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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.The Analytics, Investment &amp; Marketing Enablement (AIM) Team – a part of Global Commercial Services Marketing (GCSM) – is the analytical engine that enables American Express’ Global Commercial Business. The team drives profitable growth in acquisitions through Data, Analytics, AI-powered Targeting &amp; Personalization Capabilities.This Director role will be a hybrid role based out of New York, NY, and will be part of the Customer Analytics &nbsp;team within AIM.They will directly lead a team – owning the end-to-end analytics required for creating the engine of growth which shall power the entire Customer journey starting from Acquisitions and encompassing Engagement and Retention across both Card &amp; Beyond Card products. They will be responsible for driving the Offer Personalization for Customer Acquisitions in Commercial space which is a key priority for GCS business. The offer personalization engine will require using advanced analytics, disciplined test &amp; learn, and effective partnership across the Blue Box. Another key focus of the role will be to lead, enhance and standardize CMV framework for GCS Customers which shall enable prioritization of leads and treatments across Cross Sell, Upgrades, Employee Card, and Engagement &amp; Retention space. This role will require close collaboration with key partners across AIM, Marketing, Decision Science, Capabilities, Finance, GIO, and CFR teams.Key Responsibilities Include:<ul><li>Define, Design, Build, and Implement core analytical solutions to accelerate organic growth with multiple initiatives such as targeted offers, scale new treatments and enhance targeting insights capabilities&nbsp;</li><li>Strengthen and standardize the CMV framework across internal acquisition, engagement &amp; retention functions to drive lead prioritization and harmony across all GCS Customer Marketing and Sales channels.</li><li>Collaborate with AIM colleagues managing targeting and analytics for Customer channels and corresponding Marketing colleagues on disciplined test &amp; learn strategy, and various initiatives including setting goals &amp; forecasts for the channel, influencing data-driven strategy changes, personalization.</li><li>Collaborate with Decision Science and Capabilities to manage, guide and build analytical solutions to improve efficiency.</li><li>Lead an internal team, and partner closely with cross-functional teams across Marketing, Decision Science, Capabilities, Finance, GIO, and CFR to achieve program objectives.</li></ul>Qualifications:<ul><li>Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) or 3+ years of experience in analytics is preferred.</li><li>Strong programming skills are preferred. Experience with Big Data programming languages (Hive, Spark), Python, SQL is a plus.</li><li>Experience in large data processing and handling, understanding in data science is a plus.</li><li>Ability to work in a dynamic, cross-functional environment, with strong attention to detail.</li><li>Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.</li><li>Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.</li><li>Demonstrated ability in directly and indirectly leading cross-functional teams is a plus.</li><li>Basic knowledge of statistical techniques like hypothesis testing, regression, t-test, and chi-square test.</li></ul>Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + 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.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.&nbsp;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.

American Express

Director-Data Science, Customer Analytics

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.Treasury Deposits Modeling team is part of American Express Global Treasury organization and is responsible for development, maintenance, execution and documentation of models and analytical frameworks used in direct deposits products. This team also provides analytical support to broader American Express Finance organization and participates in Comprehensive Capital Analysis and Review (CCAR) and Internal Capital Adequacy Process (ICAAP), on analysis related to direct deposits. The team collaborates with various business partners within the American Express Finance and Consumer Services, as well as with oversight groups such as model validation and internal audit.Responsibilities:<ul><li>Development, maintenance, execution and documentation of various models&nbsp;</li><li>Support Treasury and Finance teams with their analytical needs related to direct deposits</li><li>Participate in different forecasting (balance, price, etc.) related to Amex savings products such as High Yield Savings and CD using various quantitative models and techniques</li><li>Participate in firm-wide CCAR stress testing</li><li>Collaborate with other modeling teams within American Express Finance</li><li>Communicate models internally and incorporate stakeholders feedbacks</li><li>Interact with the internal validation and audit groups in addressing model validation findings</li></ul>Minimum Qualifications:<ul><li>Master’s degree in a quantitative discipline (Economics, Finance, Statistics, Mathematic, Operation Research, Engineering)</li><li>Hands-on experience in building statistical and financial models using various techniques and large datasets</li><li>Deep understanding and experience with various machine learning techniques such as Gradient Boosting and Prophet</li><li>Strong programming skills in Python and SQL, and familiarity with Hive, Spark and Lumi</li><li>Effective communication skills to&nbsp;articulate complex ideas clearly and adapt communication styles to different audiences</li><li>Strong business acumen and the ability to analyze data to make informed decisions</li><li>Proficiency in Microsoft Excel and PowerPoint</li><li>Experience in writing technical documentation</li></ul>Preferred Qualifications:&nbsp;<ul><li>2+ years of relevant work experience preferred</li><li>Experience with data visualization software such as Microsoft Power BI and Tableau preferred&nbsp;</li></ul>Considerations for sponsorship: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.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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.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.

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.How will you make an impact in this role?Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.The Finance Data Science &amp; Analytics team drives strategic decisions for the business by applying statistical, innovative, analytical approaches and machine learning techniques. The candidate will be part of a quantitative finance team made up of highly talented individuals with strong intellectual curiosity. The essence of the work involves gathering, manipulating and synthesizing data (customer behaviors, transactions, attributes, etc.), predictive modeling and analytics to drive actionable recommendations. This is an excellent opportunity for an individual to work with the leadership team, gain deeper understanding of AXP business and build key business relationships.&nbsp;This role will support the analytics and forecasting for AXP Global Billed Business volume with a focus on Commercial Services and Global Merchant business. Cross functional collaboration with LFO teams supporting our Commercial Services and Global Merchant business units; as well as with our BU FP&amp;A teams and Enterprise FP&amp;A teams in CP&amp;A, will be a key part of this role.The candidate will be afforded the opportunity to not only observe, but also influence, how strategic decisions are made at senior levels of American Express, and provide recommendations on areas of improvement, while also leading ad-hoc, strategic initiatives related to Billed Business.Responsibilities include:<ul><li>Leverage quantitative skills to provide decision support to business teams on Enterprise-wide forecasting for Billed Business, including, but not limited to, model ownership and results analyses.</li><li>Propose and implement solutions to ad-hoc business problems independently, leveraging data and insights to play the role of strategic advisors.</li><li>Lead Planning activities including Risks &amp; Opportunities (R&amp;O), Long-Range Plan (LRP) and Annual Plan as it relates to CS Billed Business and GMS Discount Billed Volume.</li><li>Deepen trust-based relationships with a variety of stakeholders and levels across the Enterprise, including, but not limited to EFP&amp;A, BU FP&amp;A, LFO teams and business partners.</li><li>Lead multiple volumes-related initiatives concurrently while adhering to deadlines.</li><li>Assist in developing/enhancing spend metric predictive modeling that incorporates card member behaviors and increased level of data granularity.</li><li>Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools.</li><li>Provide thought leadership into key findings and actionable recommendations to influence business strategy.</li><li>Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems.</li><li>Perform financial planning and analysis that serve as the basis for key internal and external communications.</li><li>Ensure the flow of accurate and complete financial information by liaising between internal and external reporting and broader finance organization. </li></ul>Minimum Qualifications:<ul><li>Solid understanding of card economics</li><li>Highly motivated individual with desire to work on ambiguous projects; With the ability to break down and execute on complex ideas</li><li>Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines</li><li>Master’s degree in a quantitative field</li><li>Proficiency in Python, SQL and Hive</li></ul>Preferred Qualifications:<ul><li>2+ years of experience preferred</li><li>Python/R skills strongly preferred</li><li>Statistical/Predictive modeling knowledge and experience strongly preferred</li><li>Experience with data visualization tools preferred</li><li>Strong analytical, organizational, and problem-solving skills with good attention to detail</li><li>Strong desire and ability to learn</li></ul>Considerations for sponsorship: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 positionsSalary 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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.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.&nbsp;

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.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in analytics on #TeamAmex.How will you make an impact in this role?Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are crucial for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.The Senior Manager will play a critical role supporting the development of growth and data-driven strategies to improve Sales portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard methodologies when it comes to developing data-driven solutions.The position will provide consultative support to the GCS Sales leadership team through development of analytical solutions. The incumbent will highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Finance, Technology, and Capabilities partners to drive Sales growth. The incumbent will lead a team of data scientists to design, develop, and test ML-derived solutions that deliver higher client engagement and improve efficiency. The role is positioned at a unique intersection of analytics and informing business outcomes. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, people leadership, and a singular focus on excellence.<h4>Responsibilities:</h4><ul><li>Lead Data Science Projects: Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise in classical machine learning, NLP, generative AI, and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors</li><li>Drive Analytics: Create world class analytics and add valuable insights to inform strategy. Develop actionable insights into Sales and client behavior, and introduce new approaches to transform complex behavioral data, and influence decision-making and strategic direction across the organization</li><li>Develop Modeling Capabilities: Hands-on experience with popular frameworks like TensorFlow, PyTorch, Transformers, etc., focusing on scalability, performance, and interpretability</li><li>People Leadership: Lead a team of high-performing data scientists</li><li>Collaborate Across Teams: Establish and maintain close relationships with key cross-functional partners to understand business strategies, develop goals, and address opportunities</li><li>Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., Lumi) and programming languages like Python, Spark, etc.</li><li>Lead Innovation Through External Perspective: Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problems; translate theoretical advances into practical, scalable solutions that drive the business forward. Challenge status quo, innovate, and harbor strong curiosity</li><li>Define Performance Indicators: Lead analytics and measurement across key performance indicators. Own key stakeholder and executive level communications on progress of committed initiatives, including provision of automated monthly measurement focusing on specific strategic initiatives</li><li>Communicate Insights Optimally: Present findings, recommendations, and results successfully to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations, to enable data-driven decision making&nbsp;</li></ul>Minimum Qualifications<ul><li>3-4 years of relevant work experience</li><li>Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/ Statistics, Engineering)</li><li>Strong analytical and conceptual thinking acumen, with demonstrated ability of translating complex, unstructured business problems into mathematical programming models. Leverage external insights and tools (from academia or other industries) where needed</li><li>Capable of articulating key findings to senior leadership and stakeholders, leveraging insights to influence business decisions</li><li>Familiarity with machine learning libraries and frameworks (e.g., Tensorflow, PyTorch, scikit-learn) and experience applying algorithms to real-world business problems</li><li>High proficiency in Python/SQL is required</li><li>Proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.) is required</li><li>Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data</li><li>Proven experience with data visualization and reporting tools (e.g. matplotlib, seaborn, PowerBI)</li><li>Proficiency with industry recognized ETL methods, processes and standards</li><li>Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)</li><li>Strong communication skills, capable of explaining analyses in audience-appropriate terms</li><li>Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and passion for learning</li></ul>Preferred Qualifications<ul><li>Masters/PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)</li><li>2+ years’ experience of applying machine learning techniques to real-world business problems</li><li>Experience with Hadoop and Spark is a plus</li><li>People leadership experience</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.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.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.

Senior Manager - Data Science

Position Title: Adjunct – Atmospheric Science Department: Mathematics &amp; Sciences (MAS) Division: Mathematics &amp; Sciences (MAS)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Employee Status: Adjunct (Fall, Spring, and or Summer Semesters) Group: NA Grade: Adjunct FLSA: Non-Exempt ICCB Classification: Teaching Faculty&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Issued: February 2025 Updated: 2/25&nbsp; Reporting Relationships Reports to: Dean of Mathematics &amp; Sciences Supervision Exercised: None Job Summary&nbsp; Teach assigned classes and perform activities related to classroom instruction.&nbsp; Ability to teach in person is preferred, but online options may be available after completing training and credentialing requirements. Essential Duties and Responsibilities include the following. Additional related duties may be assigned.&nbsp; <ul><li>Teaching: <ul><li>Instruct students in introductory atmospheric science classes.</li><li>Meet classes at assigned times.</li></ul></li><li>Course Preparation:<ul><li>Select appropriate texts and teaching materials.</li><li>Prepare and deliver lectures, assignments, and assessments that align with course objectives and learning outcomes.</li><li>Keep informed on the latest research and journal articles.</li></ul></li><li>Student Engagement:<ul><li>Foster an inclusive and supportive classroom environment that encourages active participation and engagement.</li><li>Provide availability for student interaction before and after class.<ul><li>(1 hour weekly minimum per 3 credit hours)</li></ul></li></ul></li><li>Assessment and Feedback:<ul><li>Evaluate student performance through a variety of assessment methods. Provide constructive feedback to support student improvement.</li><li>Utilize Rock Valley College’s chosen Learning Management System (LMS) for all grading, assignments, communication, and student records.</li><li>Prepare course/class reports as required.</li></ul></li><li>Collaboration:<ul><li>Work collaboratively with colleagues and contribute to the department’s initiatives and activities.</li><li>Attend college meetings when available (faculty, division, in-service training, etc.).</li></ul></li><li>Compliance:<ul><li>Adhere to college policies, procedures, and academic standards.</li><li>Adhere to Family Education Rights and Privacy Act (FERPA) and any and policies or laws that govern higher education at Rock Valley College</li></ul></li></ul>Qualifications&nbsp; To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. &nbsp; Minimum Qualifications<ul><li>Master's degree in Atmospheric Science or closely related discipline OR a Master’s degree with at least 18 graduate hours in atmospheric science.</li><li>Commitment to the community college mission.</li></ul>Preferred Qualifications<ul><li>Terminal degree in atmospheric science or a closely related discipline is preferred.</li><li>Teaching experience in college-level courses is preferred.</li><li>Experience with curriculum development and assessment is preferred.</li><li>Interest in involvement in division and college initiatives.</li><li>Familiarity with online teaching platforms and digital resources for science education instruction is preferred.</li></ul>Work Environment While performing the duties of this job, the employee works in a classroom setting. &nbsp; Physical Demands Physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: While performing the duties of this job, the employee is regularly required to use hands and fingers to handle, feel, or operate objects, tools or controls, and reach with hands and arms. The employee is frequently required to stand, talk and hear. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

Rock Valley College

Atmospheric Science Adjunct

PRODiG Plus Fellow, School of Marine and Atmospheric SciencesLocation: West CampusOpen Date:Jan 13, 2025Deadline:Apr 11, 2025 at 11:59 PM Eastern TimeDescriptionDescription of Duties: The School of Marine and Atmospheric Sciences (SoMAS) at Stony Brook University invites applications for a non-tenure-track position in Marine Sciences, Atmospheric Sciences, or Sustainability Studies as part of the at Stony Brook University invites applications for a non-tenure-track position in Marine Sciences, Atmospheric Sciences, or Sustainability Studies as part of the at Stony Brook University invites applications for a non-tenure-track position in Marine Sciences, Atmospheric Sciences, or Sustainability Studies as part of the at Stony Brook University invites applications for a non-tenure-track position in Marine Sciences, Atmospheric Sciences, or Sustainability Studies as part of the <a href="https://www.suny.edu/prodig-plus/" target="_blank">https://www.suny.edu/prodig-plus/</a> program. The PRODiG Plus program was created as a pipeline to facilitate postdoctoral fellows to enter tenure-track faculty positions at SUNY campuses. The incumbent will be initially hired into a two (2) year, 12-month non-tenure track faculty position at the lecturer level beginning in the fall of 2025, and will be mentored by a tenured faculty member most closely related to their research interests. A successful and productive candidate will have the opportunity to transition to a tenure-track position after two years.Additional information on the PRODiG Plus Fellowship can be found at: <a href="https://www.suny.edu/PRODIG-PLUS/" target="_blank">https://www.suny.edu/PRODIG-PLUS/</a>Stony Brook prides itself on attracting an incredibly diverse student body, including many first-generation college students. Recent studies have shown that Stony Brook is one of the top universities in the U.S. for supporting the upward mobility of its students. We are interested in scholars with the potential to offer a critical perspective based on experience in or understanding of groups historically underrepresented in higher education. The PRODiG Plus Fellowship is open to any and all prospective candidates regardless of race, color, national origin, or gender, and is consistent with all current governing federal and state nondiscrimination laws. All application submissions will be assessed and evaluated in accordance with the required eligibility criteria.Candidates must have demonstrated plans to contribute to inclusion, diversity and equity, excellence in innovative research, and will teach classes (estimated 1 per year) at the undergraduate and/or graduate levels, as well as mentor students. Their primary focus will be pursuing scholarly productivity.QualificationsEligibility Criteria • Eligible to work in the United States without a visa sponsorship.• Ph.D. or relevant terminal degree from an accredited institution completed prior to start date.• Demonstrate personal, academic, and/or work experience engaging with diversity, equity, and inclusion and/or a commitment to facilitating and enhancing diversity, equity, and inclusion efforts in the campus community. Such experience may include, but is not limited to, an academic/scholarly track record focused on diversity, equity, and inclusion; work, volunteer/unpaid/community service; or related experience/expertise in serving underserved or vulnerable areas and/or populations.To participate in PRODiG Plus, candidates are required to:Required Qualifications:• Candidates must be eligible to work in the United States without visa sponsorship.• Have a Ph.D. (or foreign equivalent) in Atmospheric Sciences, Marine Sciences, Sustainability Studies or related field in hand no later than August 2025.• Demonstrate personal, academic, and/or work experience engaging with diversity, equity, and inclusion and/or a commitment to facilitating and enhancing diversity, equity, and inclusion efforts in the campus community.Such experience may include, but is not limited to, an academic/scholarly research track record that includes focus on diversity, equity, and inclusion; work, volunteer/unpaid/community service; or related experience/expertise in serving underserved or vulnerable areas and/or populations.Preferred Qualifications:Expertise in coastal marine and/or atmospheric processes and/or sustainability. Demonstrated research experience and/or publication productivity in area of expertise.Preference will be given to candidates who are:• Current SUNY students, alumni, and/or Fellows• From a low-income background (e.g., Pell-eligible as undergraduates).• Were first generation college students (students whose parents have not earned a bachelor's degree).• Have overcome adversity.• Are AmeriCorps alumni.• Are veterans.The PRODiG Plus Fellowship is open to any and all prospective candidates regardless of race, color, national origin, or sex, and is consistent with all current governing federal and state on discrimination law. All application submissions will be assessed and evaluated in accordance with the required eligibility criteria.Application InstructionsTo apply, visit The PRODiG Plus Fellowship is open to any and all prospective candidates regardless of race, color, national origin, or gender, and is consistent with all current governing federal and state nondiscrimination laws. All application submissions will be assessed and evaluated in accordance with the required eligibility criteria.Candidates must have demonstrated plans to contribute to inclusion, diversity and equity, excellence in innovative research, and will teach classes (estimated 1 per year) at the undergraduate and/or graduate levels, as well as mentor students. Their primary focus will be pursuing scholarly productivity.QualificationsEligibility Criteria • Eligible to work in the United States without a visa sponsorship.• Ph.D. or relevant terminal degree from an accredited institution completed prior to start date.• Demonstrate personal, academic, and/or work experience engaging with diversity, equity, and inclusion and/or a commitment to facilitating and enhancing diversity, equity, and inclusion efforts in the campus community. Such experience may include, but is not limited to, an academic/scholarly track record focused on diversity, equity, and inclusion; work, volunteer/unpaid/community service; or related experience/expertise in serving underserved or vulnerable areas and/or populations.To participate in PRODiG Plus, candidates are required to:Required Qualifications:• Candidates must be eligible to work in the United States without visa sponsorship.• Have a Ph.D. (or foreign equivalent) in Atmospheric Sciences, Marine Sciences, Sustainability Studies or related field in hand no later than August 2025.• Demonstrate personal, academic, and/or work experience engaging with diversity, equity, and inclusion and/or a commitment to facilitating and enhancing diversity, equity, and inclusion efforts in the campus community.Such experience may include, but is not limited to, an academic/scholarly research track record that includes focus on diversity, equity, and inclusion; work, volunteer/unpaid/community service; or related experience/expertise in serving underserved or vulnerable areas and/or populations.Preferred Qualifications:Expertise in coastal marine and/or atmospheric processes and/or sustainability. Demonstrated research experience and/or publication productivity in area of expertise.Preference will be given to candidates who are:• Current SUNY students, alumni, and/or Fellows• From a low-income background (e.g., Pell-eligible as undergraduates).• Were first generation college students (students whose parents have not earned a bachelor's degree).• Have overcome adversity.• Are AmeriCorps alumni.• Are veterans.The PRODiG Plus Fellowship is open to any and all prospective candidates regardless of race, color, national origin, or sex, and is consistent with all current governing federal and state on discrimination law. All application submissions will be assessed and evaluated in accordance with the required eligibility criteria.Application InstructionsTo apply, visit <a href="https://apptrkr.com/5992351" target="_blank">https://apptrkr.com/5992351</a>.Complete applications should include a curriculum vitae, statements of teaching and research interests (including a list of publications and previous courses taught), contact information of at least three (3) references, and an applicant essay (750 words or less), responding to the following:Please describe how you've engaged, facilitated, and/or enhanced diversity, equity, and inclusion efforts in the campus community. Examples could include personal, academic, and/or work experience and may include, but is not limited to, an academic/scholarly track record focused on diversity, equity, and inclusion; work, volunteer/unpaid/ community service; or related experience/expertise in serving underserved or vulnerable areas and/or populations.Applications should be received by 3/1/2025 for best consideration, although applications will be accepted until the position is filled.The selected candidate must successfully clear a background investigation.In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request . It can also be viewed online at the University Police website at<a href="http://www.stonybrook.edu/police" target="_blank">http://www.stonybrook.edu/police</a>.Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information,veteran status and all other protected classes under federal or state laws.

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