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Information Technology Senior Management Forum

<div><div>Posted Date
9/15/2025
</div><div>Description
<div>Senior Data Scientist, AI Foundations
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul>
The Ideal Candidate is:<ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science 

San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Data Scientist, AI Foundations
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul>
The Ideal Candidate is:<ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science 

San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
145,100.00 - 165,600.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Data Scientist, AI Foundations

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Data
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<ul><li><div><div><div><div>Role Description: As a Strategic Data Scientist, you will own the end-to-end design, development, and production deployment of advanced AI and data-driven solutions. You&rsquo;ll build scalable machine-learning models with large, heterogeneous datasets to solve complex business challenges and provide proactive, data-driven guidance to our Customer Success organization.
Key Responsibilities:
Collaborate with customer success, product, engineering, and sales teams to define KPIs and analytical approaches that answer key business questions
Design, build, and deploy machine learning and AI models (classification, regression, NLP, recommendation engines, etc.) to identify at-risk customers, predict attrition, and assess impact of product offerings
Develop customized recommendation engines that suggest next-best actions for customers (collaborative filtering, content-based, hybrid, graph-based techniques, etc.)
Drive the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, testing, and automated retraining workflows
Architect high-performance data pipeline for massive, multi-source datasets (streaming, batch, semi-structured), ensuring optimal storage, fast query performance, and high data integrity in hybrid cloud environments
Monitor production model performance by tracking key metrics like accuracy, drift, and latency. Leverage A/B testing and establish feedback loops to drive continuous improvement and rapid iteration
Support translation of strategic direction into analytical problems and actionable data science initiatives, ensuring data science alignment with organizational goals and long-term vision
Present clear, actionable insights and technical roadmaps to technical and non-technical stakeholders at all levels 
 
Collaborative Partners:
Customer Success Leadership: define priority use cases and success metrics for AI-driven initiatives
Product &amp; Engineering: embed data-science solutions into product features and roadmaps
Data Platform &amp; MLOps: utilize internal infrastructure for data access, orchestration, and scalable deployments
Business Operations &amp; Finance: validate model assumptions, quantify ROI, and support strategic planning 
 
Role Requirements:
Education: Bachelor&rsquo;s or Master&rsquo;s in quantitative field such asData Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
Experience: 2&ndash;5 years of hands-on experience building and deploying machine-learning solutions&mdash;especially recommender systems&mdash;in a SaaS or customer-facing environment
Technical Proficiency: Proficient in Python (or R) and ML frameworks (scikit-learn, TensorFlow, PyTorch); expertise with data tools (SQL, Spark, Airflow) and cloud platforms (AWS, GCP, Azure)
AI &amp; Next-Gen Models: Demonstrated experience with embedding techniques, transformer-based models, and graph ML for large-scale recommendations
Business Acumen: Strong analytical mindset; able to translate model outputs into clear business recommendations and track impact through defined KPIs
Communication &amp; Influence: Excellent at distilling complex technical concepts for non-technical audiences and driving alignment across teams
Self-Starter: Thrives in ambiguous environments; owns projects end-to-end and iterates based on feedback 
 
Preferred Qualifications:
Enterprise-Scale Recommenders: Previous hands-on experience building and scaling recommender systems at major technology platforms
Top-Tier Consulting Background: Prior experience at a leading strategy firm with demonstrated ability to translate complex analysis into clear recommendations
LLM Proficiency: Hands-on experience leveraging large language models (e.g., GPT-4) for data augmentation, prompt engineering, or analytics automation
Advanced AI Use Cases: Proven track record of applying cutting-edge techniques&mdash;transformer fine-tuning, embedding retrieval, graph neural networks&mdash; to build production recommender or decision-support systems
</div></div></div></div></li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
For New York-based roles, the base salary hiring range for this position is $172,000 to $236,500.</div>

Strategic Data Science, Manager

Uber

<div>About the Role
 
 
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
 
 
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
 
 
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
 
 
About the Team
 
 
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
 
 
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
 
 
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
 
 
What You'll Do
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul>Basic Qualifications
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul>Preferred Qualifications
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

American Express

<div>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?
This role will develop credit loss models for estimating CECL credit reserves for US portfolios, which feeds into AXP credit provision calculation and reporting. The role will play an important role in improving model accuracy, strengthening model governance, and quantifying reserves for emerging credit risks. The role also partners closely with Risk Finance, Controllership, Data Strategy and MRMG teams, on all aspects of credit reserve modeling and analytics.
Key Responsibilities:
<ul><li>This person is expected to work on CFR Global Decision Science and is responsible for:
</li><li>Development of modeling framework to meet the credit reserve standards set by the Financial Accounting and Standards Boards (FASB) and the International Accounting Standards Boards (IASB).
</li><li>Development and enhancement of loss forecasting models for credit and charge card portfolios.
</li><li>Perform quantitative analysis to evaluate multiple alternatives to generate insights and derive recommendations.
</li><li>Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.
</li></ul>Experience and Background:
<ul><li>The successful candidate should possess strong analytical and problem-solving skills and a tremendous will to win.
</li><li>Fluency with data manipulation tools like Python, PySpark or SQL plus experience in data-driven decision making strongly preferred
</li><li>Previous model development experience is desirable.
</li><li>Ability to apply advanced statistical and/or other quantitative techniques to solve business problems.
</li><li>Excellent verbal, written, and interpersonal communication skills are a plus.
</li><li>Ability to work with cross-function teams to solve complex business problems
</li><li>Advanced quantitative degree is preferred
</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;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
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</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&rsquo; 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 &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</div>

Manager - Data Science

Berkshire Hathaway GUARD Insurance Companies

<div>Overview:
<div>
Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property &amp; Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ &ldquo;Superior&rdquo; by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett&rsquo;s Berkshire Hathaway group &ndash; one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.</div><div></div><div> 
Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company&rsquo;s success is grounded in our core values: accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!</div><div></div><div> 
Benefits:</div><div>
We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You&rsquo;ll be surprised by all we have to offer!</div><ul><li>
Competitive compensation</li><li>
Healthcare benefits package that begins on first day of employment</li><li>
401K retirement plan with company match</li><li>
Enjoy generous paid time off to support your work-life balance plus 9 &frac12; paid holidays</li><li>
Up to 6 weeks of parental and bonding leave</li><li>
Hybrid work schedule (3 days in the office, 2 days from home)</li><li>
Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation)</li><li>
Tuition reimbursement after 6 months of employment</li><li>
Numerous opportunities for continued training and career advancement</li><li>
And much more!</li></ul>
Responsibilities:

We are hiring a hands-on Data Engineer to build trustworthy, well governed data products and turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You&rsquo;ll context switch comfortably between data &amp; analytic engineering and meeting with business stakeholders to understand their processes and needs.
Key Responsibilities:<ul><li>
Collaborate closely with cross-functional teamsl; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
</li><li>Model and publish curated, analysis ready datasets, semantic models in Power BI or analytics delivery that illuminate small commercial metrics.</li><li>
Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges.</li><li>
Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost.</li><li>
Follow and implement documentation standards, governance and data quality controls across datasets.</li><li>
Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability.</li><li>
Document technical architecture and workflows with clear diagrams and runbooks to accelerate onboarding and reduce operational risk.</li></ul>
Qualifications:

Qualifications:<ul><li>
Bachelor&rsquo;s degree in computer science, information technology, or a related field.</li><li>
2-4 years of experience in data engineering or a related role.</li><li>
Proficiency in Microsoft Fabric a plus.</li><li>
Exposure to Azure DevOps (ADO) and CI/CD practices.</li><li>
Strong SQL, Python and data modeling skills.</li><li>
Experience with cloud platforms, preferably Azure.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and collaboration abilities.</li></ul> 
Preferred Skills:<ul><li>
Experience with big data technologies such as Hadoop, Spark, or Databricks.</li><li>
Knowledge of data warehousing concepts and tools.</li><li>
Familiarity with programming languages such as Python or Scala.</li><li>
Understanding of data security and compliance requirements.</li></ul> 
Salary Range:
$65,000 &ndash; $125,000 
<div>The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.</div><div></div><div> 
The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.</div></div>

Data Engineer

NYU Langone Health

<div><div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
Position Summary: 
We have an exciting opportunity to join our team as a Data Analyst.
 
 
The Data Analyst will work directly with Dr. Lauren Taylor, in the Division of Healthcare Delivery Science. We are seeking a qualified Data Analyst to provide support for data management and analyses across the Dr. Taylor's federally sponsored projects. The Data Analyst will be responsible for planning, designing, and implementing statistical analyses. A successful applicant will be able to work autonomously and comfortably in an academic medical center environment.
Job Responsibilities:<ul><li>
Provide technical assistance to analysts and researchers in accessing and analyzing datasets, as needed</li><li>
Maintain existing data collection and analysis systems in support of the research protocol</li><li>
Under direct supervision by the Division Director and with the guidance of the team's lead biostatistician, conduct basic statistical analyses and present them to the team</li><li>
Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting lit reviews and creating tables and other data visualizations for presentations</li><li>
Work with staff and others to facilitate automation of standard, recurrent data acquisition, management, analysis and reporting</li><li>
Design and conduct analyses pertaining to data acquired thorough various data sources</li><li>
Create descriptive data summaries including visualizations and written descriptions of data findings for a wide range of audiences</li></ul>
Minimum Qualifications: 
To qualify you must have a Masters degree in health care economics, health care policy, applied statistics, data science, biostatistics or a Bachelors degree with relevant work experience; Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 years of work experience and/or research experience in a relevant setting; Ability to select and apply appropriate statistical methods for collecting and summarizing varied data; Excellent organization, time management, and communication skills and the ability to work both independently and as part of a collaborative research team
Preferred Qualifications: 
1. Knowledge of principles and methods of biostatistics; principles, theories, and procedures of epidemiology, including study design, statistical analysis, and causal inference; 2. Appropriate computer processing methods used to generate, organize and display statistical and research data; and standard English grammar, spelling, and usage; 3. Strong attention to detail; 4. Problem-solving and critical thinking skills; 5. Planning/organizational skills; 6. Personal motivation
Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $32,175.00 - $39,748.80 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div></div>

Data Analyst

Willdan

<div>Willdan Lighting and Electric (WLE), a subsidiary of Willdan, is seeking a Data Analyst to work on our energy efficiency programs in New York. The Data Analyst will develop and support program tools/automations as well as database efforts. Duties will include working under the direction of our Data Manager on special projects and on maintaining existing projects in a sales/service organization. The selected candidate will be a key member of the WLE energy efficiency execution team and will be responsible for staff performance and program accomplishments in assigned sectors. They will be contributors to the refinement of program strategies and innovations with management.
Essential Duties and Responsibilities<ul><li>
Design and develop tables, views, stored procedures, indexes, functions, dictionaries, and complex ad- hoc queries for SQL Server databases.</li><li>
Design and develop user interfaces using AngularJS best practices.</li><li>
Work with client and management team to prioritize business and reporting/data needs.</li><li>
Translate client requested features into technical requirements.</li><li>
Exercise critical thinking to identify opportunities to reduce manual processes through automation.</li><li>
Communicate/coordinate with team to ensure proper implementation of company standards and procedures.</li></ul><div><div>
Job Requirements / Qualifications</div><ul><li>
3+ years of experience with Microsoft SQL server, including table structuring, creating queries and stored procedures.</li><li>
2+ years of development experience with object-oriented languages.</li><li>
Proficiency in Angular framework.</li><li>
Proficiency in advanced Microsoft Excel and Visual Basic for Applications (VBA) including creating/editing macros.</li><li>
Bachelor's on computer science, mathematics, engineering or related field.</li><li>
Good communication skills &ndash; both written and oral.</li><li>
Must be able to work independently, and in team environments.</li></ul></div>
EEO Non-Discrimination and ADA Reasonable Accommodation Statement 
Willdan is an equal opportunity employer. Applicants are considered for all positions without regard to race, religious creed, color, age marital status, sex, sexual orientation, gender identity, gender expression, citizenship status, national origin, ancestry, religion, military service or veteran status, disability, medical condition, childbirth and related medical conditions, genetic testing, reproductive status or any other classification protected by federal, state or local laws and ordinances. Willdan does not discriminate on the basis of physical or mental disability where the essential functions of the job can be reasonably accommodated. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. If you need reasonable accommodation for any part of the application and hiring process, please notify us.
Willdan Lighting &amp; Electric participates in E-Verify.</div><div></div>

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