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American Express Travel Related Services Company, Inc. seeks Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity.Use machine learning techniques to improve forecasts and produce business insights.Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools.Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals.Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field, and 1 year of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory;researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; data visualization tools; database queries, including SQL, Teradata, and HiveQL; and machine learning techniques, Python, R, and SAS. Telecommuting is available up to 2 days per week.Job Location: New York, NYSalary Range: $111,966.00 - $165,000.00 annuallyWe back our colleagues and their loved ones with benefits and programs that&nbsp;support their holistic well-being. That means we prioritize their physical, financial,&nbsp;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&nbsp;for pregnancy, adoption or surrogacy · Free access to global on-site wellness centers staffed with nurses and doctors&nbsp;(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&nbsp;decisions without regard to race, color, religion, sex, sexual orientation, gender&nbsp;identity, national origin, veteran status, disability status, age, or any other status&nbsp;protected by law. American Express will consider for employment all qualified&nbsp;applicants, including those with arrest or conviction records, in accordance with the&nbsp;requirements of applicable state and local laws, including, but not limited to, the&nbsp;California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for&nbsp;Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.&nbsp;For positions covered by federal and/or state banking regulations, American Express&nbsp;will comply with such regulations as it relates to the consideration of applicants with&nbsp;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

American Express

Managers, 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 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.Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance, and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds in 2025. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include:&nbsp;<ul><li>Identify opportunities to build models to predict, and/or detect process breakdown&nbsp;</li><li>Build/enhance machine learning algorithm to apply to customer complaints / chats to identify operational breakdown and remediate at earliest time possible</li><li>Lead a R&amp;D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks </li><li>Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping</li><li>Manage the development and maintenance of analytical / statistical algorithm that is currently used to detect out-of-pattern trend</li><li>Communicate the technical algorithm to diverse partners</li><li>Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights</li><li>Collaborate with Data Engineers, to implement the novel ML algorithms in production</li></ul>Minimum Qualifications<ul><li>Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-7+ years of working experience driving business results</li><li>Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy</li><li>Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects</li><li>Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus</li><li>Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent)</li><li>Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent)</li><li>Experience in building NLP solutions and/or GEN AI are strongly preferred</li><li>Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.</li><li>Team player with strong relationship building, management and influencing skills</li><li>Strong verbal and written communication skills</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Manager-Data Science

American Express Travel Related Services Company. Inc. seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. Lead the provision of credit-related analytical support, and develop and present key analyses and recommendations to management. Serve as the decisionmaker for developing analytics that identify trends and opportunities in the portfolio in order to optimize business and risk decisions. Own specific data assets and applications, ensuring the team’s use of data science tools, when troubleshooting issues, reconciling results, identifying improvements and automation opportunities, and training other users to drive adoption.Position requires a Master’s degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering (any), or a related field, and 2 years of experience with risk management and risk analysis experience. Experience must include 2 years of experience with each of the following: credit risk data from credit bureaus and internal credit source, source systems, and data management processes; providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies; working with professional teams in multiple geographies; data analysis and transforming credit and risk capabilities using Big Data technologies, including Pig, Hive, and R;&nbsp; 2 years of experience with linear regression models, logistic regression models, and advanced machine learning models, including kNN, and GBM techniques; and 2 years of experience with Base SAS, SAS Enterprise Guide, SPSS, SQL, and Teradata. Telecommuting available up to 2 days per week.Job Location: New York, NY &nbsp;&nbsp;Salary Range: $150,000.00 - $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:<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>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&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

You Lead the Way. We’ve Got Your Back.At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way.When you join Team Amex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Here, you’ll learn and grow as we champion your meaningful career journey with programs, benefits, and flexibility to back you personally and professionally. Every colleague shares in the company’s success.Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to our customers, communities, and each other every day. And, we’ll do it with integrity and in an environment where everyone is seen, heard and feels like they truly belong.Join #TeamAmex and let’s lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.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 International 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 preferred</li><li>Proficiency in Python, SQL or Hive</li><li>Python/R skills strongly preferred</li><li>Statistical/Predictive modeling knowledge and experience strongly preferred</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>Please note, Salary increases in case of a lateral move are provided only on an exception basis and in line with compensation guidelines.</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>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions

Manager - Data Science

American Express Company seeks Senior Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity. Use machine learning techniques to improve forecasts and produce business insights. Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals. Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Cognitive Science, or a related field, and 1 year of experience with applying statistical and econometric modeling techniques. Experience must include 1 year with each of the following: applying quantitative, mathematical, and statistical concepts and data processing techniques, including linear and logistic regression, time series analysis, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; applying advanced predictive analytics; database queries, including SQL; using regular expression for text data; and with A/B testing analysis, AWS, Bash, conditional probability distribution, deep learning techniques, GIT, machine learning techniques, PySpark, Python, nonparametric hypothesis testing, and R. Telecommuting is available up to 2 days per week.Job Location: New York, NY &nbsp;&nbsp;Salary Range: $111,966.00 - $165,000.00 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:<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>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&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

Senior Managers, Data Science

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

Senior Data Scientist

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