Data Scientist

Job not on LinkedIn

🕒 August 20

🏄 California, Illinois, +1 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🤠 Texas – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Guardian Industries - DeWitt

WebsiteLinkedInAll Job Openings

- employees

🏭 Manufacturing

🏗️ Construction

Manufacturing • Construction

Guardian Industries - DeWitt is a facility or operating unit of Guardian Industries listed among Koch companies. Guardian Industries is a global manufacturer best known for producing glass and building-related products and operates multiple manufacturing sites; the DeWitt location is presented in Koch’s careers/company listings as one of the Guardian Industries locations offering roles in manufacturing, engineering, operations and related functions. As part of Koch’s portfolio, the site is positioned within a large industrial/manufacturing network and supports production, operations and career opportunities tied to Guardian’s glass and building products businesses.

📋 Description

• Own the data backbone of the Azure-based AI/ML engineering platform • Build and maintain ETL pipelines using Azure Data Factory and Azure Databricks • Structure engineering design parameters and simulation results for ML use • Perform statistical and exploratory analysis to identify design parameters driving performance outcomes • Validate model outputs against ground-truth simulation results • Flag data quality issues that could bias downstream models • Track model and pipeline performance over time • Build Power BI dashboards to provide visibility into data and model health • Apply design of experiments principles to sample the design space efficiently • Work closely with ML engineers, LLM engineers, and MLOps teams

🎯 Requirements

• Hands-on experience building and validating AI/ML models • 10+ years in a data science role, ideally with engineering, simulation, or scientific/experimental data • Strong Python, including pandas, NumPy, and scikit-learn • Strong SQL • Familiarity with Azure Data Factory, Azure Databricks, Azure Synapse, or an equivalent cloud data stack • Solid grounding in hypothesis testing, regression, design of experiments (DOE), and variance/sensitivity analysis • Experience with data visualization/dashboarding tools such as Power BI or similar

🏖️ Benefits

• Variable pay, issued as a monetary bonus or in another form • Medical insurance • Dental insurance • Vision insurance • Flexible spending accounts • Health savings accounts • Life insurance • Accidental death and dismemberment (ADD) insurance • Disability insurance • Retirement benefits • Paid vacation/time off • Educational assistance • Infertility assistance • Paid parental leave • Adoption assistance • Flexible work environment • Military Ready and Second Chance employer