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manager data science

American Express

<div><p>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.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><p><b>How will you make an impact in this role?
</b></p><p>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.
</p><p><b>Key Responsibilities:
</b></p><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><p><b>Experience and Background:
</b></p><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><p></p><p>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits
</p><p>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.
</p><p>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:
</p><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><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>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.
</p><p>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.
</p><p>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
</p><p>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</p></div>

Manager - Data Science

<p></p><div><p>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&rsquo;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.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><p>How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you&rsquo;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.
</p><p><b>How will you make an impact in this role?
</b></p><p>The Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
</p><p><b>Responsibilities:
</b></p><p>The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include:
</p><ul><li>Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
</li><li>Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact
</li><li>Communicating results to partners, senior leadership and various model committees
</li><li>Critical Factors to Success:
<ul><li>Business Outcomes:
<ul><li>Drive billing, revenue growth and profitability through advanced analytical techniques
</li><li>Maximize business returns by institutionalizing efficient and accurate models.
</li><li>Innovate modeling techniques and variable creation
</li><li>Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
</li></ul></li><li>Leadership Outcomes:
<ul><li>Put enterprise thinking first, connect the role&rsquo;s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.
</li><li>Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
</li><li>Demonstrate learning agility, make decisions quickly and with the highest level of integrity
</li><li>Lead with a digital mindset and deliver the world&rsquo;s best customer experiences every day
</li></ul></li></ul></li></ul><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's required In Economics, Statistics Or Related Fields
</li><li>Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have
</li><li>Hands-on model development or validation experience.
</li><li>Strong Analytical and Relationship and project management skills for driving validation initiatives.
</li><li>Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
</li><li>Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
</li><li>Effectively communicating complex Analytical results to Business Partners and Senior Management.
</li><li>Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Master's degree preferred.
</li><li>Preferred 4+ years experience in analytics or big data workstreams
</li><li>Experience with NLP / NLU model and chatbot frameworks would be preferred.
</li><li>Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
</li></ul><p>Guardian
</p><p>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits
</p><p>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.
</p><p>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:
</p><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><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>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.
</p><p>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.
</p><p>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
</p><p>*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.</p></div>

Manager-Data Science

Simons Foundation

<div><div>The Simons Foundation is seeking a Digital Analytics and Insights Analyst who will play a pivotal role in transforming raw data into actionable insights, driving data-driven decision-making across the foundation's digital properties, with a specific focus on web products. This role requires a minimum of three years of experience in analytics, particularly with web analytics platforms and a strong understanding of user behavior on digital platforms. The analyst will be responsible for collecting, analyzing, and reporting on key performance indicators (KPIs), identifying trends, and providing strategic recommendations to optimize user experience, content strategy, and overall digital engagement.</div><div></div><div>
This position will report to the Director of Digital Technology.</div><div></div><div>
This is a full-time position located on-site at the Simons Foundation office in New York City. For more information, visit simonsfoundation.org/careers.</div><div></div><div>
ESSENTIAL FUNCTIONS/RESPONSIBILITIES</div><div><br>
Data Collection &amp; Management:</div><ul><li>
Oversee and manage data collection from various web analytics platforms (e.g., Google Analytics 4, Google Tag Manager)</li><li>
Ensure data accuracy, consistency, and completeness across all digital properties</li><li>
Collaborate with the Digital Technology team to implement and maintain analytics tracking codes and infrastructure</li></ul><div></div><div>
Data Analysis &amp; Reporting:</div><ul><li>
Conduct in-depth analysis of web traffic, user behavior, conversion funnels, and content performance</li><li>
Develop and maintain comprehensive dashboards and reports for various stakeholders, highlighting key trends, insights, and actionable recommendations</li><li>
Translate complex data into clear, concise, and compelling narratives for non-technical audiences</li><li>
Perform ad-hoc analysis to answer specific questions and support strategic initiatives</li></ul><div></div><div>
Strategic Insights &amp; Recommendations:</div><ul><li>
Identify opportunities for website optimization, A/B testing, and personalization based on data analysis</li><li>
Provide strategic recommendations to improve user engagement, content effectiveness, and achieve organizational goals</li><li>
Collaborate with cross-functional teams (e.g., UX/UI, editorial, technology) to integrate data insights into roadmaps and strategic planning</li><li>
Stay up-to-date with industry best practices and emerging trends in web analytics</li></ul><div></div><div>
Collaboration &amp; Communication:</div><ul><li>
Act as a subject matter expert on web analytics within the foundation</li><li>
Train and educate internal stakeholders on analytics tools and data interpretation</li><li>
Foster a data-driven culture by promoting the use of insights in decision-making</li><li>
Perform any other duties or tasks as assigned or required</li></ul><div></div><div>
MINIMUM QUALIFICATIONS</div><div></div><div>
Education</div><ul><li>
Bachelor&rsquo;s degree or equivalent experience</li></ul><div></div><div>
Experience</div><ul><li>
Minimum of 3 years of experience in an analytics role, with a strong focus on web products and digital analytics</li><li>
Experience with data visualization tools (e.g., Looker Studio, Tableau, Power BI) is essential</li><li>
Experience with SQL or other querying languages for data extraction and manipulation is a plus</li></ul><div></div><div>
Related Skills &amp; Other Requirements</div><ul><li>
Proficiency in Google Analytics 4 (GA4) and Google Tag Manager (GTM) is essential</li><li>
Strong analytical and problem-solving skills with the ability to interpret complex datasets and draw actionable conclusions</li><li>
Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical audiences</li><li>
Demonstrated ability to work independently and collaboratively in a fast-paced environment</li><li>
Knowledge of A/B testing methodologies and optimization strategies</li><li>
Understanding of digital marketing concepts (SEO, SEM, social media) and their impact on web analytics is a plus</li></ul><div></div><div>
REQUIRED APPLICATION MATERIALS</div><ul><li>
Please submit a r&eacute;sum&eacute; and cover letter stating your interest in the position.</li></ul><div></div><div>
COMPENSATION AND BENEFITS</div><ul><li>
The range for full-time annual compensation range for this position is $90,000-$115,000, depending on experience.</li><li>
In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.</li></ul><div><br>
Our Commitment to Expanding Pathways to Science &amp; Opportunities for All:<br>
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. Aspart of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.</div><div></div><div>
The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.</div></div>

Digital Analytics & Insights Analyst

Integral Ad Science

<div><p>Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality.</p>
<p>
We are seeking a Senior Staff Product Manager to lead our Fraud and Ad Quality team. This team owns our ad fraud and ad quality technology that enables advertisers to measure and avoid trafficking their campaigns on sites and apps known to have invalid traffic (IVT) or low quality content that is a waste of ad spend.</p>
<p>
This leader will work at the intersection of emerging tech, the complex advertising business domain, and IAS&rsquo;s unique market position and strengths to bring innovative solutions to customers and the market. The ideal candidate thrives in ambiguous, fast-moving environments where they can define clear problem statements, develop innovative solution ideas, and drive execution in collaboration with engineering and commercial partners. This is a high-impact role requiring strong vision, decision-making, strategic prioritization, and stakeholder alignment at a leadership level. This role requires technical literacy to engage in emerging technology and debate architectural decisions.</p>
<p><b>
What you&rsquo;ll get to do:</b></p>
<ul>
<li>Define the product strategy, roadmap, and go-to-market <b>for the Fraud and Ad Quality team</b></li>
<li>Define and drive execution of Fraud product strategy through close collaboration with Engineering, Data Science, Business Development, and our Commercial team</li>
<li>Become the go-to leader for all products related to Fraud including our <b>data science ML/AI models and fraud measurement and optimization product</b>s</li>
<li>Collaborate with BD across various data partners</li>
<li>Market research on trends in fraud and other ad quality areas such as made-for-advertising (MFA)</li>
<li>Work with development teams and peers to oversee the planning, design, and development from initiation decision through release and future iterations</li>
<li>Work with Product Marketing on value propositions, positioning, promotions, and sales programs to help evangelize new and existing solutions</li>
<li>Develop strong, positive relationships with Product team members, Engineering, Data Science counterparts, and Business stakeholders building IAS&rsquo;s best-in-class portfolio of product offerings</li>
<li>Be a visible advocate and evangelist for your products internally and externally</li>
</ul>
<p><b>You should apply if you have most of this experience:</b></p>
<ul>
<li>12+ years of product management experience in fast-moving B2B SaaS environment</li>
<li>Must have AdTech or related industry experience with a strong understanding of the digital advertising ecosystem</li>
<li>Ad fraud, ML/AI, and data science experience a strong plus</li>
<li>Bachelor&rsquo;s degree in Engineering or a STEM related field</li>
<li>Strong ability to navigate ambiguous, high-growth environments where proactive decision-making and execution drive impact</li>
<li>Experience working on new tech products where you engage in product/feature architecture decisions</li>
<li>Proven ability to collaborate with engineering leads and hold teams to a high standard for product solutions, identifying when technical design decisions may limit performance, scalability, or future innovation</li>
<li>Experience driving adoption of innovative solutions, making features accessible and coordinating marketing and sales to drive customer acquisition, leveraging product signals and data-driven decision-making</li>
<li>Proven ability to drive execution and strategy simultaneously, making clear priority decisions and aligning stakeholders across the business</li>
<li>Exceptional stakeholder management and communication skills, with a track record of collaborating cross-functionally with engineering, commercial teams, and leadership</li>
</ul>
<p><i>New York Applicants: The salary range for this position is $208,600 - $357,600. Actual pay may vary based on experience or geographic location.</i></p>
<p><b>
About Integral Ad Science</b></p>
<div>
<p>Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality.</p>
<p>
Integral Ad Science offers a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans including employee stock purchase plans and other equity based bonuses.</p>
</div>
<p><b>Equal Opportunity Employer:</b></p>
<p><i>
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.</i></p>
<p><b>
California Applicant Pre-Collection Notice:</b></p>
<p><i>
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.</i></p><br>
<p></p>
<p><i>
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.</i></p>
<p><i>
#LI-Hybrid</i></p></div>

Senior Staff Product Manager - Fraud

Willdan

<div><p>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.</p><p><b>
Essential Duties and Responsibilities</b></p><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><b>
Job Requirements / Qualifications</b></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><p><b>
EEO Non-Discrimination and ADA Reasonable Accommodation Statement</b><br>
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.</p><p>
Willdan Lighting &amp; Electric participates in E-Verify.</p></div><div></div>

Data Analyst

Mount Sinai Health System

<div><b>Description</b><p><b>
This position is Onsite/Hybrid - currently 1 day a week onsite</b></p><p><b>
Location: 150 E 42nd Street location. Prefer candidates that reside in tri-state area NY, NJ, CT or a commutable distance to meet onsite/hybrid requirements for this position.</b></p><p><br>
The Product Manager - AI is a key leadership role responsible for defining, prioritizing, and delivering AI-driven solutions to optimize clinical effectiveness and improve patient safety across hospitals and diverse care settings. This role will lead the deployment and operationalization of AI products in collaboration with cross-functional stakeholders, including clinicians, operational leaders, data scientists, engineers, and compliance teams. The Product Manager will ensure these products deliver measurable impact, meet regulatory and ethical standards, and integrate seamlessly into clinical workflows.</p><b><br>
Responsibilities</b><ul><li><b>
Identify AI Product Opportunities</b><br>
o Conduct workflow analysis, stakeholder interviews, and data reviews to define and prioritize opportunities<br>
o Translate clinical requirements into AI product specifications and success metrics</li><li><b>
Oversee AI Product Lifecycle</b><br>
o Lead product vision, strategy, and roadmap for AI solutions from concept to implementation<br>
o Collaborate with data science and engineering teams to develop and validate models, ensuring compliance with institutional policies and regulatory requirements<br>
o Partner with clinical and operational leaders to ensure seamless integration into hospital and care setting workflows</li><li><b>
Launch and Operationalize AI Products</b><br>
o Develop adoption and change management plans to support clinician engagement and sustained use<br>
o Ensure deployment aligns with clinical workflows, DTP infrastructure, and patient safety protocols</li><li><b>
Demonstrate Impact</b><br>
o Define KPIs for safety, quality, efficiency, and adoption; measure ROI<br>
o Prepare business cases and assurance reports for leadership and governance committees.<br>
o Drive ongoing stakeholder engagement to sustain product effectiveness.</li><li><b>
Manage Stakeholders and Governance</b><br>
o Serve as the primary point of contact for AI product governance, including compliance, risk, and assurance activities.<br>
o Build cross-functional coalitions, seek feedback, and drive decision-making.<br>
o Participate in institutional AI governance committees and working groups.</li><li><b>
Other responsibilities: </b>This role involves ambiguous, complex problem solving and will require flexibility in the scope of responsibilities. Other responsibilities include, but are not limited to, becoming a subject matter expert on various product, operational, and technical domains, participating in governance committees and working groups, and executing diverse initiatives</li></ul><br>
<b>
Qualifications</b><div><b>
Minimum Education</b><br>
Bachelor&rsquo;s degree; Master&rsquo;s in Healthcare, Data Science, or related field preferred<br>
<br>
<b>Minimum Related Experience</b><br>
<ul><li>Four or more years of related experience</li><li>Background in analytical and strategic roles</li><li>Familiarity with EHR systems, healthcare interoperability, and clinical workflows.</li><li>Technical, design, and data fluency preferred</li><li>Understanding of healthcare preferred</li></ul></div><p><b><br>
Desired Qualities:</b></p><ul><li><b>
High-agency</b>: Strong sense of ownership, accountability, and urgency in delivering AI products that make a real-world clinical impact.</li><li><div><b>
Healthcare AI expertise</b>: Understanding of machine learning/AI development, deployment, and monitoring in clinical settings.</div></li><li><div><b>
Results-oriented</b>: Committed to measurable improvements in patient safety, care quality, and operational efficiency.</div></li><li><div><b>
Effective communicator</b>: Able to explain complex AI concepts and clinical workflows to diverse audiences, including executives and frontline clinicians.</div></li><li><div><b>
Advanced social-emotional skills</b>: Relationship-driven, collaborative, humble, and patient</div></li><li><div><b>
Quality decision maker</b>: Curious, analytical, and critical thinker with top-tier acumen. Strong product, design, and business instincts</div></li><li><p><b>
Collaborative leader</b>: Skilled at aligning data science, engineering, and clinical teams toward shared goals.</p></li></ul><p><b><br>
Compensation Statement</b></p><p></p><p><br>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $120,000.00 - $180,060.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p><p>
271 - DTP Clinical Data Science - MSH, Mount Sinai Hospital</p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $120000 - $180060 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Product Manager I - AI - Digital and Technology Partners - Clinical Data Science Onsite/Hybrid

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>9/15/2025</p>
</div><div><p>Description</p>
<div>Senior Data Scientist, AI Foundations<p>
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.</p><p><br>
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.</p><p><b>
Team Description</b></p><p>
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.</p><p><b>
In this role, you will:</b></p><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><p><b>
The Ideal Candidate is:</b></p><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><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
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.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p>
Senior Data Scientist, AI Foundations<p>
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.</p><p><br>
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.</p><p><b>
Team Description</b></p><p>
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.</p><p><b>
In this role, you will:</b></p><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><p><b>
The Ideal Candidate is:</b></p><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><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
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.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p></div>
</div><div><p>Salary</p><p>
145,100.00 - 165,600.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Data Scientist, AI Foundations

Explore 559+ Manager data science in New York this September. Find roles across top companies and apply now to boost your career.