New York

Data Jobs in New York

458 jobs found

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3mo ago

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Capital One New York, NY

New York, NY

3mo ago Closed

$251k - $286k/yr Full time Senior Agentic AI

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Capital One is seeking a Senior Lead AI Engineer to steer the development of AI software components and foundational AI systems for MLX, Agentic AI, and Gen AI platform services. This onsite role is based in New York, NY, with a compensation range of USD 250,800 to 286,200 per year.

Overview

Capital One is building responsible and reliable AI systems to advance banking for good. The organization has a track record of applying machine learning to deliver real time, personalized experiences for customers. This role contributes to scaling AI infrastructure and capabilities across the enterprise, supported by robust technology foundations and a strong talent pool.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the heart of Capital One’s AI efforts. We collaborate with partners across the business to push the boundaries of science and engineering in AI, deploying proprietary solutions that underpin core products and deliver value to millions of customers. Our models and platforms empower teams to enhance products with AI driven capabilities.

Responsibilities

Work with a cross functional group of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that reshape how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components, including foundation model training.
Large language model inference and related components such as similarity search and guardrails.
Model evaluation, experimentation, governance, and observability to ensure reliable production systems.
Utilize and integrate a broad stack of Open Source and SaaS AI technologies including AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply advanced LLM optimization techniques to enhance scalability, cost efficiency, latency, and throughput for large scale production AI systems.
Contribute to the technical vision and long term roadmap of foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java
C++
C#

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Benefits

Health benefits
Financial benefits
Other benefits

Basic Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications

Seven years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Proven ability to lead and mentor an engineering team and influence cross functional stakeholders
Experience developing AI and ML algorithms or technologies including LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, or Golang
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Strong interest in current AI research and practical application of new techniques in production
Excellent communication and presentation skills for conveying complex AI concepts to peers

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3mo ago

Senior Analytics Engineer (Marketing)

Ledgent Technology New York, NY

New York, NY

3mo ago Closed

$58 - $91/hr Contract Marketing Senior Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Ledgent Technology seeks a Senior Analytics Engineer for Marketing to design and deliver complex dashboards and automated reporting for the Marketing Analytics organization. The role oversees end-to-end BI deliverables, including data acquisition and platform integrations. This contract position is onsite in New York, NY, with a contract-to-hire path through Roth Staffing; alternative locations include NYC or Bethesda, MD.

Compensation

Hourly rate: USD 58 - 91 per hour

Responsibilities

Create and maintain sophisticated dashboards featuring interactive elements, applying visualization best practices to ensure usability and stakeholder clarity.
Develop and maintain complex SQL queries and Python-based automation to support reliable data extraction, transformation, QA checks, and scheduled reporting; manage shared codebases in Git or Azure DevOps, following team standards for commits, reviews, and documentation.
Implement automated reporting pipelines and repeatable delivery patterns to reduce manual effort and increase reliability.
Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
Clarify vague requirements by asking the right questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
Collaborate with Marketing and enterprise stakeholders to support MarTech data acquisition strategies, including tagging/collection requirements and platform integrations, to improve availability and usability of marketing datasets for reporting and analytics.
Perform strong self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
Present BI outputs and insights to stakeholders with a clear narrative, explaining assumptions, limitations, and tradeoffs.
Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
Manage projects concurrently, accurately scoping timelines and proactively flagging risks.
Demonstrate a growth mindset by incorporating feedback, pursuing learning opportunities, and continuously elevating BI craftsmanship through iteration.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or a related field.
5+ years of experience in BI or analytics engineering or a closely related domain; exceptions may be considered at the company’s discretion for candidates demonstrating exceptional aptitude in other core skill areas.
Expert SQL skills; advanced experience with BI tools such as Tableau, Power BI, and Looker.
Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
Strong communication skills with experience translating stakeholder needs into technical specifications.

Technologies

SQL, Python, Git, Azure DevOps
Tableau, Power BI, Looker, LookML
MetricFlow, dbt
Snowflake
Google Analytics
Campaign Manager 360 (CM360), SA360
Salesforce

Role Summary

The Marketing department seeks an experienced BI professional to join the Marketing Analytics team as a Senior Analytics Engineer focused on Business Intelligence. The role builds complex dashboards and automated reporting solutions, translates stakeholder questions into technical specifications, and ensures outputs are accurate, well-structured, and aligned to definitional standards.

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3mo ago

Internal Audit-Data Analytics, Data Engineer Vice President

Goldman Sachs New York, NY

New York, NY

3mo ago Closed

$100k - $250k/yr Full time Senior Analytics Auditing

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Goldman Sachs is seeking a Senior Vice President to lead data analytics within Internal Audit, combining data engineering with audit testing to drive efficiency and deeper visibility into the firm’s control environment. This on-site role in New York emphasizes building production-grade analytical tools and collaborating with audit teams to source data, standardize processes, and deliver actionable insights. The position requires a strong foundation in database design, data governance, and programming, with a focus on turning complex data into practical audits.

Responsibilities

Handle database activities including data modeling, data engineering, data governance, and maintenance of entitlements.
Gather and manage requirements for each audit project, delivering outputs that support auditors in sample selection, identifying control gaps, validating data source completeness, and ensuring data integrity (data blessing).
Build production-ready analytical tools to automate repeatable processes within Internal Audit using reporting platforms such as Tableau, Spotfire, or QlikView.
Carry out data analysis tasks, which may involve procedural or programmatic ETL activities for structured and unstructured data.
Conduct data analysis complemented by technical narratives describing the integrity of automated controls.
Develop data analysis code using languages such as Python, Java, or Slang.
Identify opportunities for standardization and apply automation to audit processes and data analytics applications.
Contribute to Embed DA – Data strategy within IA responsibilities, including risk assessment, audit planning, creation of reusable tools, and innovative solutions to complex problems.
Partner with audit teams to identify business risks, facilitate strategic data sourcing, and devise solutions to enhance audit testing efficiency and effectiveness.
Maintain strong relationships and communications with audit team members.

Requirements

8+ years of experience with a bachelor’s degree in Computer Science, Mathematics, or Statistics.
Strong experience with RDBMS and SQL.
Exposure to ETL processes, data engineering, and data governance.
Experience implementing Data Blessing and Data Quality measures, along with entitlement models.
Proficiency in programming languages such as Python, Java, or C++.
Foundational knowledge of statistics including descriptive statistics, data distribution models, time series analysis, correlation, and regression, and their application to data analysis.
Excellent collaboration and communication skills, capable of conveying relevant information clearly and managing multiple tasks.
Active contributor to the Internal Audit data science efforts and a driver of analytical capability growth.
Self-motivated with a proactive approach to improving performance.

Technologies

RDBMS
SQL
Python
Java
C++
Tableau
Spotfire
QlikView
Slang
SAS
SPSS
R

Benefits

Healthcare & Medical Insurance
Holiday & Vacation Policies
Financial Wellness & Retirement
Health Services
Fitness
Child Care & Family Care
Benefits at Goldman Sachs

What we do

Communicate and report on the effectiveness of governance, risk management, and controls that mitigate current and evolving risk.
Raise awareness of control risk across the organization.
Assess the firm’s control culture and conduct risk, and monitor management’s implementation of control measures.

Opportunity Overview

Corporate Title: Vice President
Office Location(s): New York
Job Function: Data Analytics & Reporting
Division: Internal Audit
Salary Range: USD 100,000 - 250,000

Preferred Qualifications

Experience with advanced data analytics tools and techniques
Familiarity with text analytics and NLP using Python
Exposure to machine learning algorithms, including supervised and unsupervised learning (linear and logistic regression, SVM, Random Forest, boosting, clustering)
Experience with analytical/statistical programs such as SAS, SPSS, and R
Experience with visualization tools (Tableau, Spotfire, or QlikView) is a plus
Creativity and innovation, with the ability to improve processes and develop practical, value-added solutions for the department

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3mo ago

Senior Lead AI Engineer

Capital One New York, NY

New York, NY

3mo ago Closed

$251k - $286k/yr Full time Senior Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Capital One is seeking a Senior Lead AI Engineer for an onsite role in New York, NY. The position focuses on building and deploying AI and ML systems, contributing to foundational AI platforms, and steering cross-functional teams to deliver AI powered products. Compensation: USD 250,800 - 286,200 per year.

Responsibilities

Collaborate with a cross-functional team of engineers, researchers, technical program managers, and product managers to deliver AI powered products that transform how associates work and how customers interact with Capital One.
Own the design, development, testing, deployment, and support of AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and apply state-of-the-art LLM optimization techniques to enhance production AI systems in terms of scalability, cost, latency, and throughput.
Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of AI/ML experience, or a Master’s degree in the same fields with at least 4 years of AI/ML experience.
At least 6 years of experience programming with Python, Go, Scala, or Java.
Seven years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and vector databases, guardrails, memory) using Python, C++, C#, Java, or Go.
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Technologies

Python
Go
Scala
Java
AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch

Benefits

Health, financial and other benefits that support total well-being
Performance-based incentive compensation, which may include cash bonuses and/or long term incentives (LTI); incentives could be discretionary or non discretionary depending on the plan

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's AI strategy. We work with partners across the company to advance the state of the art in AI research and engineering, building and deploying proprietary solutions that are central to the business and deliver value to millions of customers. Our AI models and platforms empower teams to enhance products with the transformative power of AI.

The Ideal Candidate

You enjoy building systems, take pride in the quality of your work, and share a commitment to doing the right thing. You stay current with the latest AI research and can judiciously apply novel techniques in production. You adapt quickly and seek clarity in large, undefined problems, communicating findings concisely. You are deeply technical, with a strong foundation in engineering and mathematics, and you recognize optimization opportunities that others may miss. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of AI/ML experience, or a Master’s degree in the same fields with at least 4 years of AI/ML experience.
At least 6 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications

Seven years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Proven ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Go.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost using state-of-the-art techniques.
Strong interest in AI research and AI systems, with the ability to apply novel techniques in production.
Excellent communication and presentation skills to articulate complex AI concepts to peers.

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3mo ago

Senior Data Analyst

Information Technology Senior Management Forum New York, NY

New York, NY

3mo ago Closed

$121k - $138k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Benefits and culture

Join the Information Technology Senior Management Forum in New York, onsite, for a Senior Data Analyst role that centers on Innovation, Business Intelligence, and Data Management. You will turn data into actionable insights that inform strategic decisions and help shape data-driven outcomes across the organization. The role offers a competitive annual salary of USD 121,300 to 138,400 and is a full-time, onsite position. A Master’s Degree is listed as the target education for this role, with the expectation that the degree is obtained or is in progress with an anticipated completion date prior to start. This position emphasizes collaboration with business stakeholders and technology teams to advance data solutions and governance.

Responsibilities

Leverage open source and digital technologies to mine diverse, large-scale data sources and platforms.
Develop well-governed data solutions, tools, and self-service capabilities for data consumers.
Assess and adopt new technologies quickly to advance multiple initiatives.
Collaborate with the business to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization.
Lead analyses that yield meaningful insights for business strategies.
Promote adherence to data quality management principles, including metadata, lineage, and business definitions.
Partner with technology teams to implement security controls and data access governance.
Build and deploy tools to monitor and report on data quality.

Requirements

An education path of either a Bachelor’s degree in a quantitative field with at least two years of data analytics experience, or a Master’s degree with the expectation of completion by the start date.
At least one year of experience using at least one scripting language.
At least one year of experience with a business intelligence or data visualization tool.
At least one year of experience querying, analyzing, and working with data languages and platforms.

Technologies

Python
R
Spark
SQL
Snowflake
AWS
Informatica DQ

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3mo ago

Machine Learning Engineer, Ad Response Prediction

Amazon.com Services LLC New York, NY

New York, NY

3mo ago Closed

$144k - $214k/yr Full time Ad Engineer Learning

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Based in New York, NY (onsite), the Machine Learning Engineer will design, code, and maintain scalable ML pipelines and online serving systems for ad response prediction within Amazon Ads Sponsored Products and Brands, with a salary range of USD 143,700 - 213,800 per year and a minimum of 2 years of professional software development experience.

Responsibilities

Drive the technical direction of ML offerings across the Sponsored Products organization
Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
Collaborate with applied scientists to optimize ML model performance and infrastructure
Deliver end-to-end solutions; you own what you build

Requirements

3+ years of non-internship professional software development experience
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
2+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
Knowledge of machine learning model architecture and inference

Technologies

C#
C++
Java
Perl
JAX
PyTorch
vLLM
SGLang
Dynamo
TorchXLA
TensorRT

Benefits

Health insurance (medical, dental, vision, prescription)
Basic Life and AD&D insurance with option for supplemental life plans
Employee Assistance Program, mental health support, and Medical Advice Line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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3mo ago

Senior Lead AI Engineer (FM Hosting)

Capital One New York, NY

New York, NY

3mo ago Closed

$251k - $286k/yr Full time Senior AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Capital One's Intelligent Foundations and Experiences (IFX) team is seeking a Senior Lead AI Engineer (FM Hosting) to architect and operationalize AI software components that power scalable, real-time customer experiences. Based in New York, NY (onsite), the role offers a salary range of USD 250,800 to 286,200 per year and involves collaboration across engineering, research, and product management to shape AI systems that transform how associates work and how customers interact with Capital One.

Responsibilities

Collaborate with a cross-disciplinary team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform how Capital One associates work and how customers interact with the bank.
Design, build, test, deploy, and sustain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a wide range of open-source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply cutting-edge LLM optimization techniques to boost production AI systems' performance, focusing on scalability, cost, latency, and throughput.
Contribute to Capital One's foundational AI systems' technical vision and long-term roadmap.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields with at least 4 years of experience developing AI and ML algorithms or technologies.
At least 6 years of experience programming with Python, Go, Scala, or Java.

Technologies

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch
Python
C++
C#
Java
Go

Benefits

Health benefits
Financial benefits
Other benefits that support your total well-being
Performance-based incentive compensation (cash bonuses and/or long term incentives)

Overview

Capital One is focused on building responsible and reliable AI systems that drive better banking outcomes. The company has long been a leader in applying machine learning to deliver real-time, personalized customer experiences, supported by strong technology infrastructure and top talent. This foundation positions Capital One at the forefront of enterprises leveraging AI to create value for customers.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy. We collaborate with partners across the organization to advance AI research and engineering, building and deploying proprietary solutions central to the business and delivering value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products with AI's transformative potential.

The Ideal Candidate

You enjoy building robust systems, take pride in code quality, and share a commitment to doing the right thing. You are motivated by solving problems that can change banking for good.
You stay current with the latest AI research and can translate publications into production-ready approaches.
You adapt quickly and bring clarity to large, undefined problems, asking questions and digging deep to uncover root causes, and you can present findings concisely. You have the courage to propose new ideas, even if unproven.
You are deeply technical with a solid foundation in engineering and mathematics, and you understand hardware, software, and AI to identify optimization opportunities others might miss.
You are a resilient trailblazer who can chart new paths to meet business goals when the route is uncertain.

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and AI systems, applying novel techniques in production as appropriate.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.