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senior certification analyst Jobs in New York

senior certification analyst

analyst, analytics & reporting-1 Jobs in New York

analyst, analytics & reporting-1

analyst, cs experience

applications development sr programmer analyst

Citi

<div>The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. 
 
Responsibilities:<ul><li>
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas</li><li>
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users</li><li>
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement</li><li>
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality</li><li>
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems</li><li>
Ensure essential procedures are followed and help define operating standards and processes</li><li>
Serve as advisor or coach to new or lower level analysts</li><li>
Has the ability to operate with a limited level of direct supervision.
</li><li>Can exercise independence of judgement and autonomy.
</li><li>Acts as SME to senior stakeholders and /or other team members.</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul> 
Qualifications:<ul><li>
5-8 years of relevant experience</li><li>
Experience in systems analysis and programming of software applications</li><li>
Experience in managing and implementing successful projects</li><li>
Working knowledge of consulting/project management techniques/methods</li><li>
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience</li></ul> 
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
New York New York United States
-
Primary Location Full Time Salary Range:
$121,200.00 - $181,800.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Sep 19, 2025
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Applications Development Sr Programmer Analyst

excellent home care

<div>Excellent Home Care provides top-quality home health care services in the New York City Area. We are committed to being a leader in the community by upholding the organization&rsquo;s core values of the provision of care and respect for all. Our goal is to enhance the lives of our adult and pediatric populations in the comfort of their homes and individual communities by providing professional and compassionate care.

We are currently looking for a Board Certified Behavioral Analyst (BCBA) to join our team!

Board Certified Behavioral Analyst (BCBA) Responsibilities Include:
<ul>
<li> Conducting Initial and Ongoing Assessments</li>
<li> Complete authorizations as needed for clients</li>
<li> Develop effective treatment plans for our clients</li>
<li> Supervise BT/RBTs</li>
<li> Ongoing monitoring and adjustment of treatment plans to best facilitate skill development</li>
<li> Regular Parent Trainings</li>
<li> Collaborate with Educators</li>
<li> Ensure appropriate documentation of progress.</li>
</ul>
Board Certified Behavioral Analyst (BCBA) Qualifications:
<ul>
<li> NYS LBA Licensure</li>
<li> BCBA Certification</li>
<li> Bilingual a Plus</li>
</ul>
Board Certified Behavioral Analyst (BCBA) Work Location:
<ul>
<li> All NYC Boroughs</li>
<li> In Person/Telehealth Hybrid</li>
</ul>
Board Certified Behavioral Analyst (BCBA) Benefits:
<ul>
<li>We provide quality and compassionate home care for our clients</li>
<li>Environment where we value and care for our employees.</li>
<li>Join a team that&rsquo;s like a family.</li>
<li>Referral program</li>
<li>Supportive collaborative atmosphere</li>
<li>Integral part of the interdisciplinary team</li>
<li>Nurturing work environment</li>
<li>Supportive management team</li>
<li>Opportunity to make a difference in the lives of patients and their families.</li>
<li>Professional growth and development opportunities</li></ul></div>

Board Certified Behavioral Analyst (BCBA)

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>

Data Analyst

HSBC

<div></div><div><div><div><div><div><div><div><div><div><div>Job description
</div><div>Our purpose &ndash; Opening up a world of opportunity &ndash; explains why we exist. Here at HSBC we use our unique expertise, capabilities, breadth and perspectives to open up new kinds of opportunity for our more than 40 million customers. We&rsquo;re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world &ndash; for our customers, our people, our investors, our communities and the planet we all share. 
 
We are seeking a highly motivated Analyst to join the HSBC Infrastructure Finance team. This role offers an opportunity to work within a dynamic group responsible for originating, structuring, and executing complex project finance transactions across sectors such as energy, infrastructure, transportation, and digital assets. The Analyst will play a key role in supporting deal teams from initial pitch through financial close, gaining exposure to clients, markets, and investment structures. 
 
As our Analyst you will:<ul><li> 
Build, maintain, and stress-test detailed project finance models (including debt sizing, cash flow forecasting, and sensitivity analysis)</li><li>
Analyze financial statements, industry data, and project documentation to assess risk and bankability</li><li>
Support senior team members in structuring and executing project finance transactions, including term sheet development, credit applications, due diligence, and documentation review</li><li>
Coordinate with internal stakeholders (credit, legal, risk, syndications, and other produce partners) throughout the approval and execution process</li><li>
Conduct industry and sector research to identify trends and opportunities in infrastructure, energy transition, and other relevant sectors</li><li>
Working with our Portfolio Management team, monitor existing loan exposures, including compliance with covenants and performance against forecasts 
 
For this role, HSBC targets a pay range between $100,000.00 and $100,000.00 
 
The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location. 
 
At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee&rsquo;s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a &ldquo;bonus&rdquo;). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.</li></ul>
</div></div></div></div></div><div><div><div><div><div>Requirements
</div><div>You&acute;ll likely have the following qualifications to succeed in this role:<ul><li> 
Bachelor&rsquo;s degree in Finance, Economics, Business, Engineering, or related field (Master&rsquo;s or CFA a plus)</li><li>
Strong quantitative and analytical skills, with proficiency in Excel and financial modeling</li><li>
Basic knowledge of corporate finance, debt products, and capital markets; familiarity with project finance concepts a plus</li><li>
Licenses 7, 79, and 63, may allow for contingency to obtain</li><li>
Excellent written and verbal communication skills</li><li>
Ability to work effectively in a team environment, manage multiple tasks, and meet tight deadlines</li><li>
High level of motivation, attention to detail, and intellectual curiosity 
 
In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the U.S. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position. 
 
As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming, diverse and inclusive work environment. You will be empowered to drive HSBC&rsquo;s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You&rsquo;ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future! 
 
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.</li></ul></div></div></div></div></div></div></div></div></div></div>

Analyst

Metropolitan Transportation Authority

<div>Description 
 
Job Information 
 
Staff Analyst Series (Procurement Operations) 
 
First date of posting: 09/08/2025 
Last date of posting: 09/29/2025 
Authority: OA / TA
 
Department: MTA Procurement 
Division/Unit: Procurement Operations 
Reports To: Senior Director 
Work Location: 2 Broadway, Manhattan 
Hours of Work: 8:30AM &ndash; 4:30PM 
 
Candidates selected for this position on the NYC Transit payroll may be placed in a competitive or non-competitive class position based on their qualifications. Qualified 
candidates who are placed in a competitive class position are eligible for the 55-a Program. Please indicate in your cover letter and in the upper right corner of your 
resume that you would like to be considered for the position under the 55-a Program. For detailed information regarding the 55-a Program, please visit the following link 
https://www1.nyc.gov/site/dcas/employment/55-a-program.page 
 
Compensation 
 
Staff Analyst I (TA): $71,255 (Min) - $84,357 (Max) (New Hire Rate: $61,958) 
Staff Analyst II (TA): $82,736 (Min) - $92,147 (Max) (New Hire Rate: $71,946) 
Associate Staff Analyst (TA): $93,528 (Min) - $121,095 (Max) (New Hire Rate: $81,328) 
<ul><li>TA represented by OSA</li></ul>
 
Staff Analyst I (OA): $68,962 (Min) - $81,642 (Max) 
Staff Analyst II (OA): $80,071 (Min) - $89,179 (Max) 
Associate Staff Analyst (OA): $90,511 (Min) - $117,195 (Max) 
<ul><li>OA represented by TWU L 100</li></ul>
 
NOTE: TA employees must be permanent in the Staff Analyst, Associate Staff Analyst title in order to be considered, or be reachable on the Staff Analyst Series civil service list when established. 
 
Responsibilities 
 
The selected candidates will perform several of the following contracts/procurement related functions: Prepare contracts in accordance with MTA procurement practices. Develop, solicit, negotiate, and award contracts through the Bid process and the Request for Proposal process, and prepare related documents and analyses. Prepare and negotiate supplementary agreements such as modifications/task orders/change orders covering changes to scopes of work, pricing and/or fee schedules, and contract closeout. Collect, analyze, and report data. Formulate bid submission requirements, bid evaluations, and review vendor qualifications. Conduct market surveys and qualification hearings. Purchase goods and services using Informal quotes. Prepare cost and price analyses of proposals; formulate negotiation positions; negotiate price for various procurement actions and prepare communications and written narratives summarizing negotiations and their results. 
 
Education and Experience 
 
Associate Staff Analyst 
1. A master&rsquo;s degree from an accredited college or university in economics, finance, accounting, business or public administration, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, urban studies, or a Juris Doctor degree from an accredited law school, and one year of satisfactory full-time professional experience in one or a combination of the following: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, labor relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management, or in a related area; or 
2. A baccalaureate degree from an accredited college or university and three years of satisfactory fulltime professional experience in the areas described in &quot;1&quot; above; or 
3. An associate degree or completion of 60 semester credits from an accredited college and five years of satisfactory full-time professional experience as described in &ldquo;1&rdquo; above; or 
4. A four-year high school diploma or its educational equivalent approved by a State&rsquo;s department of education or a recognized accrediting organization and seven years of satisfactory full-time professional experience as described in &ldquo;1&rdquo; above; or 
5. A combination of education and/or experience equivalent to &ldquo;1&rdquo;, &ldquo;2&rdquo;, &ldquo;3&rdquo;, or &ldquo;4&rdquo; above. College 
education may be substituted for professional experience at the rate of 30 semester credits from an accredited college for one year of experience. However, all candidates must have a high school diploma and at least one year of experience as described in &ldquo;1&rdquo; above. 
 
Staff Analyst I &amp; Staff Analyst II 
 
1. A master&rsquo;s degree from an accredited college or university in economics, finance, accounting, business or public administration, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, or urban studies, or a Juris Doctor degree from an accredited law school; or 
 
2. A baccalaureate degree from an accredited college or university and two years of satisfactory full-time professional experience in one or a combination of the following areas: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, labor relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management; or in a related area; or 
 
3. An associate degree or completion of 60 semester credits from an accredited college or university and four years of satisfactory full-time professional experience as described in &quot;2&quot; above: or 
 
4. A four-year high school diploma or its educational equivalent and six years of satisfactory full-time professional experience as described in &quot;2&quot; above; or 
 
5. A combination of education and/or experience equivalent to &quot;1&quot;, &quot;2&quot;, &quot;3&quot;, or &quot;4&quot; above. College education may be substituted for professional experience at the rate of 30 semester credits from an accredited college or university for one year of experience. However, all candidates must have a high school diploma. 
Special Note: 
To be eligible for placement in Assignment Level II, individuals must have, after meeting the minimum requirements, one additional year of professional experience as described in &quot;2&quot; above. 
 
Desired Skills 
<ul><li>
Excellent organizational skills.</li><li>
Excellent oral and written communication skills.</li><li>
Excellent interpersonal, analytical, research and problem-solving skill.</li></ul> 
 
Other Information 
Pursuant to the New York State Public Officers Law &amp; the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the &ldquo;Commission&rdquo;). 
 
Equal Employment Opportunity 
 
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Staff Analyst Series (Procurement Operations)

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

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>

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