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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.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.How will you make an impact in this role?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;Candidate will support the analytics and forecasting for US Card Services Lending business, and work closely with broader Finance community, Business and Risk teams to drive profitable growth for the company.Responsibilities include:<ul><li>Leverage quantitative skills to provide decision support to business teams on key initiatives</li><li>Assist in developing/enhancing lend 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>Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems</li><li>Partner across Finance, Risk and Business to derive strategic insights and evaluate profitability</li><li>Ensure the flow of accurate and complete financial information by liaising between internal and external reporting and broader finance organization.</li><li>Provide thought leadership into key findings and actionable recommendations to influence business strategy</li><li>Perform corporate planning and financial planning and analysis that serve as the basis for key internal and external communications.</li><li>Develop product profitability analytics to support investment and strategic decisions</li><li>Help maintain documentation for monthly CFO management reporting, quarterly results, business events, and accounting changes. Support internal and external reporting by performing year-over-year financial analysis. </li></ul>Ensure integrity of financial information for internal and external stakeholders. Identify financial control gaps and opportunities for efficiencies and create enhancements.Minimum Qualifications<ul><li><ul><li>Bachelor’s / Master’s degree in a quantitative field</li><li>2+ years of experience</li><li>Proficiency in Python, SQL, R or Hive</li><li>Statistical/Predictive modeling knowledge and experience</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>Strong analytical, organizational, and problem-solving skills with good attention to detail</li><li>Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines</li><li>Strong desire and ability to learn</li></ul></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

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 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 capital planning (CCAR), CECL and economic capital models and frameworks. 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 validation of models with a focus on&nbsp;capital planning (CCAR), CECL and economic capital.</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards</li><li>Conduct research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact</li><li>Communicating results to counterparts and senior leadership</li></ul>Critical Factors to Success:1.&nbsp;&nbsp;&nbsp;Business Outcomes:<ul><li>Drive more sound and robust modeling practices by thoughtful review and assessment with advanced analytical techniques</li><li>Demonstrate quality of model risk management by effective challenge and thorough documentation</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</li></ul>2.&nbsp;&nbsp;&nbsp;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 the existing models</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><li>Preferred 1+ years’ experience in Capital planning (CCAR) modeling and/or model risk management, with a GSIB</li></ul>Academic Background:<ul><li>MBA, Master’s Degree in Engineering, 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>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 Python, Py Spark etc. is a must have.</li><li>Data Science/Traditional Modeling, Expertise in Coding, decision trees, Gaussian processes, Bayesian models, Gradient Boosting, Understanding of finance and valuation concepts.</li></ul>Behavioral Skills/Capabilities:&nbsp;Enterprise Leadership Behaviors<ul><li>Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective</li><li>Bring Others with You: Build the Best Team, Seek &amp; Provide Coaching Feedback, Make Collaboration Essential</li><li>Do It the Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue Box Values, Great Leadership Demands Courage</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.*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. 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>

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 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 capital planning (CCAR), CECL and economic capital models and frameworks. 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 validation of models with a focus on&nbsp;capital planning (CCAR), CECL and economic capital.</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards</li><li>Conduct research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact</li><li>Communicating results to counterparts and senior leadership</li></ul>Critical Factors to Success:1.&nbsp;&nbsp;&nbsp;Business Outcomes:<ul><li>Drive more sound and robust modeling practices by thoughtful review and assessment with advanced analytical techniques</li><li>Demonstrate quality of model risk management by effective challenge and thorough documentation</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&nbsp;</li></ul>2.&nbsp;&nbsp;&nbsp;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 the existing models</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&nbsp;</li></ul>Past Experience:<ul><li>Preferred 5+ years’ experience in Capital planning (CCAR) modeling and/or model risk management, with a GSIB</li></ul>Academic Background:<ul><li>MBA, Master’s Degree in Engineering, 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>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 Python, Py Spark etc. is a must have.</li><li>Data Science/Traditional Modeling, Expertise in Coding, decision trees, Gaussian processes, Bayesian models, Gradient Boosting, Understanding of finance and valuation concepts.</li></ul>Behavioral Skills/Capabilities: Enterprise Leadership Behaviors<ul><li>Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective</li><li>Bring Others with You: Build the Best Team, Seek &amp; Provide Coaching Feedback, Make Collaboration Essential</li><li>Do It the Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue Box Values, Great Leadership Demands Courage</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.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.*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. 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>

Director-Data Science

American Express Company seeks Directors, Data Science to lead a team responsible for developing, implementing, and tracking AI/ML models for driving digital personalization in prospect marketing, automating data capability and model governance. Drive the next generation of innovations in marketing predictive models with a focus on researching and developing newer and better models using best in class big data and machine learning solutions. Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment. Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences. Work with product owners to revolutionize the product and content design with a data-driven approach. Collaborate with tech partners to test, implement, deploy and ensure accurate and efficient implementation of modeling solutions to production system. Leverage the power of closed loop through Amex network by collaborating with cross-functional teams to make decisions more intelligent and relevant. Oversee model governance and ensure model adhere to regulatory frameworks standards.Position requires a Master’s degree in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience developing and implementing predictive models for prospect personalization marketing using large datasets in the financial services industry. Experience must include 2 years of experience with: leveraging sophisticated analytical and machine learning techniques; applying marketing data science and machine learning within the financial industry; developing and managing the lifecycle of predictive models for marketing, from research and design to implementation, performance monitoring, and retraining; statistical and data mining techniques, including predictive analytics, deep learning, and boosting; framing complex business problems into mathematical programming problems to engineer solutions and deliver business insights; providing senior leadership with data-driven insights to inform critical business decisions; analytical languages, including Python and Spark; databases, including Hive, Hadoop, and SQL; model validation and model risk management with governance, compliance and auditing in a regulated finance industry; and cloud platforms, including AWS and Google Cloud. Telecommuting is available up to 2 days per week.Job Location: New York, NY Salary Range: $150,000.00 to $225,000.00 annuallyWe 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: ·Competitive base salaries ·Bonus incentives ·6% Company Match on retirement savings plan ·Free financial coaching and financial well-being support ·Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp; ·20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy ·Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) ·Free and confidential counseling support through our Healthy Minds program&nbsp; ·Career development and training opportunities For a full list of Team Amex benefits, visit our&nbsp;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. 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:&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a> The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location. #LI-DNI

Directors, 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 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 critical for the success of the organization. The Sales Enablement team is instrumental in driving these objectives. The Sr. Analyst will play a critical role in supporting the development of growth and data-driven strategies to improve portfolio performance and drive execution. This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, and Finance teams to drive growth in the sales organization.&nbsp;<ul><li>Data Science Projects: Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise in machine learning, Natural Language Processing (NLP), and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors.&nbsp;</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 frameworks like TensorFlow, PyTorch, Transformers, etc., focusing on scalability, performance, and interpretability. </li><li>Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Have outstanding knowledge of Hive, SQL, and Python encompassing data manipulation and statistical modeling/data-mining techniques; Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities. </li><li>Collaborate Across Teams: Establish and maintain close relationships with key cross-functional stakeholders 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 and programming languages like Python, Spark, etc. </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 Effectively: Present findings, recommendations, and results effectively 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>Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)</li><li>Strong analytical and conceptual thinking acumen </li><li>Familiarity with machine learning libraries and frameworks (e.g., Tensorflow, PyTorch, NLTK, scikit-learn) and experience applying algorithms to real-world business problems.</li><li>High proficiency in Python/SQL</li><li>High 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>Demonstrable 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>Proven track record of developing analytical solutions optimizing business processes</li><li>Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills</li><li>Ability to deliver results, work independently, and prioritize tasks</li></ul>Preferred Qualifications:<ul><li>Master's Degree in a quantitative discipline</li><li>Experience with NLP</li><li>Proficiency in CRM tools, Salesforce, or statistical software programs</li><li>Experience with Hadoop and Spark is a plus</li></ul>Salary Range: $55,000.00 to $105,000.00 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.

Senior Analyst - Data Science

Position Title: Laboratory Technician (Physical Science) Department: Physical Science (PHS) Division: Mathematics and 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; Employee Status: Continuous Part-time (up to 25 hours/week) Working Hours: Monday - Friday, Daytime and Evening Group: Support Staff Association (SSA UNION)&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;&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; Grade: 9 Salary Range: ($19.11 - $21.00 hourly) FLSA: Non-exempt Revised: 05/2025 ________________________________________________________________________________ Reporting Relationships Reports to: Dean of Mathematics and Sciences Closely Partnered with: Physical Sciences Laboratory Manager Supervision Exercised: Supervision may be exercised over student workers Job Summary Perform specialized chemical lab duties as required using knowledge from a chemistry education and the experience level required for this position. These duties include the determination and preparation of the proper concentrations of a variety of chemical solutions and the best packaging and placement for students’ safe usage. Also required is the setup and removal of laboratory equipment for the student exercises, experiments and faculty demonstrations for the chemistry labs. Prepare and store all chemicals and solutions in a safe manner as to meet state OSHA requirements. Work closely with the faculty and full-time laboratory manager to identify and mitigate laboratory safety hazards. Excellent communication and organization skills are a must.&nbsp; Essential Duties and Responsibilities include the following. Additional related duties may be assigned.<ul><li>Prepare materials and anticipate prompt setup and take down of those items and resources needed for the chemistry labs to operate appropriately, including experiments and lab practicals.</li><li>Prepare stock solutions and unknowns using analytical equipment (including but not limited to burette hand titration and serial dilution). Familiarity with IR and GC operations preferred.</li><li>Provide laboratory solutions and chemicals in appropriately labeled containers and in amounts suitable for student use and to reduce waste and contamination.</li><li>Maintain and restock general laboratory utility equipment as necessary for student use.</li><li>Maintain and restock scientific and analytical instrumentation support materials and report low stock to full-time laboratory manager for re-ordering.</li><li>Repair breakdowns of small equipment (drawer locks), and facilitate glass waste removal.</li><li>Perform daily maintenance and rudimentary cleaning of equipment and countertops in student laboratories and storage rooms to ensure a safe and clean work environment.</li><li>Maintain a safe and logically ordered laboratory storage room.</li><li>Store chemicals in recommended cabinets or shelving by groups of compatibility.</li><li>Clean and wash laboratory equipment and glassware which has been cleaned improperly by the students after their use.</li><li>Assist the full-time Laboratory Manager in ordering chemical supplies using Colleague and assorted vendors as needed.</li><li>Assist in maintaining the chemical inventory database of all chemicals in stock. This must be updated at a minimum of annually.</li><li>Assist in updating the computer database of experiment setup sheets. This must be updated at the close of each semester to keep abreast of all changes.</li><li>Assist in coordinating laboratory check-in and check-out procedures.</li><li>Request maintenance service for needed items through email to the Dean who will submit a ticket to Plant Operations and Maintenance or IT.</li><li>Conduct informational tours for prospective students as needed.</li><li>Assist in providing for the safe storage of in-house generated hazardous wastes. Maintain ongoing inventory lists as these wastes are generated.</li><li>Possess the ability to prioritize and organize work effectively, to work with minimal supervision, and to develop and maintain effective working relationships with faculty and the full-time lab manager.</li><li>Use tact and courtesy, and establish and maintain effective relationships with persons contacted in the course of work.</li><li>Regular attendance is expected and mandatory to employee success. This is a twelve-month position. Hours may change on a semester basis to accommodate scheduled labs.</li></ul>Qualifications 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. Minimum Qualifications Bachelor’s degree in life science or physical science (preferred) or Bachelor’s degree in Education or related field with a major in Chemistry; must have minimum 20 hours total, including both chemistry and physics.&nbsp;Other qualifications include working knowledge of: adherence to proper laboratory safety practices and procedures, computers and software, analytical instrumentation operation and maintenance, spreadsheets and databases. The successful candidate must have the desire and ability to interact positively with all Physical Science faculty (Chemistry, Physics, Geology, and Physical Geography). &nbsp; Work Environment While performing the duties of this job, the employee works indoors. &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. Application Process Applicants are encouraged to submit their materials electronically at <a href="http://www.rockvalleycollege.edu/employment" target="_blank">http://www.rockvalleycollege.edu/employment</a>. Application review will begin July 6, 2025.&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

Rock Valley College

Laboratory Technician (Physical 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;

7 Natural and Environmental Sciences Full Time Jobs