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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

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?

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?

Celestar Salaries by Position

Celestar Corporation is seeking multiple Data Scientists - Senior who will perform duties at Redstone Arsenal, AL. If interested and qualified, we welcome you to apply for this challenging opportunity. CLEARANCE REQUIREMENT : Active Top-Secret Level Clearance with SCI Access. Clearance, Access and Investigation must appear in JPAS and be within scope (5 - Years). ANTICIPATED AWARD DATE: November/December 2023 ANTICIPATED START DATE: January/February 2024 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: Redstone Arsenal, AL About Us : Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employ Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. BACKGROUND : The Artificial Intelligence (AI)/Machine Learning (ML) investment is a combined O&M and RDT&E funded effort focusing on improving analytic enabling abilities and data-processing intelligence requirements. This is a scalable approach to increase analytic capabilities across the DIE to meet the growing data processing and analytic enabling requirements. The focus of this effort is to provide the Defense Intelligence Agency (DIA) and Missile and Space Intelligence Command (MSIC), with a robust support contract to aid in the development, refinement, and integration of technology advancement services in the areas of and around AI & ML. OBJECTIVES : Provide a full range of data engineering and data science capabilities that enable advanced analytic capabilities that support the Directorate of Analysis and the entire MSIC mission set. In pursuit of its mission to support DI/MSIC, MSIC-4's enabling of analysis and production must comply with the requirements set forth in Intelligence Community Directive (ICD) 203, "Analytic Standards." MSIC-4 accomplishes its mission using data engineering and computer science teams with cross-functional expertise in topics including data science, data engineering, computer science and application prototype development. MSIC-4 is at the forefront of developing advanced capabilities and tools that comply with tradecraft requirements, enhance the rigor of intelligence production, and automated processes and capabilities. RESPONSIBILITIES <ul> <li> Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. </li> <li> Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. </li> <li>Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems.</li> <li>Develop multiple prototype solutions to existing and new data-science problems using machine learning.</li> </ul> REQUIREMENTS<ul> <li> Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. </li> <li> Possess proven work experience or formal training as a Data Scientist or similar role. </li> <li>Provide expertise in coding, software tools, and accelerated hardware: (1) provides expertise in Python for developing machine learning applications, (2) uses GIT for software version control, (3) uses Linux OS and Docker Containers as a development environment, (4) provides expertise in using single and multiple GPUs for machine learning development.</li> <li>Provide expertise in machine learning and data science: (1) rapidly prototype machine learning (classical and deep learning) models addressing various problems in Scientific and Technical Intelligence, (2) applies knowledge of classical machine learning APIs (Scikit-Learn, Rapids, etc.) and deep learning frameworks (Tensorflow, PyTorch, Keras, etc.), (3) applies knowledge of data science, statistics, and mathematics to evaluate machine learning model performance.</li> <li>Design, develop, and test Machine Learning applications.</li> <li>Brief methodology and results to technical and non-technical audiences.</li> <li> Collaborates with MSIC personnel and shares leading practices and lessons learned in formal training events. </li> <li>Exceptional oral and written communication skills</li> <li>Valid US Passport</li> </ul> EDUCATION & EXPERIENCE : Senior : Master's Degree and twelve ( 12) years of experience or Bachelor's Degree and an additional five (5) years of related experience for a total of seventeen (17) years in lieu of a Master's Degree with at least a portion of the experience within the last 2 years. IMPORTANT NOTE : This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Celestar Corporation is seeking multiple Data Scientists - Software Engineer & Developer who will perform duties at Redstone Arsenal, AL. If interested and qualified, we welcome you to apply for this challenging opportunity. CLEARANCE REQUIREMENT : Active Top-Secret Level Clearance with SCI Access. Clearance, Access and Investigation must appear in JPAS and be within scope (5 - Years). ANTICIPATED AWARD DATE: November/December 2023 ANTICIPATED START DATE: January/February 2024 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: Redstone Arsenal, AL About Us : Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employ Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. BACKGROUND : The Artificial Intelligence (AI)/Machine Learning (ML) investment is a combined O&M and RDT&E funded effort focusing on improving analytic enabling abilities and data-processing intelligence requirements. This is a scalable approach to increase analytic capabilities across the DIE to meet the growing data processing and analytic enabling requirements. The focus of this effort is to provide the Defense Intelligence Agency (DIA) and Missile and Space Intelligence Command (MSIC), with a robust support contract to aid in the development, refinement, and integration of technology advancement services in the areas of and around AI & ML. OBJECTIVES : Provide a full range of data engineering and data science capabilities that enable advanced analytic capabilities that support the Directorate of Analysis and the entire MSIC mission set. In pursuit of its mission to support DI/MSIC, MSIC-4's enabling of analysis and production must comply with the requirements set forth in Intelligence Community Directive (ICD) 203, "Analytic Standards." MSIC-4 accomplishes its mission using data engineering and computer science teams with cross-functional expertise in topics including data science, data engineering, computer science and application prototype development. MSIC-4 is at the forefront of developing advanced capabilities and tools that comply with tradecraft requirements, enhance the rigor of intelligence production, and automated processes and capabilities. RESPONSIBILITIES <ul> <li> Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. </li> <li> Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. </li> <li> Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. </li> <li> Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems. </li> </ul> REQUIREMENTS<ul> <li> Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. </li> <li> Prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. </li> <li> Maintain and extend existing software infrastructure to support machine learning and automation. </li> <li>Possess proven work experience or formal training as a Software Engineer, Software Developer, or similar role.</li> <li>Provide expertise in Python software development: (1) use GIT for software version control, (2) expertise in Agile development methodologies, (3) expertise in full software development life cycle (SDLC), (4) complies with industry standards and best practices, (5) writes well-designed, clean, testable, efficient, maintainable code.</li> <li>Provides expertise in Docker: (1) uses Docker to build and run environments for services (either developed locally or pulled from external repositories) on local resources, (2) uses Docker Compose to configure collections of Docker containers to maintain existing software stack, (3) provides expertise in YAML for software configuration management. </li> <li>Provides expertise in Python back-end software development: uses Python to extend existing software infrastructure with services that support machine learning and automation.</li> <li>Provides expertise in software system design and integration: Integrates software components into a full functional software system.</li> <li>Provides expertise in DevSecOps: (1) Applies knowledge of DevSecOps to software development in Python for existing and new services, (2) Expertise in CI/CD pipelines.</li> <li>Provide expertise in ATO/RMF for software Information Assurance.</li> <li>Maintains and extends software documentation according to 'best practices': create technical documentation, flow charts, and specifications for reference, reporting, and security.</li> <li>Exceptional oral and written communication skills</li> <li>Valid US Passport</li> </ul> EDUCATION & EXPERIENCE : Subject Matter Expert : Master's Degree and twenty ( 20) years of experience with at least a portion of the experience within the last 2 years. Senior : Master's Degree and twelve ( 12) years of experience or Bachelor's Degree and an additional five (5) years of related experience for a total of seventeen (17) years in lieu of a Master's Degree with at least a portion of the experience within the last 2 years. Mid Level : Bachelor's Degree in a related field; Minimum eight (8) years of experience conducting analysis relevant to the position, with at least a portion of the experience within the last two (2) years. IMPORTANT NOTE : This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Celestar Corporation is seeking a Mid-level Data Engineer supporting the National Ground Intelligence Center (NGIC) Facilities and Infrastructure Characterization and Analysis (FICA) located in Charlottesville, VA. If interested and qualified, we welcome you to apply for this challenging opportunity. ANTICIPATED AWARD MONTH: December 2024 ANTICIPATED START MONTH: January/February 2025 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: Charlottesville, VA CLEARANCE REQUIREMENT: Active TS/SCI Clearance About Us: Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. Responsibilities: Works with data users to determine, create, and populate optimal data architectures, structures, and systems. Plans, designs, and optimizes data throughput and query performance. Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Required Experience: Minimum 3 years of experience conducting analysis within the last 2 years. * 7 years of experience in the specific labor category, may be substituted for a Bachelor's degree. Required Education: Bachelor's degree in an area related to the labor category. * 7 years of experience in the specific labor category, may be substituted for a Bachelor's degree. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Celestar Corporation is seeking a Senior-level Data Engineer supporting the National Ground Intelligence Center (NGIC) Facilities and Infrastructure Characterization and Analysis (FICA) located in Charlottesville, VA. If interested and qualified, we welcome you to apply for this challenging opportunity. ANTICIPATED AWARD MONTH: December 2024 ANTICIPATED START MONTH: January/February 2025 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: Charlottesville, VA CLEARANCE REQUIREMENT: Active TS/SCI Clearance About Us: Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. Responsibilities: Works with data users to determine, create, and populate optimal data architectures, structures, and systems. Plans, designs, and optimizes data throughput and query performance. Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Required Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. * 17 years of experience in the specific labor category, may be substituted for a Bachelor's degree. Required Education: Bachelor's degree in an area related to the labor category. * 17 years of experience in the specific labor category, may be substituted for a Bachelor's degree. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Celestar Corporation is seeking multiple Data Engineers - Mid Level who will perform duties at Redstone Arsenal, AL. If interested and qualified, we welcome you to apply for this challenging opportunity. CLEARANCE REQUIREMENT : Active Top-Secret Level Clearance with SCI Access. Clearance, Access and Investigation must appear in JPAS and be within scope (5 - Years). ANTICIPATED AWARD DATE: November/December 2023 ANTICIPATED START DATE: January/February 2024 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: Redstone Arsenal, AL About Us : Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employ Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. BACKGROUND : The Artificial Intelligence (AI)/Machine Learning (ML) investment is a combined O&M and RDT&E funded effort focusing on improving analytic enabling abilities and data-processing intelligence requirements. This is a scalable approach to increase analytic capabilities across the DIE to meet the growing data processing and analytic enabling requirements. The focus of this effort is to provide the Defense Intelligence Agency (DIA) and Missile and Space Intelligence Command (MSIC), with a robust support contract to aid in the development, refinement, and integration of technology advancement services in the areas of and around AI & ML. OBJECTIVES : Provide a full range of data engineering and data science capabilities that enable advanced analytic capabilities that support the Directorate of Analysis and the entire MSIC mission set. In pursuit of its mission to support DI/MSIC, MSIC-4's enabling of analysis and production must comply with the requirements set forth in Intelligence Community Directive (ICD) 203, "Analytic Standards." MSIC-4 accomplishes its mission using data engineering and computer science teams with cross-functional expertise in topics including data science, data engineering, computer science and application prototype development. MSIC-4 is at the forefront of developing advanced capabilities and tools that comply with tradecraft requirements, enhance the rigor of intelligence production, and automated processes and capabilities. RESPONSIBILITIES <ul> <li>Design, implement, and operate data management systems for intelligence needs. </li> <li>Design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. </li> <li>Work with data users to determine, create, and populate optimal data architectures, structures, and systems. </li> <li>Plans, designs, and optimizes data throughput and query performance. </li> <li>Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.</li> <li>Maintain and extend existing data centralization and automation software.</li> <li>Collaborate with MSIC personnel and shares leading practices and lessons learned in formal training events.</li> </ul> REQUIREMENTS<ul> <li>Possess proven work experience or formal training as a Data Engineer, Machine Learning Engineer, or similar role.</li> <li>Provides expertise in Python software development: (1) uses Python to read, create, and modify relational and graph databases, (2) uses Python to provide REST API services for databases, (2) uses GIT for software version control, (3) familiarity with Agile development methodologies, (4) Familiarity full software development life cycle (SDLC), (5) Complies with industry standards and best practices.</li> <li>Maintains and extends existing automation software: (1) provides expertise in Apache Airflow, (2) uses Apache Airflow to design and implement data pipelines for extract, transform, and load operations, (3) uses Apache Airflow to design and implement pipelines for task automation, (4) uses Python and Apache Airflow to develop production machine learning pipelines from existing prototype models, (5) works with data scientist and algorithm developers to design and implement software applications pertaining to data and ML pipelines.</li> <li>Provides expertise in Linux OS and Docker: (1) uses Linux OS as primary development environment, (2) uses Docker to containerize existing software applications.</li> <li>Maintains and extends existing data infrastructure: (1) provides expertise in databases and database design, including both SQL, NoSQL, and ORMs, (2) provides expertise in developing data models for various data modalities.</li> <li>Maintains and extends software documentation according to 'best practices': create technical documentation, flow charts, and specifications for reference, reporting, and security.</li> </ul> <ul> <li>Exceptional oral and written communication skills</li> <li>Valid US Passport</li> </ul> EDUCATION & EXPERIENCE : Subject Matter Expert : Master's Degree and twenty ( 20) years of experience with at least a portion of the experience within the last 2 years. Senior : Master's Degree and twelve ( 12) years of experience or Bachelor's Degree and an additional five (5) years of related experience for a total of seventeen (17) years in lieu of a Master's Degree with at least a portion of the experience within the last 2 years. Mid Level : Bachelor's Degree in a related field; Minimum eight (8) years of experience conducting analysis relevant to the position, with at least a portion of the experience within the last two (2) years. IMPORTANT NOTE : This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Celestar Corporation is seeking a Senior-level Data Engineer (.NET Developer) supporting the United States Central Command (USCENTCOM) Directorate of Intelligence (J2) located at MacDill AFB in Tampa, Florida and at a variety of other locations throughout CONUS/OCONUS and the USCENTCOM Area of Responsibility (AOR). If interested and qualified, we welcome you to apply for this challenging opportunity. ANTICIPATED AWARD MONTH: December 2024 ANTICIPATED START: Early 2025 PERIOD OF PERFORMANCE: 1 Base Year 4 Option Years LOCATION: CENTCOM HQ on MacDill AFB (Tampa, FL) CLEARANCE REQUIREMENT: Active TS/SCI with Poly Security Clearance About Us: Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. Responsibilities: The Contractor shall research, support development of and prepare intelligence assessments in formats approved by DIA/CENTCOM, meet or exceed DIA/CENTCOM quality and tradecraft standards, and provide products within mutually agreed upon timelines. The primary focus is support for the CCJ2 Lakehouse Data Management platform and associated cloud applications and services. Contractors supporting this task will fulfill all projects under this focus area including: Enhance the AI/ML Test & Integration compute space in the Top-Secret Cloud Computing Services (TC2S) environment. Continue to develop software enhancements to the USCENTCOM J2 Lakehouse Data Management Platform fielded during prior contracts. Support new initiatives to develop domain specific UIs that enable operational elements to store data in the Lakehouse platform while simultaneously efficiently tagging/labeling data elements in accordance with new DOD and Intelligence Community (IC) standards. Provide data science support for the implementation, testing and development of AI/ML processing models to be used with USCENTCOM data. Support the implementation, security accreditation and administration of systems being fielded by USCENTCOM J2 in the UC2S, SC2S or TC2S cloud environments. Engineers will continually integrate additional AI/ML processes and management services into the CCJ2 Lakehouse platform to support streamlined operations, the development of enhanced data sets and the ability to share information on a global basis through the improved discoverability of data as the result of the implementation of the Lakehouse architecture. Data Engineers performing in the .NET Developer role will design, develop, and maintain server/client software in support of AI/ML Branch requirements. The contractor must produce code using languages and technologies of the Microsoft .NET framework. The Contractor must have a familiarity with architectural styles/application programming interfaces (APIs) such as REST and RPC. Experience with the GOLang development language is highly desirable. Must have proven experience working in an Agile development environment. At the Senior or higher level, this position requires a current security certification (Security , CISSP). Required Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. The Contractor must have a familiarity with architectural styles/application programming interfaces (APIs) such as REST and RPC. Must have proven experience working in an Agile development environment. At the Senior or higher level, this position requires a current security certification (Security , CISSP). Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Join Our Dynamic Team as a Senior Intelligence Data Analyst! Are you ready for an exciting new challenge? Celestar Corporation is seeking the right professional to join our team as a Senior-level Intelligence Data Analyst in the Fort Meade, MD area. If you have the skills and the drive, we'd love for you to apply! Location: Fort Meade, MD area Clearance Requirement: Active TS/SCI with In-Scope Counterintelligence Polygraph About Us: Celestar is a Veteran-Owned Company that values its employees and offers competitive salaries and fantastic benefits. Here's a taste of what we offer: Company Paid Benefits: Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance, and Disability Insurance. Retirement Plans: 401K retirement plan with company match. Time Off: Paid Holidays and Personal Time Off to recharge and enjoy life. Your Role: As a Senior Intelligence Data Analyst, you will: Dive into data analytics, engineering, and mining to discover insights and build AI tools that streamline processes. Utilize Machine Learning to create innovative tools like recommendation engines and automated lead scoring systems. Perform statistical analysis and data visualization using tools like Power BI, Tableau, R, and Python. Manage and merge diverse data sources to support the defense cover program with high-quality predictive analytics. What We're Looking For: Experience: A minimum of 12 years in a relevant field, with some experience within the last 2 years. Education: Master's Degree with 12 years of experience, or a bachelor's degree with an additional 5 years of related experience (total of 17 years) in lieu of a master's degree. Why Celestar? At Celestar, we value and invest in our employees. We believe in creating a supportive and inclusive work environment where everyone can thrive. Ready to Join Us? If you're passionate about data and ready to take your career to the next level, apply now! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity, or national origin. We can't wait to meet you!

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