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NESC Staffing
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Data Scientist

NESC Staffing · Camden, AR

Actively hiring Posted 5 months ago

Role overview

We are seeking a highly experienced
Data Scientist
to support the Manufacturing (MFG) Engineering organization through advanced data analytics, visualization, and automation. While previously classified under a Manufacturing Engineer title, this role is
data-centric
and focused on
Power BI dashboard development, Power Applications, and data mining
within a manufacturing environment.

The successful candidate will work closely with the Manufacturing team to design, develop, and deploy data-driven solutions that improve visibility, automation, and decision-making. This role requires deep, hands-on expertise in
Power BI (not just familiarity), Power Apps development, data integration, and performance metric creation
, with the ability to translate complex data into actionable insights that optimize manufacturing processes.

Responsibilities

  • Design, develop, deploy, and maintain advanced Power BI dashboards that provide actionable manufacturing insights.
  • Perform data mining and establish robust data relationships within Power BI to support automation and data integration efforts.
  • Design, develop, and deploy Power Applications to streamline and automate manufacturing and operational workflows.
  • Create and maintain performance metrics and KPIs supporting manufacturing efficiency, quality, and productivity.
  • Collaborate with Manufacturing Engineering and cross-functional teams to identify analytics needs and deliver effective data solutions.
  • Support automation and integration initiatives through structured data modeling and Power BI relationships.
  • Apply statistical process control (SPC) methods to monitor, analyze, and improve manufacturing processes.
  • Develop and maintain detailed documentation for data analytics processes, tools, dashboards, and best practices.
  • Mentor and guide junior engineers and analysts in data analytics techniques, Power BI, and Power Applications.
  • Communicate data findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
  • Lead complex analytics initiatives independently with minimal supervision.

Basic qualifications

  • Bachelor’s degree in Mechanical Engineering, Software Engineering, Electrical Engineering, Computer Science , or a related field.
  • Minimum of 9 years of experience in manufacturing, data analytics, or related engineering roles.
  • Proven, hands-on experience creating Power BI dashboards (must demonstrate more than general familiarity).
  • Demonstrated expertise in designing and deploying Power Applications .
  • Strong experience in data mining and establishing relationships within Power BI for automation and integration purposes.
  • Extensive experience with Statistical Process Control (SPC) methodologies.
  • Solid understanding of database management concepts.
  • Experience working with Snowflake .
  • Proficiency in MS Office tools (Excel, PowerPoint, Word).
  • Strong analytical, problem-solving, and decision-making skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and lead high-impact projects.
  • Proven experience mentoring and guiding junior engineers or analysts.
  • U.S. Citizenship required (no dual citizenship).

Preferred qualifications

  • Advanced degree in Engineering or Computer Science.
  • Experience with additional data visualization and analytics tools such as:
  • Minitab
  • JMP
  • Induction Automation
  • Familiarity with Lean Manufacturing and Six Sigma methodologies.

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