Data Science Engineer at Pratt Industries

Wapakoneta, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Data Visualization, Programming, Problem Solving, Communication, Statistical Analysis, Collaboration, Automation, Predictive Modeling, Technical Writing, Data Preprocessing, DCS Systems, Data Historians, Python, Microsoft Office

Industry

Packaging and Containers Manufacturing

Description

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 [https://resources.workable.com/data-analyst-job-description] 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 Qualifications Come join our growing team!

Responsibilities

The Data Science Engineer leads data science initiatives in the manufacturing facility, focusing on large data analytics to improve operations. They are responsible for building data products that extract valuable business insights.