Description

You will build predictive analytics and machine learning models to solve complex business problems and drive data-driven decision making.

Responsibilities

• Build, validate, and deploy predictive models and machine learning algorithms to predict manufacturing issues.
• Implement data and analytics pipelines to process structured and unstructured data.
• Maintain the full machine learning model lifecycle to ensure long-term accuracy and fitness for use.
• Analyze static and real-time data to discover trends, patterns, and relationships.
• Develop new Data Products within a Data Mesh architecture.

Required Skills

• Advanced programming proficiency in Python and R.
• Experience developing ETL data pipelines.
• Hands-on experience with cloud computing platforms, specifically GCP or AWS, to run pipelines and ML models.
• Extensive knowledge of ML frameworks, data structures, modeling, and software architecture.
• Deep understanding of supervised and unsupervised learning models.
• Ability to identify linear and non-linear relationships within complex datasets.
• Strong ability to communicate complex technical concepts to business stakeholders and decision makers.
• Master's degree with 2 years of relevant experience, or a PhD in Software Engineering, Statistics, Data Science, Bioinformatics, or a related field.

Key Skills

Education

Any Graduate