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You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.Position: CI Sr. Data Scientist B35At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 70,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.The Colleague Services (CS) organization within the Colleague Experience Group (also known as Human Resources) at American Express plays a critical role in providing the best-in-class services, capabilities, data, and insights that enable a great colleague experience. The organization builds and evolves essential products and services to enable the Colleague Experience Group (CEG) and the business. The CS organization manages the ecosystem of CEG products, processes, platforms, applications, third party partners, colleague insights and reporting, and colleague-related risk, compliance, and governance.The Colleague Insights Data Science team within Colleague Services is seeking a Senior Data Scientist to lead priority analytics for employee-focused use cases. As a key leader on the team, you will apply your expertise in machine learning, AI, and advanced quantitative analysis to explore large datasets, derive actionable insights, and influence strategic decisions in critical areas such as talent mobility, employee retention, recruitment, and Diversity, Equity, &amp; Inclusion initiatives.We are looking for a candidate with strong statistical and quantitative skills, a deep understanding of business dynamics, and a passion for using data to tell compelling stories. Your ability to communicate insights clearly to business audiences will be critical, as will your drive to solve complex problems and innovate.Beyond domainexpertise, this role requires a commitment to learning, exceptional communication skills, and the ability to translate data-driven insights into meaningful actions. By fostering engagement and inclusivity, you will contribute to the continuous growth and success of American ExpressKey Responsibilities:<ul><li>Define the opportunity for analytics; Identify or distill business needs into analytics workstream</li></ul><ul><li>Summarize findings and effectively communicate in a compelling way to senior leaders to drive business action</li></ul><ul><li>Make recommendations to partners for colleague metrics/data to help track CEG program effectiveness and development</li></ul><ul><li>Collaborate with CEG partners, Technology, and peer analytics team members to get things done, influence priorities and develop knowledge</li></ul><ul><li>Manage customer relationships and work as part of a cross-functional team to assess needs and translate them into strategic plans and data-driven solutions.</li></ul><ul><li>Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.</li></ul><ul><li>Construct and apply statistical models for data analysis, correlation identification, predictive modeling, and accurate forecasting.</li></ul><ul><li>Employ machine learning algorithms to construct models for various data-driven applications.</li></ul><ul><li>Identify pertinent features and process raw data to enhance model performance and predictive accuracy.</li></ul><ul><li>Apply data visualization tools and techniques to clearly communicate complex findings, employing effective storytelling methods.</li></ul><ul><li>Cooperate with cross-functional teams to comprehend business challenges and generate data-driven solutions.</li></ul><ul><li>Adhere to data governance guidelines, uphold data privacy and security standards, and align with applicable regulations.</li></ul><ul><li>Stay current with data science advancements, attend industry conferences, participate in training, and continually hone domainknowledge .</li></ul><ul><li>Lead, engage and develop a high-performing analyst/s and guide them to deliver superior business results.</li></ul>Required Qualifications<ul><li>Advanced degree (Master's or PhD) in Statistics, Mathematics, Engineering, or a related analytical field.</li></ul><ul><li>4–5 years of dynamic experience in quantitative analysis and statistical modeling to support business decisions.</li></ul><ul><li>Proficiency in statistical concepts such as distributions, regression, confidence intervals, correlation, significance, P-value, and T-tests.</li></ul><ul><li>Experience handling ambiguous and complex analytical tasks, including working with unstructured data.</li></ul><ul><li>Strong programming skills in Python, with proficiency in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).</li></ul><ul><li>Solid understanding of database management with expertise in SQL or NoSQL databases.</li></ul><ul><li>Proficiency in Python and R for data analysis and modeling.</li></ul><ul><li>Experience with data visualization tools such as Tableau or Power BI.</li></ul><ul><li>Strong SQL skills, with the ability to independently write efficient and accurate queries.</li></ul><ul><li>Ability to develop HR data expertise and produce modeling-ready datasets.</li></ul><ul><li>Quick learner with the ability to work under tight deadlines, demonstrating initiative and ownership.</li></ul><ul><li>Adaptability to shifting priorities and deadlines.</li></ul><ul><li>Excellent problem-solving, communication, and project management skills.</li></ul><ul><li>Capacity to handle multiple priorities and effectively manage work allocation.</li></ul><ul><li>Strong adaptability and willingness to learn and apply new technologies and methodologies.</li></ul>Preferred Skills<ul><li>Proven experience using analytics to solve business problems in complex organizations.</li></ul><ul><li>Background in People Analytics.</li></ul><ul><li>3+ years of programming experience in Python, R, SQL, or Hive.</li></ul><ul><li>proven experience with Tableau or Power BI for data visualization.</li></ul><ul><li>Strong communication skills for presenting results to both tech-savvy and general audiences.</li></ul><ul><li>Exceptional consultative skills with the ability to build strong cross-functional relationships.</li></ul>Additional Details:<ul><li>Work Location Options: Hybrid /NYC</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

American Express

Manager - Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.Organization:The Finance Data Science and Analytics (FDS&amp;A) organization partners across the enterprise to drive analyses and forecasts for key metrics and investment decisions.The team leverages the latest modelling and analytics techniques to provide insights on both current and future performance. Description:This Manager-level position is an opportunity to drive innovation at American Express by supporting our Generative AI workstreams for Finance. Working with the Gen AI Product Owner, this role will drive the ideation, development, and implementation of next-generation AI solutions. Working in a whitespace environment this position will partner closely with both Technologies and end users to launch new capabilities and play a critical role in translating business requirements into strategic AI solutions for our state-of-the-art use cases. This is a high-visibility role which affords the opportunity to shape the strategy for cutting-edge Generative AI capabilities in Finance. The manager will focus on cross-functional collaboration and ideation of new and novel concepts in this rapidly evolving domain and should expect frequent exposure to senior leaders across Finance, Technology, Risk other adjacent organizations.Based in the Amex Tower in New York City, this hybrid position promises a stimulating blend of strategic influence and hands-on innovation.Responsibilities:·Develop, build, and scale Finance next generation AI solutions ·Stay on top of the latest developments and innovations in the Gen AI space, including industry trends, best practices and new product / capability launches from third-parties·Serve as the bridge between business stakeholders and technical teams, translating business requirements into technical specifications and user stories for AI-driven product features and enhancements·Partner with Gen AI PMO to own the end-to-end product lifecycle for AI initiatives in Finance, from ideation and conceptualization to implementation ·Utilize agile tools and techniques to drive successful delivery, including writing features and user stories·Partner with PMO to develop and report on tracking KPIs and outcomes from the use cases with on-going monitoring mechanismsQualifications:·Comfort thriving in whitespace/greenfield role where there is an obligation to innovate and continuously drive new ideas independently·Desire to thought partner to develop and implement transformative tools and capabilities·Passion for learning about emerging technologies in the Gen AI space with a focus on applicability to use cases in the Finance organization·Demonstrated experience communicating technical concepts to non-technical audiences and vice-versa, bridging the gap between academic outputs and real-world applications·Understanding of AI technologies, including machine learning, natural language processing, large language models and generative AI·Excellent communication skills to effectively communicate with stakeholders across levels the Enterprise·Experience with at least one programming language such as python·B.S. / M.S. or Ph.D. in a quantitative field [e.g., Applied Mathematics, Physics, Engineering, Computer Science] strongly preferred·Familiarity with Agile and Scrum methodologies preferredSalary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Manager-Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.&nbsp; Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.&nbsp; Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.&nbsp; And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development.&nbsp; Find your place in technology on #TeamAmex.&nbsp;&nbsp;Let’s share success.Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.&nbsp;As the Data Science team in Global Infrastructure Product Services embarks on building and deploying advanced data science and machine learning (ML) models, we are looking for a senior data scientist to build, deploy and monitor models in production.&nbsp; This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations.A successful data scientist knows that delivering on that promise takes foresight, planning and agility.&nbsp; We are seeking data scientists who are not only technically adept, but also understand the importance of harnessing the power of data to streamline financial operations, enhance decision-making and improve business outcomes.&nbsp;This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and production models. The financial forecasting models will help ensure that our technology spending is transparent, efficient, and properly aligned with our strategic objectives. The role requires a blend of technical prowess in data engineering, data science, MLOps, and an understanding of enterprise infrastructure components &amp; their economics.Let’s build on what you know.If you are a pioneer in developing and continuously evolving data science models in production that drive and monitor infrastructure and cost consumption analysis, you'll find a fit in our Data Science team in Global Infrastructure Product Services. To succeed in this newly forming team, you’ll need to be comfortable navigating ambiguity to stand up solutions 0à1 while discovering and leveraging enterprise platforms and best practices.&nbsp;Here’s just some of what you’ll do:<ul><li>Design and build scalable solutions using AI and Machine Learning (Generative AI, Natural Language Processing, Reinforcement Learning, and Time Series predictions) in financial forecasting and optimizing infrastructure resource utilization to help further mature our FinOps and AIOps framework</li><li>Own the model building and refining from identifying business problems, collecting training dataset, analyzing data, modeling, validating to delivering production grade solutions at scale.</li><li>Drive high-level and detailed technical design conversations and reviews</li><li>Be responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration</li><li>Work closely with stakeholders across Technology, Finance and business unit portfolio leaders to define scope, requirements and incorporate cost drivers, allocation methods, and infrastructure nuances</li><li>Ensure best practices are aligned with Enterprise Architecture and ML COEs</li><li>Develop SQL queries, scripts and routines to automate data processing and enhance the model’s accuracy and efficiency</li><li>Generate insightful data visualization and reports to aid in decision-making</li><li>Lead training sessions and create comprehensive documentation to empower end users to leverage the cost model effectively </li><li>Provide technical mentorship to team members at junior levels</li><li>Function as an active member of an agile team </li></ul>Are you up for the challenge?&nbsp; Here’s what you should have:<ul><li>Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields. </li><li>3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems</li><li>Demonstrated experience in building and owning data science solutions and pipelines within the MLOps ecosystem in at least 2 of the 3 major cloud platforms (Vertex AI, Azure Machine Learning, AWS Sagemaker). </li><li>Experience in automating, troubleshooting and upgrading data &amp; machine learning pipelines that allow model retraining and continuous monitoring</li><li>Hands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testing</li><li>Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks) and NLP solutions at scale </li><li>Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store</li><li>Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)</li><li>Experience in deploying out-of-the box LLMs and Generative AI solutions.</li><li>Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts</li><li>Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development</li><li>Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset</li><li>Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience</li><li>Experience in Financial Services industry is preferred</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Senior Data Scientist

Lecturer in Computer Information Systems and Cyber Security Systems (2024-2025 Academic Year) UIW Mission Position Summary The School of Mathematics, Science and Engineering is seeking part-time faculty candidates for Lecturer in Computer Information Systems and Cyber Security Systems. The School offers a Bachelor of Science Degree in Computer Information Systems or Cyber Security Systems. In all matters, faculty are expected to maintain the highest standards of professional ethics consistent with the UIW Mission. Official duties and responsibilities of part-time faculty members at the University include teaching and professional activities as assigned. This applicant pool will remain online and be used to hire interested part-time faculty as needed for the 2024-2025 academic year. Essential Functions Basic Instructional Duties:<ol> <li> Prepare course outlines and teach Computer Information Systems and/or Cyber Security Systems courses as assigned by department based on approved departmental syllabi; prepare and deliver consistent, interactive lectures, incorporating technology into teaching.</li> <li>Follow common syllabus, utilizing online homework system and learning management system.</li> <li>Prepare and execute timely and meaningful assessments for assigned courses.</li> <li>Work collaboratively with departmental faculty to ensure standard curriculum outcomes are met.</li> <li>Be available outside of class to help students learn and to answer their questions (1 hour per 3-hour class, physically and/or electronically).</li> <li>Adhere to UIW Faculty Handbook policies and processes including timely record keeping of student activities, fair and equitable evaluation of student performance, and timely feedback to students regarding their performance in the course. </li> <li>Conduct respectful relationships with faculty, staff, and students both in and outside the classroom.</li> <li>Maintain contact with the department chair and participate in meetings upon request.</li> <li>Perform other duties as assigned.</li> </ol> Job Duties Knowledge Skills and Abilities <ul> <li>A strong commitment to undergraduate teaching.</li> <li>Ability to teach computer information systems and cyber security systems courses at a college level.</li> <li>Ability to deliver instruction online-ability to effectively learn and use instructional technology.</li> <li>Willingness and flexibility to teach day, evening and weekend sections as needed.</li> <li>Ability to incorporate technology into teaching.</li> <li>Ability to work effectively with individuals from diverse communities and cultures.</li> <li>Employee shall adhere to all applicable rules and regulations of the University, the Conference, and the NCAA.</li> </ul> Required Education Master’s Degree in Engineering, Computer Science, Computer Information Systems, Cyber Security Systems or Master’s Degree in a closely related discipline with 18 graduate hours in CIS and/or Cyber Security. Required Work Experience None specified. Preferred Qualifications <ul> <li>Priority will be given to candidates with strong teaching skills.</li> <li>Teaching experience at the collegiate level.</li> </ul> Required Certifications, Licenses or Registrations None specified. Work Hours Based on course assignment. Physical Demands Typical for faculty in this discipline. Posting Number: UN872PO Job Type: Part Time Job Category: Faculty Desired Start Date: 08/19/2024 Position End Date (if temporary): Reports To: Dean, School of Mathematics, Science, and Engineering Salary: $2,800 - $3,000 per 3hr course, commensurate with experience Open Date: 07/16/2024 Close Date: Open Until Filled: Yes Special Instructions to Applicant N/A. To apply, visit <a href="https://apptrkr.com/5440710" target="_blank">https://jobs.uiw.edu/postings/26149</a> UIW is committed to a policy of equal opportunity in employment, without regard to race, color, sex, sexual orientation, citizenship status, national origin, age, marital status, disability, genetic information, gender identity or expression, veteran status, pregnancy, and religion (except in limited circumstances when religious preference is both permitted by law and deemed appropriate as a matter of University policy).jeid-4afaaefd85171a48b3886ad215c0ef8c

4 Natural and Environmental Sciences Jobs in United States