Data Science Engineer (Shreveport, LA) | JobSetuu

Description

Job Overview

• Source: Jobicy

Job Description

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.

Expert Career Tips for Data Science Engineer (Shreveport, LA) Roles

To succeed in a competitive market as a Data Science Engineer (Shreveport, LA), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Data Science Engineer (Shreveport, LA) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

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The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

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Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

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