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Statistical Process Jobs in Fishkill, NY (NOW HIRING)

CARLISLE COMPANIES

COS Improvement Engineer

Montgomery, NY · On-site

$113K/yr

Perform root cause analysis to reduce process * Utilize statistical analysis and software tools to evaluate manufacturing * Prepare written justifications for approved capital expenditures (ACEs)

onsemi

Senior Diffusion Engineer

Hopewell Junction, NY

$114 - $193K/hr

As a Furnace Engineer, you will be expected to make decisions using data analysis and statistical process control (SPC) techniques. * Provide daily process and product lot disposition support in the ...

onsemi

Diffusion Engineer

Hopewell Junction, NY · On-site

$88.70 - $142K/hr

As a Furnace Engineer, you will be expected to make decisions using data analysis and statistical process control (SPC) techniques. * Provide daily process and product lot disposition support in the ...

onsemi

Diffusion Engineer

Hopewell Junction, NY

$65.80 - $102K/hr

As a Furnace Engineer, you will be expected to make decisions using data analysis and statistical process control (SPC) techniques. * Provide daily process and product lot disposition support in the ...

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All JobsStatistical Process JobsStatistical Process Jobs in Fishkill, NY

Statistical Process information

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.

What do you mean by statistical process?

A statistical process in a job context refers to the use of statistical methods and data analysis to monitor, control, and improve manufacturing or business processes. It involves collecting data, analyzing variation, and applying tools like control charts to ensure quality and efficiency. Knowledge of statistical software and quality standards such as Six Sigma is often required for this role.

What is the difference between Statistical Process vs Data Analyst?

AspectStatistical ProcessData Analyst
Required CredentialsStatistics degree, certifications in statistical methodsStatistics, data science, or related degree
Work EnvironmentManufacturing, quality control, process improvementBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing firms, quality assurance teamsCorporations, consulting firms, research organizations
Common Search & ComparisonYesNo

Statistical Process roles focus on applying statistical methods to improve manufacturing and quality processes, often within industrial settings. Data Analysts interpret data to support business decisions across various industries. While both roles require strong statistical skills, their work environments and applications differ significantly.

What career can you do with statistics?

A career in statistics includes roles such as statistician, data analyst, data scientist, quality analyst, and research scientist. These jobs involve analyzing data, creating models, and interpreting results using tools like R, Python, or SAS, often requiring strong analytical skills and knowledge of statistical methods.

What job should I do if I like statistics?

A career as a statistical process analyst involves applying statistical methods to improve manufacturing or business processes. This role requires strong analytical skills, proficiency with statistical software, and understanding of quality control principles. Other related jobs include data analyst, data scientist, or operations analyst, which also involve working with data and statistical tools.
Statistical Process jobs near you
COS Improvement Engineer

COS Improvement Engineer

CARLISLE COMPANIES

Montgomery, NY • On-site

$113K/yr

Full-time

Posted 2 days ago

Job description

Job Summary

The COS Improvement Engineer will apply engineering and Lean Six Sigma knowledge and concepts to identify, scope, and manage projects and activities that will improve process control and overall plant efficiency. The position requires the ability to build strong working relationships and communicate effectively with plant personnel and management to effectively identify and execute the activities. Strong analytical and problem-solving skills are also required. Standard work hours Monday - Friday 8am to 5pm with occasional overtime and weekends required. Travel 20% throughout the year.

Duties and Responsibilities:
  • Apply engineering knowledge to the manufacturing processes to identify improvement
  • Perform root cause analysis to reduce process
  • Utilize statistical analysis and software tools to evaluate manufacturing
  • Prepare written justifications for approved capital expenditures (ACEs).
  • Play a key role in advancing CCM's lean journey across the
  • Facilitate events and meetings focused on manufacturing improvements and cost
  • Track and report project
  • Coordinate and manage numerous teams and projects to execute and sustain improvement
  • Identify and prioritize potential manufacturing improvement projects in responsible
  • Attend and facilitate Kaizen and other continuous improvement events throughout the
  • Work with the COS team to further drive the overall COS journey to establish a culture of continuous improvement throughout CCM.
  • Research and prepare written justifications for capital
Required Knowledge/Skills/Abilities:
  • Operational understanding of manufacturing, business software systems, business systems functions and how they inter-relate, and customer expectations.
  • Proficient understanding of fundamental Lean tools including, but not limited to, Value Stream Mapping, 5S, Mistake Proofing, TPM, MDI, Root Cause Analysis, etc.
  • Strong understanding of Six Sigma tools and approach including, but not limited to, DMAIC, Measurement System Analysis, Statistical Process Control (SPC), Process Capability, Experimental Design (DOE), etc.
  • Effective project and time management techniques
  • Working knowledge of various software systems including Microsoft Office, SAP, Minitab, Wonderware, etc.
  • Strong verbal and written communication skills, presentation skills, problem solving and analytical skills, conflict resolution, listening skills, coaching and facilitating skills.
  • Ability to identify, scope, and execute numerous improvement projects
  • Capacity to communicate complex theories in simple terms to all levels of the
  • Effectively able to articulate technical details in written

Education and Experience:
  • Required:
    • Bachelor's degree, perferbaly in Industrial, Mechanical or Chemical
    • 2+ years of experience in a lean Six Sigma enterprise or equivalent educational
    • Lean Champion Certification and Six Sigma Green/Black Belt is a
Working Conditions:
  • Office environment setting with occasional plant settings where the plants may be dirt, dusty, and hotter/colder than office settings.
  • Monday - Friday; 8:00 am - 5:00
  • Occasional overtime or weekends
Physical Requirements:

OCCASIONALLY

FREQUENTLY

CONTINUOUSLY

(0-30%)

(31-60%)

(61-100%)

LIFTING OR CARRYING

1-10 LBS

X

11-20 LBS

X

21-40 LBS

X

41-50 LBS

51 OR MORE LBS

PUSHING OR PULLING:

1-40 LBS

X

41-50 LBS

X

51 OR MORE LBS

BENDING OR STOOPING

X

REACHING ABOVE SHOULDER LEVEL

X

DRIVING AUTOMATIC EQUIP. VEHICLES

OPERATE MACHINERY OR POWER TOOLS

CLIMBING (LADDERS, STAIRS, ETC.)

WALKING

X

STANDING

X

SITTING

X

WORKING IN EXTREME TEMPERATURES

REPETATIVE MOTION INCLUDING BUT NOT LIMITED TO: WRISTS, HANDS AND/OR FINGERS)

X

VISION

X

HEARING

X

DEXTERITY

X

HAND EYE COORDINATION

X

Personal Protective Equipment (PPE) Used:

  • Eye and hearing protection is required at all times on the production
  • Safety toe shoes (steel/composite) on the production
  • Other PPE as defined by management within assigned

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