SUMMARY-

Position leads the data science initiative in all areas of the manufacturing facility and the mill campus; provides professional knowledge and expertise in the areas of large data analytics in support of operations improvement in all facets as designated by the Data Science Manager. The position will be expected to build data 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 other mills (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 mill 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 is frequently exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles

The noise level in the work environment is usually loud

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

Requirements:

Come join our growing team!

Pratt Industries

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