturing team. In this role, you'll leverage machine learning, statistical algorithms, and optimization techniques to support initiatives aimed at ensuring safe, reliable, and competitive operations of our manufacturing assets. Working closely with process, mechanical, and automation engineers, you'll solve complex problems and design predictive or prescriptive models.

Additionally, you'll collaborate with data architects and developers to build scalable data pipelines and deploy models in production environments, both on the edge and in the cloud. Ensuring timely analysis and testing for regular maintenance, you'll translate business requirements into technical prototypes and solutions and effectively communicate the design, functionality, and output of analytical models/solutions developed.

Why Join Us:

• Engage in impactful projects within a dynamic team environment.
• Access professional growth opportunities and competitive compensation.
• Contribute to a culture of innovation and excellence.

Key Responsibilities:

• Support initiatives to deliver safe, reliable, and competitive operations of manufacturing assets.
• Collaborate with process, mechanical, and automation engineers to solve complex problems using data science methodologies.
• Design and build explorative, predictive, or prescriptive models utilizing optimization, simulation, and machine learning techniques.
• Collaborate with data architects and data developers to build scalable data pipelines and deploy models from development to production environments on edge or in the cloud.
• Ensure timely analysis and testing for regular maintenance of solutions over time.
• Translate business requirements into technical prototypes and solutions.
• Communicate the design, functionality, and output of analytical models/solutions developed.

Qualifications:

• Bachelor’s or Graduate Degree in engineering, computer science, mathematics, physics, or a similar technical discipline.
• 0-5 years of experience in statistics and machine learning, including work with time series, images, and text data processing.
• Proficiency in Python and related data science libraries (Pandas, Scikit-learn, Numpy, Matplotlib, etc.).
• Experience in deploying models in a production environment, particularly using cloud platforms such as Azure Databricks.
• Experience executing projects, both working independently and as part of a cross-functional team.
• Excellent written and verbal communication skills.
• Openness to learning and a commitment to safety, actively contributing to a safe working environment.

Apply now and join us in shaping the future of the industry.

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