Mathematical Technician Job Description Sample

Job ID
30000948

Favorite Job

Full/Part Time

Full-Time

Regular/Temporary

Regular

Responsibilities

NSA Overview

The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information.

At NSA, mathematics and statistics are core disciplines and are present in every aspect of the mission.

Mathematical Statisticians bring a wealth of expertise including, but not limited to, regression, machine learning, exploratory data analysis, stochastic processes, and statistical modeling and forecasting. They work on some of the hardest problems associated with signals intelligence (the interception, collection, and analysis of foreign signals) and cybersecurity (assuring confidentiality, integrity, and availability of information).

Mathematical Statisticians have the opportunity to learn and experiment in areas far from their academic training. These opportunities and core mission needs help make NSA the largest employer of mathematicians in the country.

Description of Position

NSA is actively seeking mathematical statisticians to join a vibrant community of mathematicians, statisticians, physicists, computer scientists, and other intelligence professionals.

Newly-hired mathematical statisticians begin their careers in the Mathematics Development Program (MDP). The goal of the three-year MDP is to train mathematical statisticians to be broadly knowledgeable in the spectrum of mathematical sciences used at NSA. To accomplish this goal, MDP members study cryptologic mathematics and related subjects in Agency taught classes and complete 6-month tours in diverse NSA offices. Graduates of the MDP may choose their first permanent assignments from any of the NSA Directorates, depending on availability.

The Agency is unique in its ability to offer the opportunity to work in diverse areas of Applied Statistics. In addition to cryptologic mathematics, statisticians work in:

• Signals analysis

• Data compression

• Machine learning

• Data science

• Human language technology

• Speech/image/video processing

• Analysis of communication networks

• Network vulnerability analysis

• Cybersecurity

Additionally, computing is an essential component of the mathematical sciences at NSA and statisticians must use a variety of computing platforms to test ideas and implement solutions. While there is no specific requirement for any previous programming or computing experience, a mathematical statistician must be willing to learn to use computers effectively.

Skills

Candidates should possess:

• Strong problem-solving and analytical abilities

• Desire for continual learning

• Ability to work effectively independently and within teams across functional areas

Knowledge and experience in one or more of the following is desired, but not required:

• Programming expertise

• Experience in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems

Qualifications

Salary Range: $69,545 - $86,659 (Entry/Developmental)

• The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Entry is with a Bachelor's degree and no experience. Degree in Mathematics, Physics, or Computer Science is preferred. Degree must include 2 years (which equates to approximately 24 credit hours) of advanced mathematics.

Experience in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems is desired.

Salary Range: $80,445 - $107,140 (Full Performance)

• The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience.

Degree in Mathematics, Physics, or Computer Science is preferred. Degree must include 2 years (which equates to approximately 24 credit hours) of advanced mathematics.

Relevant experience must be in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems.

Pay, Benefits, & Work Schedule

This is a full-time position, Monday through Friday.

How To Apply - External

To apply for this position, please click the 'Apply Now' button located at the top or bottom of this page. After completing the application and clicking the 'Submit Final' button, you will receive a confirmation email. Emails regarding your application status will be sent periodically. Please ensure your spam filters are configured to accept emails from noreply@nsa.gov.

In addition to an online application at www.intelligencecareers.gov, the following must be completed:

• Submission of a resume or CV to mathjobs@nsa.gov

• Submission of all college transcripts (including community college, if applicable) sent to mathjobs@nsa.gov.

Note: Transcripts can be unofficial or official.

Applications will not be fully considered until all of the documents are received.

If needed, the mailing address for official correspondence for the Mathematical Statistician application is:

National Security Agency
9800 Savage Road

Suite 6844

Ft. George G. Meade, MD 20755-6844

Attn: Math Hiring

• PLEASE NOTE:

U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.

This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.

Please note that you may or may not be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing.

Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible.

DCIPS Disclaimer

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority.

Mathematics & Computer Science: Director of Mathematical Studies - 000262

The Department of Mathematics and Computer Science and the Integrated and Inclusive Science Program at the University of Richmond invites applications for the position of Director of Mathematical Studies, beginning July 2019. This position is a non-tenure-track continuing position that includes both academic year and summer duties.

The candidate should have a Ph.D. in mathematics or related area and experience in undergraduate teaching. We are particularly interested in candidates who demonstrate a commitment to and experience in evidence-based and inclusive pedagogy.

The Director is expected to teach a total of 6 courses during the academic year. Summer duties include mentoring in and co-directorship of the University of Richmond Integrated Science Experience (URISE). Regular academic year duties will include teaching the mathematics portion of either the Science, Math, and Research Training (SMART) integrated first-year learning community or our Integrated Quantitative Science (IQS) course as part of the 6-course load. Additionally, the Director will be expected to help pilot new inquiry-based activities for SMART and/or IQS, develop and teach other Mathematics courses, and maintain engagement in professional activities that advance teaching goals (e.g. pedagogical workshops, scholarship of teaching and learning). For URISE, the Director will work with the Director of Biological Instruction to recruit, coordinate, and mentor students in the program as well as being jointly responsible for ongoing assessment and improvement of the program. In addition to teaching-related duties, academic advising and service on department and/or university committees are expected.

Applicants should click "Apply Now" at the top of the page and upload a single pdf file containing: (1) a letter of application for the position, (2) a curriculum vitae, and (3) a teaching statement. The teaching statement should articulate the candidate's teaching philosophy and future professional development goals and should reflect on past teaching/mentoring experiences and training/experience in implementing inclusive pedagogies.

Additionally, the statement should include how the candidate will contribute to the stated goal of the School of Arts & Sciences: "to provide a learning environment in which all are free and able to express their full selves and to be a community of learners who are attentive to thriving, inclusion, and social justice." Applicants will be asked to provide the names of three references who will receive an email asking them to submit letters of recommendation electronically. Review of applications will begin November 1 and continue until the position is filled.

The School of Arts & Sciences, the liberal arts core of the University, is a thriving and inclusive community of 230 faculty, twenty-two departments and ten interdisciplinary programs. We offer distinctive and engaging learning opportunities to students and outstanding resources to support the scholarly, creative, and pedagogical activities of the faculty. For information about the foundations, goals, and initiatives of the School of Arts & Sciences, see the Concept 30 Strategic Plan at https://as.richmond.edu/concept30/index.html .

The University of Richmond is a private, highly selective, predominantly liberal arts institution. The University is committed to developing a diverse workforce and student body, and to modeling an inclusive campus community that values the expression of difference in ways that promote excellence in teaching, learning, personal development, and institutional success. Our academic community strongly encourages applications that are in keeping with this commitment.

For more information on the department and resources, see https://math.richmond.edu . For more information on our Integrated and Inclusive Science Program, see https://inclusivescience.richmond.edu .

Instructor in Mathematical Sciences (Full-time Faculty)

Full-time Faculty Positions

Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.

Part-time Faculty Opportunities

DePaul University invites expressions of interest for a pool of qualified Part Time Faculty to teach courses in a variety of disciplines across all 10 colleges and schools. Individuals may enter expressions of interest by submitting their credentials to any posting for which they are qualified to teach. Postings are organized by college/school and department. Screening of individuals in the pool is ongoing, depending on curricular need and funding. Individuals will be contacted by the department if they reach the finalist stage for teaching a particular course or set of courses. The pool will remain in place until the closing date specified in the posting details; those interested in remaining in the pool beyond that time must resubmit. All individuals in the pool will be notified by email when the posting is closed.

EEO/AA STATEMENT

DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, marital status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws. A copy of DePaul University's Safety and Security Information Report and Fire Safety Report is available upon request. The report includes statistics about crimes that occurred on campus and public property immediately adjacent to campus. The report includes institutional policies concerning campus security, sexual assault and other matters. It also includes fire statistics, fire safety practices and standards of the institution. A copy of this report can be obtained by contacting the Crime Prevention Office at 773-325-7775 or by visiting the DePaul Public Safety website at http://publicsafety.depaul.edu.

Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the Apply for this Job link/button.

If you would like to bookmark this posting for later review, click on the Bookmark link. If you would like to print a copy of this posting for your records, click on the Print Preview link.

Bookmark this Posting | Print Preview | Apply for this Job/Submit Expression of Interest

Posting Details

Classification Information

Rank Instructor Tenure Status

Position / Posting Information

Academic Year 2018-2019 Responsibilities

The Department of Mathematical Sciences at DePaul University invites applications for one full-time non-tenure track position starting January 1, 2019. This faculty appointment is for one academic year, but may be renewed for consecutive appointments. Applicants must have a PhD in mathematics or a closely related field.

The department seeks applicants who are strongly committed to teaching and to their ongoing development as educators. The teaching load is three courses per quarter, for a total of nine courses per academic year. DePaul University seeks applicants that reflect the diversity of its student body and the city of Chicago. Applicants who have experience working with a diverse range of faculty, staff, and students, and who can contribute to an inclusive climate are encouraged to identify their experiences in these areas. Women and members of historically underrepresented groups are especially encouraged to apply.

For full consideration, completed applications must be received by November 15, 2018, but the review process will continue until the position is filled. Applications should include a cover letter, a curriculum vitae, a teaching statement, and three letters of recommendation, at least one of which should provide documentation in support of teaching effectiveness. Applicants are also encouraged to supply additional evidence of teaching effectiveness, such as formal teaching evaluation summaries.

Required Qualifications

Ph.D. degree in Mathematics

Preferred Qualifications Posting Number Full-time Faculty 255Posting Close Date Open Until Filled Yes Special Instructions Summary

Applicant Documents

Required Documents

• CV

• Cover Letter

• Reference Contact Info

Optional Documents

• Teaching Evaluations

• Other Document

• Other Document Type 2

Supplemental Questions

Required fields are indicated with an asterisk (*).

• Do you have a Ph.D.?

• Yes

• No

• Please indicate in which field of study that you have attained your Ph.D.

(Open Ended Question)

• How did you hear about this employment opportunity?

• Public Job Posting

• Internal Job Posting

• Agency Referral

• Advertisement/Publication

• Personal Referral

• Website

• Other

Posting Details

Position Information

Position Title Teaching Assistant for Mathematical Sciences Position Summary

The Department of Mathematical Sciences at California Baptist University invites NMS students to apply for part-time teaching assistant, reader/grader, and lab instructor positions in the area of mathematics, physics, and statistics. Recruitment for these positions is ongoing.

Qualifications

Candidates must be enrolled at California Baptist University and majoring in a degree offered by the Department of Mathematical Sciences (Actuarial Science, Applied Statistical Analysis, Foundational Mathematics, Mathematics, and Sports Analytics) with Junior or Senior status or above. Candidates also must (1) be committed Christians, (2) embrace the mission of California Baptist University, and (3) evidence a clear understanding of, and commitment to, excellence as a Teaching Assistant, including the integration of faith and learning.

Teaching Responsibilities Nondiscrimination Statement

Supplemental Questions

Required fields are indicated with an asterisk (*).

• Are you a Christian?

• Yes

• No

• Do you attend church regularly?

• Yes

• No

• If no, please explain (required):

(Open Ended Question)

• Are you both familiar with and not in conflict with the fundamental doctrines and practices of the California Southern Baptist Convention as stated in the Baptist Faith and Message dated June 14, 2000? (Please see above link for more information)

• Yes

• No

Applicant Documents

Required Documents

Optional Documents

• Christian Experience Essay

• Resume

• Cover Letter

Requisition ID: QUA008172

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck Manufacturing Division, MMD, is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that's committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe.

The employee is responsible for the analysis and evaluation of data to meet the needs of the Merck Manufacturing Division. The employee will, through consultation with employees and teams, provide data science expertise including data wrangling, data evaluation (visualization and numerical analysis) and interpretation of results.

The employee will create analytic workflows, dashboards and apps that allow MMD employees to utilize the data we gather in development and manufacturing activities. The employee will assist in innovations in data science and bring in new technology as appropriate. They will be involved in external regulatory and industry collaborations to learn from and influence the external environment.

Qualifications

Education Minimum Requirement:
0-5 years of experience in a science-based analytics role. MS or PhD in Data Science, Statistics, Mathematics, Engineering, Chemistry, or Biology (with emphasis on data analysis).

Strong technical skills including statistics, programming (R, Python), data management (SQL), multivariate analysis, machine learning, data science. The employee will need the following non-technical skills: a curiosity about science and engineering needed to supply Merck's products, and solid oral and written communication skills

Additional experience in Engineering, Biology, Chemistry and/or Six Sigma is considered a plus.

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we're inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to staffingaadar@merck.com.

#LI - HW2

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails.

All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

EEOC Poster

EEOC GINA Supplement

OFCCP EEO Supplement

Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of it's manifestations.

Job: Quantitative Sciences Generic

Other Locations: Kenilworth, NJ, US

Employee Status: Regular

Travel: Yes, 10 % of the Time

Number of Openings: 1

Shift (if applicable): 1st

Hazardous Materials:

Company Trade Name: Merck

Nearest Major Market: Philadelphia

Requisition ID: QUA008173

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck Manufacturing Division, MMD, is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that's committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe.

The employee is responsible for the analysis and evaluation of data to meet the needs of the Merck Manufacturing Division. The employee will, through consultation with employees and teams, provide data science expertise including data wrangling, data evaluation (visualization and numerical analysis) and interpretation of results.

The employee will create analytic workflows, dashboards and apps that allow MMD employees to utilize the data we gather in manufacturing activities. In the future this data will increase in size and complexity. The employee will provide innovations in data science and bring in new technology as appropriate. They will be involved in external regulatory and industry collaborations to learn from and influence the external environment.

Qualifications

Education Minimum Requirement:
3-10 years of experience in a science-based analytics role. MS or PhD in Data Science, Statistics, Mathematics, Engineering, Chemistry, or Biology (with emphasis on data analysis).

Deep technical skills including statistics, programming (R, Python), data management (SQL), multivariate analysis, machine learning, data science. The employee will need the following non-technical skills: business acumen, a curiosity about science and engineering needed to supply Merck's products, and excellent oral and written communication skills

Additional experience in Engineering, Biology, Chemistry and/or Six Sigma is considered a plus.

#LI - HW2

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we're inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to staffingaadar@merck.com.

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails.

All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

EEOC Poster

EEOC GINA Supplement

OFCCP EEO Supplement

Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of it's manifestations.

Job: Quantitative Sciences Generic

Other Locations: Kenilworth, NJ, US

Employee Status: Regular

Travel: Yes, 10 % of the Time

Number of Openings: 1

Shift (if applicable): 1st

Hazardous Materials:

Company Trade Name: Merck

Nearest Major Market: Philadelphia

Position Information

Department Mathematical Sciences Alternate Department Description Criminal Background Check Standard Background Check Motor Vehicle Background Check No Restricted Position? Job Category Instructional or Research Faculty Role (State) Job Title Assistant Professor of Mathematical Sciences:

Analysis (Tenure-Track) Working Title Assistant Professor of Mathematical Sciences:

Analysis (Tenure-Track) Job Type Full-Time Position Number F338AZ Recruit Number Faculty - 7489 Working Hours Location Fairfax, VA Other Location Pay Band Salary Commensurate with education and experience. Web Announcement

Assistant Professor of Mathematics: Analysis (Tenure-Track)

The George Mason University, Department of Mathematical Sciences in the College of Science (COS), located in the vibrant Washington, D.C., area, invites well-qualified candidates to apply for a nine-month, Tenure-Track Assistant Professor position starting the Fall 2019 semester. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.

Responsibilities:

The successful candidate will be expected to teach at both the undergraduate and graduate levels; support the department's PhD program in Mathematics; and provide service activities to the department, college and university.

Required Qualifications:

Candidates must possess a Ph.D. degree by 25 August 2019, and must have strong records in both research and teaching.

Preferred Qualifications:

Candidates currently with postdoctoral appointments are preferred. Strong preference will be given to candidates in Analysis and whose research interests align with those of the department.

For more information about the Mathematical Sciences Department, visit http://math.gmu.edu/.

For more information about the College of Science, visit http://cos.gmu.edu/.

Special Instructions to Applicants

For full consideration, applicants must apply for position number F338Az at http://jobs.gmu.edu/ by December 1, 2018; complete and submit the online application; and upload a cover letter, curriculum vitae, research statement, teaching statement and at least four letters of recommendation, one of which discusses teaching.

Note to applicants regarding letters of recommendation: If letters of recommendation (LORs) are not available at the time of application, upload a blank Microsoft Word document with text stating that the LORs will be mailed to the address below.

The applicant system will not let the application proceed without the required document uploads. Applications must be submitted through https://jobs.gmu.edu in order to be considered.

Correspondence may be e-mailed to math@gmu.edu or sent by mail to:

Search Committee (Tenure-Track Assistant Professor F338Az)

Department of Mathematics Sciences

Exploratory Hall, Room 4400

Mail Stop 3F2

George Mason University

Fairfax, VA 22030

For Full Consideration, Apply by: December 1, 2018 Posting Date 09/12/2018 Job Close Date Open Until Filled?

Yes Telework Friendly? No Mason Ad Statement

Great Careers Begin at Mason!

George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report "Up and Coming" spot for national universities and is recognized for its global appeal and excellence in higher education.

Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.

If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!

George Mason University, Where Innovation is Tradition.

Equity Statement

George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.

Campus Safety Information

Mason's Annual Security and Fire Safety Report is available at http://police.gmu.edu/annual-security-report/

Job Description: Job Number: R0029496

Operations and Mathematical Modeling Research Analyst

Key Role:

Serve in the quantitative analysis field and work with senior staff to resolve a wide range of operations research (OR) issues. Develop solutions by demonstrating and applying expertise in OR. Analyze the refinement, design, and development of systems requirements, map input and output processes, capture relationships amongst parameters of complex systems, and develop measures of system health and performance. Develop predictive models of system performance and guide decision makers towards optimal design. Leverage modeling and measuring techniques, mathematics, statistical methods, engineering methods, operational mathematical techniques, and other principles and laws of scientific and economic disciplines in determining solutions.

Basic Qualifications:

• 4+ years of experience with quantitative analysis or modeling

• Experience with developing requirements for and building statistical or simulation models

• Experience with scripting or scientific languages, including Python, Java, C++, MATLAB, @RISK, ARENA, CPLEX, NETICA, EXTEND, or R

• TS/SCI clearance with a polygraph

• BA or BS degree in Operations Research, Engineering, Business Administration, Economics, Applied Mathematics, or Statistics

Additional Qualifications:

• Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation

• Experience with Microsoft Office, including Excel and Access

• Ability to consult with non-technical audiences on technical problems, work in a highly collaborative, team-oriented environment, and balance long and short-term tasking

• Ability to take poorly defined problems and convert them into questions for which practical solutions can be defined

• Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality documentation, analysis, and reports

• Ability to be detail-oriented and organized

• MA or MS degree preferred; PhD a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

We're an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.

CMD

Job Title: Mathematical Optimization Research Scientist

Job Role Summary

ExxonMobil is looking for a mathematical optimization scientist with backgrounds in operations research, management sciences, applied mathematics or engineering. We are looking for dynamic, creative, and resourceful individuals to join our research efforts in broad set of upstream oil & gas areas including exploration, development, production and commercial. The focus on value generation provides the opportunity to have significant impact leveraging ExxonMobil's strong belief in creating commercial advantage through the use of technology. The company places high emphasis on fundamental scientific skills and the ability to combine technical skills with business understanding to improve profitability.

Job Role Responsibilities

• Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.

• Distill problem definitions and constraints from informal or abstract business requirements and engineering problems; and to deal with ambiguity and competing objectives.

• Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows and algorithms to design optimal or near optimal solution methodologies.

• Contribute to various stages of optimization model development and deployment

• Provide technical support and enhancements to affiliates worldwide for deployed research applications.

• Research and propose use of new technologies.

Expected Level of Proficiency

• Ph.D. in Engineering, Applied Mathematics, Computer Science, Operations Research, or other related scientific disciplines, combined with strong computational modeling and algorithmic skills.

• Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms.

• Ability to convey rigorous mathematical concepts and considerations to non-technical audience.

• Expert in at least one major programming language (C/C++, C#, Java, Python, etc.) or optimization modeling language (e.g. AMPL, GAMS, AIMMS, OPL, etc.)

• Demonstrated communication skills and software development skills in a collaborative team environment.

• Have a desire and an ability to grow into new science areas.

• Experience in the petrochemical industry or geoscience is not required.

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Nearest Major Market: Houston

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