Data Science Engineer (Shreveport, LA)

Pratt Industries • Atlanta, LA

1d

About The Position

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.

Requirements

• Experience as a Data Scientist or Data Analyst
• 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
• 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
• Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)
• 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
• 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
• 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
• 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

Nice To Haves

• Candidates are preferred who offer the following:
• BS degree in Chemical Engineering, Pulp and Paper, or other engineering disciplines related to field

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree