Data Science Engineer (Shreveport, LA) at Pratt Industries
Atlanta, GA
—
Jul 26, 2026
Atlanta, GA
Jul 28, 2026
What this job asks for AI summary
A data science engineering role supporting manufacturing operations across Pratt Industries and Visy facilities, focused on building machine learning models, predictive analytics, and automated data pipelines to drive operational improvements. The position involves hands-on work with industrial data systems (historians, DCS), data visualization, and cross-site deployment of analytics tools, with travel to plant locations required.
Mid level · Bachelor's required
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location is specified in the posting. The role supports Pratt Industries and Visy locations across multiple sites with travel required; the primary base is not stated.
The posting requires a post-secondary degree (2–4 year) as a hard gate, but frames a BS in Chemical Engineering, Pulp & Paper, or related engineering as preferred — the degree requirement is set to Bachelors as the minimum hard-required level.
Python, ML/AI, DCS systems, Data Historians, and dataParc appear under a knowledge/preferred section rather than a firm requirements gate, so they are marked preferred.
Seeq is listed both in the knowledge section alongside dataParc and Python, and again in the Technical Skills section as a required proficiency — it is treated as a hard gate based on the Technical Skills listing.
The role title is 'Data Science Engineer' with a mix of ML/modeling work (15-2051) and operational/process analytics (15-2031); 15-2051 was chosen as primary given the explicit emphasis on building ML products and predictive models.
The position 'may work remotely at times as deemed necessary' but is primarily an onsite/travel role supporting manufacturing plants — remote is set to false.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.