Data Science Engineer

Pratt Industries; Shreveport (LA); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading paper and packaging company seeks a Data Science Engineer to lead the data science initiative across Pratt Industries. The role involves analyzing data to provide insights that enhance operational efficiency using machine learning and other data analytic techniques. The ideal candidate will have a strong analytical background and a solid educational foundation, playing a key part in the company’s commitment to sustainability and improvement.

Benefits

Medical insurance

Disability insurance

Tuition assistance

Paid maternity leave

Vision insurance

401(k)

Paid paternity leave

Qualifications

• Experience as a Data Scientist or Data Analyst preferred.
• Knowledge of machine learning methods and data analytics software.
• Excellent communication and presentation skills.

Responsibilities

• Identify valuable data sources and automate collection processes.
• Analyze large amounts of data to discover trends and patterns.
• Build predictive models and machine-learning algorithms.

Skills

Machine Learning

Data Analytics

Programming

Data Visualization

Communication Skills

Education

Post-secondary educational degree (2 to 4-year)

BS degree in Chemical Engineering or related field

Tools

Python

Seeq

Job description

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Pratt Industries is America's 5th 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.

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
• 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

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Manufacturing

• Industries

  Packaging and Containers Manufacturing and Manufacturing

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Inferred from the description for this job

Medical insurance

Disability insurance

Tuition assistance

Paid maternity leave

Vision insurance

401(k)

Paid paternity leave

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