Role OverviewWe are a Digital Product Engineering company looking for a Data Scientist to join our team. The role involves working on a scale across all devices and digital mediums, and requires proficiency in industrial protocols, data engineering, and statistical methods. The ideal candidate will have experience in manufacturing, data engineering, and strong communication skills.
What You Will Do
The Data Scientist will be responsible for building scalable cloud data pipelines, designing A/B experiments, and translating complex model outputs into actionable recommendations for operations and executive stakeholders. The role also involves experience in statistical methods, time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.
Why It Might Be a Fit
The ideal candidate will have a proven track record in building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Strong SQL and Python proficiency, as well as experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure, are also required.
Requirements
- Minimum 6 years of experience as Data Scientist
- Strong SQL and Python proficiency
- Hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure
- Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis
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