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At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.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. While also highlighting 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.Responsibilities:<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</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&nbsp;</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/PhDs in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, Physics, Operation Research, Engineering and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques</li><li>2+ years’ experience of applying machine learning techniques to real business problems</li><li>Experience leading teams</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 you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<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 - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>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.

American Express

Senior Manager - Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.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 risk and analytics on #TeamAmex.How will you make an impact in this role?Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.Purpose of the Role:The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. &nbsp;This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include: &nbsp;<ul><li>Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened&nbsp; regulatory standards</li><li>Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact&nbsp;</li><li>Communicating results to partners, senior leadership and various model committees</li></ul>Critical Factors to Success:1. Business Outcomes:<ul><li>Drive billing, revenue growth and profitability through advanced analytical techniques</li><li>Maximize business returns by institutionalizing efficient and accurate models.</li><li>Innovate modeling techniques and variable creation</li><li>Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning</li></ul>2. Leadership Outcomes:<ul><li>Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.</li><li>Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings</li><li>Demonstrate learning agility, make decisions quickly and with the highest level of integrity</li><li>Lead with a digital mindset and deliver the world’s best customer experiences every day</li></ul>Past Experience:<ul><li>Preferred 4+ years experience in analytics or big data workstreams</li></ul>Academic Background:<ul><li>MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute</li></ul>Functional Skills/Capabilities:<ul><li>Hands-on model development or validation experience.</li><li>Experience with NLP / NLU model and chatbot frameworks would be preferred.</li><li>Strong Analytical and Relationship and project management skills for driving validation initiatives.</li><li>Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.</li><li>Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.</li><li>Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.</li><li>Effectively communicating complex Analytical results to Business Partners and Senior Management.</li><li>Flexibility and Adaptability to Work Within tight deadlines and changing priorities.</li></ul> Technical Skills/Capabilities:<ul><li>Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have</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. 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 - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>*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

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;

3 Natural and Environmental Sciences Full Time Jobs