Data Science Engineer (Shreveport, LA)

Remote from
USA flag
USA
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
16 Jul 2026
Experience level
Midweight
Views / Applies
34 / 1

About Pratt Industries

World’s largest privately held producer of 100% recycled containerboard.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

This Data Science Engineer role leads the data science initiative for BRR Plus, supporting Pratt Industries and Visy. The position involves building data and machine learning products to extract business insights, automating data collection, analyzing large datasets, and developing predictive models. The role requires collaboration with engineering and production teams, as well as travel to assist other locations. Candidates need strong programming skills, proficiency in Python and ML software, and a background in engineering or data science. The job is based in Shreveport, LA, and involves both remote and onsite support.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires advanced technical skills in machine learning, data analytics, and programming, along with leadership and collaboration abilities, making it challenging but not extremely niche, hence a 4.

Salary Analysis

Median Highly Competitive
$130,000
US Market
$80k – 180k
0 $198k
AI Insight The salary for this role is not provided, but based on the US market for Data Science Engineers, the median is around $130,000. The location in Shreveport, LA may adjust slightly lower due to cost of living, but the job's seniority and required skills suggest a competitive offer within the range of $80,000 to $180,000.

Key Skills

Data Science Machine Learning Python Data Analytics Predictive Modeling Data Visualization Seeq SQL Statistical Modeling Engineering

Dear Hiring Manager,

I am writing to express my strong interest in the Data Science Engineer position at BRR Plus, as advertised. With my background in data analytics and machine learning, I am confident in my ability to lead the data science initiative and drive operational improvements for Pratt Industries and Visy.

In my previous roles, I have successfully built and deployed predictive models and automated data pipelines to extract valuable business insights. I possess expertise in Python, Seeq, and other ML tools, and I am skilled at collaborating with cross-functional teams to deliver impactful solutions.

I am particularly drawn to this opportunity because of the focus on real-world applications in industrial settings. I am eager to bring my problem-solving skills and passion for data-driven innovation to your team, and I am willing to travel to support various locations as needed.

Thank you for considering my application. I look forward to the possibility of contributing to your organization's success.

Sincerely,
Your Name

Can you describe a machine learning project you led from data collection to deployment?
In my previous role, I led a project to predict equipment failures using sensor data. I automated data collection from historians, cleaned the data, and built a random forest model. After validation, I deployed it as a REST API, which reduced downtime by 20%.
How do you handle large, unstructured datasets?
I use Python with pandas and Dask for processing, and for scalability, I leverage Spark. I also ensure thorough data profiling and cleaning to handle missing values and outliers before modeling.
Describe a time you collaborated with non-technical teams to implement a data solution.
I worked with production managers to understand their pain points. I created visualizations in Seeq to show efficiency metrics, and we iterated on dashboards until they could easily identify bottlenecks.
What experience do you have with data visualization tools?
I have extensive experience with Seeq and Tableau. For this role, I used Seeq to create real-time dashboards for process engineers, helping them monitor key KPIs and make data-driven decisions.
How do you stay current with emerging ML/AI techniques?
I regularly read research papers, take online courses, and participate in Kaggle competitions. I also apply new techniques in side projects to understand their practical benefits.

Job Title: Data Science Engineer

Position leads the data science initiative in all areas of BRR Plus’s responsibilities, including Pratt Industries and Visy, providing professional knowledge and expertise in the areas of large data analytics in support of operational improvements across all facets as designated by the Group Data Science Manager. The position will be expected to build data/machine learning products to extract valuable business insights.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES: (Other duties may be assigned)

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Leverage programming skills to develop automated systems that help improve business operations
  • Build predictive models and machine-learning algorithms
  • Present information using data visualization techniques
  • Collaborate with engineering and production teams
  • Assist all Pratt/Visy locations (via remote login, video conferencing, or onsite support), provide direction, training, and development support, roll out pre-developed tools, expedite installation of insightful data products
  • Travel as required to support development of other Pratt/Visy locations

EDUCATION and/or EXPERIENCE 

  • Experience as a Data Scientist or Data Analyst preferred
  • Understanding of machine-learning and operations research preferred or demonstrated ability and desire to learn ML/AI methods to develop the desired outcome
  • Knowledge of DCS systems, Data Historians, and Data Analytics software such as: dataParc, Seeq, Python
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Post-secondary educational degree (2 to 4-year degree from college, university, technical school, military, vocational or other advanced educational institution) REQUIRED
  • Candidates are preferred who offer the following:
    • BS degree in Chemical Engineering, Pulp and Paper, or other engineering disciplines related to field

LANGUAGE SKILLS

– Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes

– Ability to write business reports and correspondence

– Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company

– Clear, concise oral and written communication skills

MATHEMATICAL SKILLS

– Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)

REASONING ABILITY

– Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists

– Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form

TECHNICAL SKILLS

– Ability to gather information and perform detailed analysis and problem solving

– Ability to create reports for review by upper management: Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position

PHYSICAL DEMANDS

– Employee is regularly required to walk, talk, and hear

– Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms

– The employee is occasionally required to sit

– The employee must regularly lift and/or move up to 50 pounds

– Vision requirements include: close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus

WORK ENVIRONMENT

– The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job

– While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles

– The noise level in the field work environment is usually loud when working in the manufacturing plants

– The position may work remotely at times as deemed necessary by the Group Data Science Manager 

Equal Employment Opportunity/Affirmative Action Employer/Veterans/Disabled.

Qualifications

Pratt Industries is America’s 4th largest paper and packaging company with more than 10,000+ highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest.
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

How to apply

Did you apply? Let us know, and we’ll help you track your application.

See a few more

Similar Data Science & Analytics remote jobs

Job Search Safety Tips

Here are some tips to help you search and apply for jobs safely:
Watch out for suspicious jobs Don't apply for jobs that offer high pay for little work or offer to hire you without an interview. Read more ›
Check the employer's profile Make sure you're applying for a trustworthy job by visiting the employer's profile and learning more about them. Read more ›
Protect your information Don't share personal details like your bank account or government-issued ID on suspicious websites or messengers. Read more ›
Report jobs that feel unsafe If you see a job that seems misleading, inappropriate or discriminatory, report it for going against our policies and we'll review it.

Share this job

Jobicy+ Subscription

Jobicy

617 professionals pay to access exclusive and experimental features on Jobicy

Free

USD $0/month

For people just getting started

  • • Unlimited applies and searches
  • • Access on web and mobile apps
  • • Weekly job alerts and digest
  • • Access to additional tools like Bookmarks, Applications, and more

Plus

USD $8/month

Everything in Free, and:

  • • Ad-free experience
  • • Daily job alerts and digest
  • • Personal career consultant
  • • AI-powered job advice
Go to account ›