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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

University Of Delaware Salaries by Position

Government Procurement and Business Analyst/Counselor Job no: 501519 College / VP Area: Research Office Work type: Staff Location: Newark/Hybrid Categories: Research & Laboratory, Full Time Salary Structure Pay Grade: 30E Context of the Job: Under the general direction of the Program Director of APEX Accelerator Delaware, a unit of the University of Delaware Office of Economic Innovation and Partnerships (OEIP), the Government Procurement and Business Analyst/Counselor position is responsible for: <ul><li>Providing technical training and counseling on the Federal and State government contracting process to businesses in the three (3) counties of the State of Delaware; and </li><li>Working with companies to assess their current market position and capabilities, developing, and recommending a marketing or business strategy to increase government sales, providing technical assistance and solutions to Federal and State government contracting issues.</li></ul> Major Responsibilities: <ul><li>Counsel and advise businesses on conducting business with federal, state, and local government.</li><li>Conduct training and public speaking engagements that educate businesses about the APEX Center of Delaware and the government contracting process.</li><li>Assist businesses with product/services marketing and sales research and analysis.</li><li>Identify client government business development needs and internal/external resources to meet need.</li><li>Enhance clients' ability to win awards from government agencies by assisting to develop a strategic marketing plan for procurement opportunities.</li><li>Assist companies to apply to various government databases (i.e., System for Award Management-SAM).</li><li>Assist companies to create company profiles based on their NAICS, SIC, PSC, FSC, and State product/service codes.</li><li>Demonstrate web-based resources and transaction systems, i.e., SAM Contracting Opportunities, DIBBS, WAWF, DE State MyMarketPlace, GSA/FSS Schedules, etc.</li><li>Instruct companies on proposal preparation including interpreting FAR and FAR Supplement regulations, as related to solicitations and contracts.</li><li>Assist clients with their applications for federal and state socio-economic certification programs, i.e., 8(a), WOSB, EDWOSB, HUBZone, VOSB, SDVOSB, etc.</li><li>Develop and implement a marketing plan to obtain new clients for the program. Identify and participate in outreach and networking events.</li><li>Interact with government agencies and large companies that have subcontracting opportunities.</li><li>Educate and advise on specific subject matters and requirements, including but not limited to:</li></ul><ul><ul><li>Industrial Base Analysis and Sustainment (IBAS);</li><li>Mentor-Protege Program (MPP) teaming arrangements;</li><li>Foreign Owned, Operated, or Interest (FOCI) restrictions and businesses structures</li><li>Cybersecurity, including: Federal Acquisition Regulation Clause (FAR) 52.204-21, NIST SP 800-171, and Cybersecurity Maturity Model Certification (CMMC) Levels 1, 2 and 3;</li><li>Government Innovation Programs (GIPs), i.e., DEFENSWERX, Federal Laboratories, Defense Advanced Research Projects Agency (DARPA), etc.</li></ul></ul><ul><li>Identify businesses involved in emerging technologies. </li><li>Perform other job-related duties as assigned.</li></ul> Qualifications: <ul><li>Bachelor's Degree in Business Management, Marketing, Accounting, Finance, Economics or related field and three years of experience in business management or business consulting or equivalent combination of education and experience.</li><li>Certified training in the Federal government contracting or procurement field is highly desirable. </li><li>General knowledge of FAR, DFAR, and other Federal procurement regulations. Working knowledge of Federal and State government regulatory processes related to the procurement of goods and services. </li><li>Ability to interact and present information in a clear and concise manner, to include a wide variety of entrepreneurial, university, governmental, and private sector professionals.</li><li>Excellent oral and written communication skills.</li><li>Ability to conduct independent research; analyze and interpret results and develop comprehensive reports and proposals.</li><li>Ability to plan, organize and manage multiple projects.</li><li>Ability to adapt workload to a changing environment, as well as to government and corporate priorities.</li><li>Skills to exercise considerable judgment, innovation, and discretion in establishing and maintaining effective working relationships across all levels of the organization and with external individuals and groups.</li><li>Excellent computer skills (i.e., experience and regular use of Windows-based software, such as MS Word, Excel, PowerPoint, and other graphics/presentation products).</li><li>Ability to communicate effectively and interact well with people of all ages and diverse backgrounds.</li><li>Ability to conduct client business in any physical setting or virtual location (Experience with Zoom and/or Teams is desirable.).</li><li>Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.</li><li>Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.</li></ul> Special Requirements: <ul><li>Must have valid driver's license and be able to travel to meet with clients anywhere in the State of Delaware and attend professional development events outside of the state.</li></ul> Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence. Applications close:

Research Software Engineer Job no: 501450 College / VP Area: College of Engineering Work type: Staff Location: Newark Categories: Research & Laboratory, Full Time Salary Structure PAY GRADE: 31S CONTEXT OF THE JOB: In this Research Software Engineer (RSE) position, you will closely collaborate on innovative interdisciplinary research software projects across Departments of Computer & Information Sciences, Electrical & Computer Engineering, Political Science & International Relations, and Civil & Environmental Engineering. You will be part of a dynamic team of Research Software Engineers (RSE) that we are building for the newly funded NSF Award "Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region" - an interdisciplinary science project that focuses on modernizing social, behavioral and economic sciences, finance along with coastal science applications. The project aims to leverage tools and techniques in High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science to advance the targeted domain sciences. The position provides an excellent chance for the RSE to split their time equally between enhancing their research software development skills and contributing to the establishment and the growth of the RSE program at UD in collaboration with partnering organizations. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development. MAJOR RESPONSIBILITIES: <ul><li>Develop relevant and optimized software for domain science code via communication and collaboration with domain scientists to enhance the necessary metrics that may include performance, readability, usability, scalability of the code.</li><li>Maintain software libraries and (open-source) repositories.</li><li>Contribute/coordinate with the MATCH/ACCESS and NAIRR program.</li><li>Contribute clean and effective code using software development platforms such as GitHub/GitLab.</li><li>Be an advocate to maintain and improve computing infrastructure for code development</li><li>Create comprehensive documentation of software developed.</li><li>Complete user manuals for knowledge transfer and ensure smooth handover with clear communication at the conclusion of the RSE software development.</li><li>Contribute to research and/or project reports as and when needed.</li><li>Adopt modern software development techniques and enhance/build best practices on RSE lessons learnt by working together with the RSE community.</li><li>Provide consulting expertise across domain sciences within UD and our external partners to leverage synergy across projects.</li><li>Assist with project-driven hackathons that include mentoring.</li><li>Perform other job-related duties as assigned.</li></ul> QUALIFICATIONS: <ul><li>Bachelor's degree in a Computer Science, Computer Engineering, Software Engineering, or related technical field and at five years of experience, or equivalent combination of education and experience.</li><li>Experience in applying software engineering techniques to optimize scientific applications using parallel programming or distributed computing or machine learning (ML)/ AI techniques or high-performance computing. Knowledge of parallel programming models/abstractions and/or MPI. Experience with data science and ML/AI models.</li><li>Expertise using medium-large scale multicore and heterogeneous (CPUs + accelerators such as GPU) clusters.</li><li>Experience with software development for at least mid-size code bases.</li><li>Experience with languages such as Python and R for statistical analysis.</li><li>Demonstrated ability to prepare scientific results for publications and/or presentations at relevant seminars and meetings.</li><li>Excellent verbal and written communication skills</li><li>Strong attention to detail and responsiveness.</li><li>Strong interpersonal skills and an ability to foster a collaborative work environment.</li><li>Familiarity with CMake, make preferred.</li><li>Knowledge of version control systems preferred.</li><li>Ability and interest to communicate and collaborate with diverse science disciplines preferred.</li><li>Experience in leadership, project management, or employee supervision preferred.</li><li>Ability to help design as as well teach some modules of the to-be-created new RSE course/certificate preferred.</li><li>Experience in leading/offering training sessions preferred.</li><li>Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.</li><li>Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.</li></ul> Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence. Applications close:

PAY GRADE: 31S CONTEXT OF THE JOB: In this Research Software Engineer (RSE) position, you will closely collaborate on innovative interdisciplinary research software projects across Departments of Computer & Information Sciences, Electrical & Computer Engineering, Political Science & International Relations, and Civil & Environmental Engineering. You will be part of a dynamic team of Research Software Engineers (RSE) that we are building for the newly funded NSF Award "Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region" - an interdisciplinary science project that focuses on modernizing social, behavioral and economic sciences, finance along with coastal science applications. The project aims to leverage tools and techniques in High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science to advance the targeted domain sciences. The position provides an excellent chance for the RSE to split their time equally between enhancing their research software development skills and contributing to the establishment and the growth of the RSE program at UD in collaboration with partnering organizations. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development. MAJOR RESPONSIBILITIES: <ul> <li>Develop relevant and optimized software for domain science code via communication and collaboration with domain scientists to enhance the necessary metrics that may include performance, readability, usability, scalability of the code.</li> <li>Maintain software libraries and (open-source) repositories.</li> <li>Contribute/coordinate with the MATCH/ACCESS and NAIRR program.</li> <li>Contribute clean and effective code using software development platforms such as GitHub/GitLab.</li> <li>Be an advocate to maintain and improve computing infrastructure for code development</li> <li>Create comprehensive documentation of software developed.</li> <li>Complete user manuals for knowledge transfer and ensure smooth handover with clear communication at the conclusion of the RSE software development.</li> <li>Contribute to research and/or project reports as and when needed.</li> <li>Adopt modern software development techniques and enhance/build best practices on RSE lessons learnt by working together with the RSE community.</li> <li>Provide consulting expertise across domain sciences within UD and our external partners to leverage synergy across projects.</li> <li>Assist with project-driven hackathons that include mentoring.</li> <li>Perform other job-related duties as assigned.</li> </ul> QUALIFICATIONS: <ul> <li>Bachelor's degree in a Computer Science, Computer Engineering, Software Engineering, or related technical field and at five years of experience, or equivalent combination of education and experience.</li> <li>Experience in applying software engineering techniques to optimize scientific applications using parallel programming or distributed computing or machine learning (ML)/ AI techniques or high-performance computing. Knowledge of parallel programming models/abstractions and/or MPI. Experience with data science and ML/AI models.</li> <li>Expertise using medium-large scale multicore and heterogeneous (CPUs + accelerators such as GPU) clusters.</li> <li>Experience with software development for at least mid-size code bases.</li> <li>Experience with languages such as Python and R for statistical analysis.</li> <li>Demonstrated ability to prepare scientific results for publications and/or presentations at relevant seminars and meetings.</li> <li>Excellent verbal and written communication skills</li> <li>Strong attention to detail and responsiveness.</li> <li>Strong interpersonal skills and an ability to foster a collaborative work environment.</li> <li>Familiarity with CMake, make preferred.</li> <li>Knowledge of version control systems preferred.</li> <li>Ability and interest to communicate and collaborate with diverse science disciplines preferred.</li> <li>Experience in leadership, project management, or employee supervision preferred.</li> <li>Ability to help design as as well teach some modules of the to-be-created new RSE course/certificate preferred.</li> <li>Experience in leading/offering training sessions preferred.</li> <li>Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.</li> <li>Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.</li> </ul> Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

Research Software Engineer

Job no:  501450
College / VP Area:  College of Engineering
Work type:  Staff
Location:  Newark
Categories:  Research & Laboratory, Full Time

Salary Structure

PAY GRADE: 31S

CONTEXT OF THE JOB:

In this Research Software Engineer (RSE) position, you will closely collaborate on innovative interdisciplinary research software projects across Departments of Computer & Information Sciences, Electrical & Computer Engineering, Political Science & International Relations, and Civil & Environmental Engineering. You will be part of a dynamic team of Research Software Engineers (RSE) that we are building for the newly funded NSF Award "Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region" - an interdisciplinary science project that focuses on modernizing social, behavioral and economic sciences, finance along with coastal science applications. The project aims to leverage tools and techniques in High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science to advance the targeted domain sciences. The position provides an excellent chance for the RSE to split their time equally between enhancing their research software development skills and contributing to the establishment and the growth of the RSE program at UD in collaboration with partnering organizations. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.

MAJOR RESPONSIBILITIES:

Develop relevant and optimized software for domain science code via communication and collaboration with domain scientists to enhance the necessary metrics that may include performance, readability, usability, scalability of the code.
Maintain software libraries and (open-source) repositories.
Contribute/coordinate with the MATCH/ACCESS and NAIRR program.
Contribute clean and effective code using software development platforms such as GitHub/GitLab.
Be an advocate to maintain and improve computing infrastructure for code development
Create comprehensive documentation of software developed.
Complete user manuals for knowledge transfer and ensure smooth handover with clear communication at the conclusion of the RSE software development.
Contribute to research and/or project reports as and when needed.
Adopt modern software development techniques and enhance/build best practices on RSE lessons learnt by working together with the RSE community.
Provide consulting expertise across domain sciences within UD and our external partners to leverage synergy across projects.
Assist with project-driven hackathons that include mentoring.
Perform other job-related duties as assigned.
QUALIFICATIONS:   Bachelor's degree in a Computer Science, Computer Engineering, Software Engineering, or related technical field and at five years of experience, or equivalent combination of education and experience.
Experience in applying software engineering techniques to optimize scientific applications using parallel programming or distributed computing or machine learning (ML)/ AI techniques or high-performance computing. Knowledge of parallel programming models/abstractions and/or MPI. Experience with data science and ML/AI models.
Expertise using medium-large scale multicore and heterogeneous (CPUs + accelerators such as GPU) clusters.
Experience with software development for at least mid-size code bases.
Experience with languages such as Python and R for statistical analysis.
Demonstrated ability to prepare scientific results for publications and/or presentations at relevant seminars and meetings.
Excellent verbal and written communication skills
Strong attention to detail and responsiveness.
Strong interpersonal skills and an ability to foster a collaborative work environment.
Familiarity with CMake, make preferred.
Knowledge of version control systems preferred.
Ability and interest to communicate and collaborate with diverse science disciplines preferred.
Experience in leadership, project management, or employee supervision preferred.
Ability to help design as as well teach some modules of the to-be-created new RSE course/certificate preferred.
Experience in leading/offering training sessions preferred.
Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.
Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.

Notice of Non-Discrimination, Equal Opportunity and Affirmative Action
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

Applications close:

Apply now Job no: 501450
College / VP Area: College of Engineering
Work type: Staff
Location: Newark
Categories: Research & Laboratory, Full Time

PAY GRADE: 31S
CONTEXT OF THE JOB:
In this Research Software Engineer (RSE) position, you will closely collaborate on innovative interdisciplinary research software projects across Departments of Computer & Information Sciences, Electrical & Computer Engineering, Political Science & International Relations, and Civil & Environmental Engineering. You will be part of a dynamic team of Research Software Engineers (RSE) that we are building for the newly funded NSF Award “Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region” - an interdisciplinary science project that focuses on modernizing social, behavioral and economic sciences, finance along with coastal science applications. The project aims to leverage tools and techniques in High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science to advance the targeted domain sciences. The position provides an excellent chance for the RSE to split their time equally between enhancing their research software development skills and contributing to the establishment and the growth of the RSE program at UD in collaboration with partnering organizations. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.
MAJOR RESPONSIBILITIES:
Develop relevant and optimized software for domain science code via communication and collaboration with domain scientists to enhance the necessary metrics that may include performance, readability, usability, scalability of the code.
Maintain software libraries and (open-source) repositories.
Contribute/coordinate with the MATCH/ACCESS and NAIRR program.
Contribute clean and effective code using software development platforms such as GitHub/GitLab.
Be an advocate to maintain and improve computing infrastructure for code development.
Create comprehensive documentation of software developed.
Complete user manuals for knowledge transfer and ensure smooth handover with clear communication at the conclusion of the RSE software development.
Contribute to research and/or project reports as and when needed.
Adopt modern software development techniques and enhance/build best practices on RSE lessons learnt by working together with the RSE community.
Provide consulting expertise across domain sciences within UD and our external partners to leverage synergy across projects.
Assist with project-driven hackathons that include mentoring.
Perform other job-related duties as assigned.
QUALIFICATIONS:
Bachelor’s degree in a Computer Science, Computer Engineering, Software Engineering, or related technical field and at least five years of experience, or equivalent combination of education and experience.
Experience in applying software engineering techniques to optimize scientific applications using parallel programming or distributed computing or machine learning (ML)/ AI techniques or high-performance computing. Knowledge of parallel programming models/abstractions and/or MPI. Experience with data science and ML/AI models.
Expertise using medium-large scale multicore and heterogeneous (CPUs + accelerators such as GPU) clusters.
Experience with software development for at least mid-size code bases.
Experience with languages such as Python and R for statistical analysis.
Demonstrated ability to prepare scientific results for publications and/or presentations at relevant seminars and meetings.
Excellent verbal and written communication skills.
Strong attention to detail and responsiveness.
Strong interpersonal skills and an ability to foster a collaborative work environment.
Familiarity with CMake, make preferred.
Knowledge of version control systems preferred.
Ability and interest to communicate and collaborate with diverse science disciplines preferred.
Experience in leadership, project management, or employee supervision preferred.
Ability to help design as well teach some modules of the to-be-created new RSE course/certificate preferred.
Experience in leading/offering training sessions preferred.
Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.
Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.

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University Of Delaware Interview Questions

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