Top 84 Computer tech / mgr / website Jobs in Queens, Ny

Principal Associate, Data Scientist - US Card (Generative AI Systems)
Capital One —New York, NY
- Email
- Computer Science
- Research
- AWS
- Health insurance
1d
Principal Associate, Data Scientist - Mainstreet Acquisitions
Capital One —New York, NY
- Email
- Computer Science
- Research
- AWS
- Health insurance
Change & Release Management Lead - Wealth Management
WISSEN TECHNOLOGY PRIVATE LIMITED —New York, NY
- Full-time
- Azure
- Computer Science
- Office
- Disability insurance
- Health insurance
Quick Apply
Manager, Product Management, Card Intelligence
Capital One —New York, NY
- Email
- Computer Science
- Office
- 3 years
- Health insurance
1d
P/T Computer Aide
POLICE DEPARTMENT —New York, NY
- $26.07 - $33.75 an hour
- Part-time
- Office
- High school diploma or GED
- Analysis skills
- Paid holidays
- Health insurance
IT Project Coordinator
DEPARTMENT OF TRANSPORTATION —Manhattan, NY
- $85,421 - $131,195 a year
- Full-time
- Mid-level
- Office
- High school diploma or GED
- Loan forgiveness
6d
Service Desk Technician
Agency DEPT OF ENVIRONMENT PROTECTION —Queens, NY
- $71,577 - $105,156 a year
- Full-time
- Mid-level
- Office
- High school diploma or GED
- Loan forgiveness
P/T Computer Service Technician
POLICE DEPARTMENT —New York, NY
- $47,634 - $61,662 a year
- Part-time
- High school
- Mid-level
- High school diploma or GED
- Paid holidays
- Health insurance
Health Data User Researcher, Bureau of Data Technology & Strategy
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $109,565 - $126,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Mid-level
- Wellness program
- Health insurance
9d
Director of Applied Data Science and Solutions, Bureau of Data Technology & Strategy
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $114,930 - $150,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Wellness program
- Health insurance
Senior Manager, Technical Program Management (Risk Tech)
Capital One —New York, NY
- Email
- Computer Science
- System design
- Office
- Health insurance
Cyber Security Analyst
CONSUMER AND WORKER PROTECTION —New York, NY
- $83,330 - $110,000 a year
- Full-time
- Azure
- Computer Science
- High school
- Loan forgiveness
- Paid sick time
Clinical Histology Tech I
NYU Langone Health —New York, NY
- $99,053.60 - $125,117.01 a year
- Online Application
- Inventory management
- Quality control
- Computer skills
- Wellness program
10d
Quality Assurance Analyst
CONSUMER AND WORKER PROTECTION —New York, NY
- $68,213 - $125,000 a year
- Full-time
- 18 years or older
- Computer science
- Azure
- Work from home
- Loan forgiveness
9d
Associate Developer
Agency DEPT OF ENVIRONMENT PROTECTION —Queens, NY
- $75,000 - $130,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Loan forgiveness
Director, Data Analytics, Bureau of Data Technology & Strategy
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $114,930 - $150,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Wellness program
- Health insurance
Director, Data Platform Engineering, Bureau of Data Technology & Strategy
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $114,930 - $150,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Wellness program
- Health insurance
Software Development Engineer
Adobe —New York, NY
- $114,100 - $214,950 a year
- Full-time
- Computer science
- Azure
- Computer Science
Senior Software Engineer
Kale —New York, NY
- $150,000 - $200,000 a year
- Full-time
- Computer Science
- 3 years
- AWS
AI Engineer
Metropolitan Commercial Bank —New York, NY
- $130,000 - $200,000 a year
- Azure
- 6 years
- Computer Science

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Principal Associate, Data Scientist - US Card (Generative AI Systems)

Capital One -
New York, NY

Apply Now

Job Details

Full-time
1 day ago

Benefits

Health insurance

Qualifications

Research
Data-driven problem-solving

Full Job Description

Principal Associate, Data Scientist - US Card (Generative AI Systems)

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’ll be part of a team that’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

The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling. We partner with product, tech and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience. You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

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’s about making the right decision for our customers.
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.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

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:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- 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 plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL

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.

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science

New York, NY: $176,500 - $201,400 for Princ Associate, 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’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’s Fair Chance Act; Philadelphia’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 [email protected]. 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 [email protected]

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).

Apply Now

Refine Your Search

computer tech / mgr / website jobs in queens, ny

Principal Associate, Data Scientist - US Card (Generative AI Systems)

Principal Associate, Data Scientist - Mainstreet Acquisitions

Change & Release Management Lead - Wealth Management

Manager, Product Management, Card Intelligence

P/T Computer Aide

IT Project Coordinator

Service Desk Technician

P/T Computer Service Technician

Health Data User Researcher, Bureau of Data Technology & Strategy

Director of Applied Data Science and Solutions, Bureau of Data Technology & Strategy

Senior Manager, Technical Program Management (Risk Tech)

Cyber Security Analyst

Clinical Histology Tech I

Quality Assurance Analyst

Associate Developer

Director, Data Analytics, Bureau of Data Technology & Strategy

Director, Data Platform Engineering, Bureau of Data Technology & Strategy

Software Development Engineer

Senior Software Engineer

AI Engineer

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