Appendix N

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NEW JERSEY DEPARTMENT OF CIVIL SERVICE

DIVISION OF CLASSIFICATION AND COMPENSATION

STATISTICAL ENGINEER I

DEFINITION

Under the direction of a Bureau Chief, Division of Research and Demonstration, Department of Transportation, supervises the performance of work involving the application of complex statistical and mathematical techniques to the solution of engineering and other problems; does related work as required.

EXAMPLES OF WORK

Acts as consultant on statistical matters related primarily to engineering applications for all Departmental units desiring this service.

Meets with various bureau heads to assess how statistical techniques can most effectively be applied to solve various engineering and other problems.

Supervises and instructs subordinates (his own and those of others) in the performance of various statistical analyses.

Is solely responsible and accountable for recommendations made by the Statistical Engineering Group. Supervision received will be broad and general, not technical.

Analyzes and prepares statistical evidence for legal proceedings such as the defense of lawsuits against the Department concerning construction specifications and the initiation of civil suits by the Department to reclaim damages for inferior construction work. Provides expert testimony, as required.

Prepares and writes statistically‑oriented engineering specifications, establishing reasonable and balanced risks to promote smooth implementation and acceptance and reduce the likelihood of subsequent litigation.

Uses computer simulation to test statistical and other engineering specifications to assure that they are both fair and effective.

Analyzes engineering tolerances required for various materials and construction specifications to assure that they are realistic from the standpoint of being obtainable, and effective from the standpoint of accomplishing the desired engineering function.

Investigates various engineering applications of statistical analysis to assure that underlying theoretical assumptions are sufficiently satisfied.

Plans statistical studies including the experimental design, type and quantity of data to be collected, and methods of analysis.

Plans correlation and calibration studies of various engineering tests and measurement techniques and develops precision statements. Makes recommendations as to which methods are superior taking both statistical and engineering factors into account.

Calculates confidence limits on various types of data and information obtained by the Department to provide a measure of its significance for decision‑making purposes. This may include environmental analysis parameters, traffic and accident data, and maintenance costs, among others,

Uses operations research (linear programming) techniques or other appropriate statistical or engineering‑economics methods to solve optimization problems such as determining where limited appropriations may most effectively be spent.

Performs hypothesis tests to determine whether a variety of experimental features in equipment or design are significantly more effective than standard methods.

Is responsible for the preparation and teaching of engineering‑oriented statistical analysis courses given by the Department.

Provides assistance as required in the development of data bases and companion software packages to extract statistical information from them.

Writes technical papers for formal presentation and publication describing unique problem‑solving approaches developed by the Statistical Engineering Group.

Exercises initiative and judgment to suggest and develop new statistical approaches to perform various engineering and other functions more effectively.

Represents the Department in statistical matters at national, regional, and state conferences.

Maintains contact with university faculty members and other professionals to keep abreast of the latest advances in engineering applications of statistical analysis.

Develops and maintains a library of statistical literature to support group activities.

Supervises work operations and/or functional programs and has responsibility for effectively recommending the hiring, firing, promoting, demoting, and/or disciplining of employees.

REQUIREMENTS

Education

Graduation from an accredited college with a Bachelor's degree in Civil Engineering. A Professional Engineer 's license issued or validated by the New Jersey Board of Professional Engineers and Land Surveyors may be substituted for the Bachelor's degree in Engineering.

Graduation from an accredited college with a Master's degree in Statistical Analysis or Applied Statistics with a minimum of six credit hours in computer programming.

A minimum of 24 credit hours in applied statistics plus six credit hours in computer programming at the graduate or undergraduate level at an accredited college may be substituted for the Master's degree.

Experience

Four years of profession experience in the various modes of transportation engineering or engineering research, at least three years of which shall have been in a supervisory capacity, and at least three years of which shall include statistical work involving design of experiments, collection and analysis of data, hypothesis testing, development of statistical acceptance procedures, computer programming, writing of technical reports, and oral presentations.

A Doctor's degree in Statistical Analysis or Applied Statistics may be substituted for two years of the required experience in a non‑supervisory capacity.

License

Appointee will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of this position.

Knowledges and Abilities

Thorough theoretical and practical knowledge of a broad range of statistical topics including probability theory, frequency distributions, sampling, confidence interval estimation, hypothesis testing, regression analysis, design of experiments, analysis of variance, contingency tables, goodness‑of‑fit tests, and non‑parametric methods.

Thorough knowledge and understanding of variables and attributes acceptance plans, with variability known or unknown, and their associated operating characteristic curves.

Thorough knowledge of basic assumptions upon which all commonly used statistical procedures are based.

Wide knowledge of advanced computer programming techniques including modular design with emphasis on efficiency and clarity.

Wide knowledge of the techniques of computer simulation.

Wide knowledge of engineering materials, methods, equipment, and procedures related to all aspects of public transportation.

Wide knowledge of standard quality control tests, procedures, and measuring devices including familiarity with laboratory equipment and testing machines.

Considerable knowledge of operations research techniques (linear programming) and computer programs for their implementation.

Considerable knowledge of engineering analysis and design procedures including probabilistic design and reliability analysis.

Considerable knowledge of and ability to apply effective management techniques.

Ability to bring a broad range of statistical, mathematical, and engineering analysis techniques to bear upon a wide variety of complex engineering problems which may include applications related to quality control, design, maintenance, safety, legal evidence and testimony, and other functions.

Ability to recognize and identify potentially serious problems which might require special effort or outside assistance.

Ability to write and validate efficient, well documented, conversational computer programs.

Ability to apply the techniques of computer simulation to a wide variety of engineering and other problems.

Ability to review and evaluate statistical and engineering publications for possible applications to Departmental problems.

Ability to make effective oral presentations in order to conduct seminars, teach statistics courses, provide expert testimony, and when necessary, explain complex statistical techniques in layman's terms.

Ability to plan and assign work for subordinate employees and to supervise and instruct them in the performance of their work.

Ability to stimulate and guide the creative energies of subordinates.

Ability to work harmoniously and in cooperation with all units of the Department of Transportation.

Ability to function independently with a minimum of supervision.

Ability to read, write, speak, understand, and communicate in English sufficiently to perform the essential functions of the job after reasonable accommodation is made for known limitations. If the accommodation cannot be made because it would cause the employer undue hardship, such persons may not be eligible.

NEW JERSEY DEPARTMENT OF CIVIL SERVICE

DIVISION OF CLASSIFICATION AND COMPENSATION

STATISTICAL ENGINEER II

DEFINITION

Under the direction of a Statistical Engineer I, or other supervisor, in the Division of Research and Demonstration, Department of Transportation, supervises and /or applies the more complex statistical and mathematical techniques to the solution of engineering and other problems; does related work as required.

EXAMPLES OF WORK

Under direction, independently carries out assignments in applying the more complex statistical and mathematical techniques such as hypothesis testing, determination of confidence limits, regression analysis, analysis of variance, goodness‑of‑fit tests, use of contingency tables, non‑parametric tests, and others necessary to complete assigned tasks; gives professional guidance to subordinate employees.

Analyzes engineering tolerances required for various materials and construction specifications to assure that they are realistic from the standpoint of being obtainable, and effective from the standpoint of accomplishing the desired engineering function.

Prepares and writes statistically‑oriented engineering specifications, establishing reasonable and balanced risks to promote smooth implementation and acceptance and reduce the likelihood of subsequent litigation.

Investigates various engineering applications of statistical analysis to assure that underlying theoretical assumptions are sufficiently satisfied.

Plans correlation and calibration studies of various engineering tests and measurement techniques and develops precision statements. Makes recommendations as to which methods are superior taking both statistical and engineering factors into account.

Under direction, writes the more complex special computer programs to develop and test the more advanced engineering applications of statistical analysis including the use of computer simulation and the writing of conversational programs; supervises the writing of the less complex computer programs.

Under direction, designs the more complex research experiments which include advising others concerning the types and quantity of data required and the methods of analysis to be used.

Prepares clear, well written, technically sound reports describing the engineering and statistical principles employed in various analyses.

Assigns, instructs, and supervises the work of others related to data collection and statistical computations.

Reviews, analyzes, and interprets engineering and statistical data and reports.

Keeps current with new developments and latest trends of thought in engineering applications of statistical analysis. Attends and assists in educational seminars and conferences.

Confers with staff members from other divisions of the Department to assess statistical needs and give guidance as to what techniques can most effectively be employed to solve various engineering and other problems.

Supervises work operations and/or functional programs and has responsibility for effectively recommending the hiring, firing, promoting, demoting, and/or disciplining of employees.

Under direction, prepares and teaches engineering‑oriented statistical analysis courses given by the Department.

Maintains essential records and files of techniques and procedures used for various assignments.

REQUIREMENTS

Education

Graduation from an accredited college with a Bachelor's degree in Civil Engineering supplemented by a minimum of 18 credit hours in Applied Statistics at the graduate or undergraduate level at an accredited college plus 6 credit hours in Computer Programming.

A Professional Engineer's license issued or validated by the New Jersey Board of Professional Engineers and Land Surveyors may be substituted for the Bachelor's degree in Engineering.

Experience

Three years of professional experience in the various modes of transportation engineering or engineering research, or in engineering statistical work involving the collection and analysis of data, hypothesis testing, computer programming, and technical report writing.

A Master's degree in Statistical Analysis or Applied Statistics may be substituted for one year of the non‑supervisory experience requirement.

A Doctor's degree in Statistical Analysis or Applied Statistics may be substituted for two years of the indicated experience in a non‑supervisory capacity.

License

Appointee will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of this position.

Knowledges and Abilities

Wide knowledge of a broad range of statistical topics including probability theory, frequency distributions, sampling, confidence interval estimation, hypothesis testing, regression analysis, design of experiments, analysis of variance, contingency tables, goodness‑of‑fit tests, and non‑parametric methods.

Wide knowledge of statistical principles to be able to develop original and creative ways to deal with a variety of engineering and other problems.

Wide knowledge of basic theoretical assumptions upon which the more commonly used statistical procedures are based.

Wide knowledge of computer programming including familiarity with computer simulation techniques.

Wide knowledge of engineering materials, methods, equipment, and procedures related to all aspects of public transportation.

Wide knowledge of standard quality control tests, procedures, and measuring devices including familiarity with laboratory equipment and testing machines.

Wide knowledge of statistical acceptance plans.

Basic knowledge of engineering analysis and design procedures including probabilistic design and reliability analysis.

Basic knowledge of the techniques of operations research (linear programming) and computer programs for their implementation.

Ability to recognize the applicability of statistical, engineering, and scientific concepts to the solution of transportation problems.

Ability to distinguish between statistical significance and practical significance from an engineering standpoint.

Ability to communicate clearly and effectively, both in written reports and in oral presentations.

Ability to plan and organize work in a logical and efficient manner.

Ability to review and evaluate statistical and engineering publications for possible application to Department problems.

Ability to apply the techniques of engineering‑economics to make cost‑benefit studies.

Ability to present the results of studies in a clear and concise manner using graphical or tabular techniques as appropriate.

Ability to give appropriate assignments and instructions to subordinate employees and supervise the performance of their work.

Ability to read, write, speak, understand, and communicate in English sufficiently to perform the duties of this position. American Sign Language or braille may also be considered as acceptable forms of communication.

Persons with mental or physical disabilities are eligible as long as they can perform the essential functions of the job after reasonable accommodation is made for known limitations. If the accommodation cannot be made because it would cause the employer undue hardship, such persons may not be eligible.

NEW JERSEY DEPARTMENT OF CIVIL SERVICE

DIVISION OF CLASSIFICATION AND COMPENSATION

STATISTICAL ENGINEER III

DEFINITION

Under the direction of a Statistical Engineer II, or other supervisor, in the Division of Research and Demonstration, Department of Transportation, applies complex statistical and mathematical techniques to the solution of engineering and other problems; does related work as required.

EXAMPLES OF WORK

Under direction, independently applies the appropriate statistical and mathematical techniques such as hypothesis testing, determination of confidence limits, regression analysis, analysis of variance, goodness-of-fit tests, use of contingency tables, non-parametric tests, and others necessary to complete assigned tasks.

Under direction, analyzes engineering tolerances required for various materials and construction specifications to assure that they are realistic from a standpoint of being obtainable, and effective from the standpoint of accomplishing the desired engineering function.

Under direction, prepares and writes statistically-oriented engineering specifications, establishing reasonable and balanced risks to promote smooth implementation and acceptance and reduce the likelihood of subsequent litigation.

Under direction, investigates various engineering applications of statistical analysis to assure that underlying theoretical assumptions are sufficiently satisfied.

Under direction, plans correlation and calibration studies of various engineering tests and measurement techniques and develops precision statements. Makes recommendations as to which methods are superior taking both statistical and engineering factors into account.

Under direction, writes special computer programs to develop and test various engineering applications of statistical analysis including the use of computer simulation and the writing of conversational programs.

Under direction, designs research experiments which include advising others concerning the type and quantity of data required and the methods of analysis to be used.

Prepares clear, well-written, technically sound reports describing the engineering and statistical principles employed in various analyses.

Assigns, instructs, and supervises the work of others related to data collection and statistical computations.

Reviews, analyzes, and interprets engineering and statistical data and reports.

Keeps current with new developments and latest trends of thought in engineering applications of statistical analysis. Attends and assists in educational seminars and conferences.

Assists in the preparation and teaching of engineering-oriented statistical analysis courses given by the Department.

Maintains essential records and files of techniques and procedures used for various assignments.

REQUIREMENTS

Education

Graduation from an accredited college with a Bachelor=s degree in Civil Engineering.

A Professional Engineer=s license issued or validated by the New Jersey Board of Professional Engineers and Land Surveyors may be substituted for the Bachelor=s degree in engineering.

A minimum of 12 credit hours in applied statistics at the graduate or undergraduate level at an accredited college plus 6 credit hours in Computer Programming.

Experience

Two years of professional experience in the various modes of transportation engineering or engineering research, or in engineering statistical work involving the collection and analysis of data, hypothesis testing, computer programming, and technical report writing.

A Master=s degree in statistical analysis or applied statistics may be substituted for one year of the required experience.

A Doctor=s degree in statistical analysis or applied statistics may be substituted for two years of the indicated experience in a non-supervisory capacity.

License

Appointee will be required to possess a driver=s license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position.

Knowledges and Abilities

Wide knowledge of a broad range of statistical topics including probability theory, frequency distributions, sampling, confidence interval estimation, hypothesis testing, regression analysis, design of experiments, analysis of variance, contingency tables, goodness-of-fit tests, and non-parametric methods.

Considerable knowledge of statistical principles to be able to develop original and creative ways to deal with a variety of engineering and other problems.

Considerable knowledge of basic theoretical assumptions upon which the more commonly used statistical procedures are based.

Considerable knowledge of computer programming.

Basic knowledge of engineering analysis and design procedures including probabilistic design and reliability analysis.

Basic knowledge of standard quality control tests, procedures, and measuring devices including familiarity with laboratory equipment and testing machines.

Basic knowledge of engineering materials, methods, equipment, and procedures related to public transportation.

Basic knowledge of statistical acceptance plans.

Ability to recognize the applicability of statistical, engineering, and scientific data to the solution of transportation problems.

Ability to distinguish between statistical significance and practical significance from an engineering standpoint.

Ability to communicate clearly and effectively, both in written reports and in oral presentations.

Ability to plan and organize work in a logical and efficient manner.

Ability to review and evaluate statistical and engineering publications for possible application to Department problems.

Ability to apply the techniques of engineering-economics to make cost-benefit studies.

Ability to present the results of studies in a clear and concise manner using graphical or tabular techniques as appropriate.

Ability to maintain essential records and files of techniques and procedures used fo various assignments.

Ability to read, write, speak, understand, or communicate in English sufficiently to perform the duties of this position. American Sign Language or Braille may also be considered as acceptable forms of communication.

Persons with mental or physical disabilities are eligible as long as they can perform the essential functions of the job after reasonable accommodation is made to their known limitations. If the accommodation cannot be made because it would cause the employer undue hardship, such persons may not be eligible.