New York

Data Jobs in New York

40 jobs found

Include remote jobs

1d ago

Data Analyst - AI Trainer

DataAnnotation Buffalo, NY 🇺🇸 Remote

Buffalo, NY

1d ago

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

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Job Description

DataAnnotation, a company focused on training AI systems through carefully crafted coding tasks, is seeking a Data Analyst - AI Trainer. This remote-friendly role centers on designing and solving coding problems to train AI systems, evaluating AI-generated code, and providing feedback to help shape future models, with flexible scheduling and project-based pay.

Location

Buffalo, NY (remote)

Responsibilities

Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code snippets and detailed explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly shapes the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $100+ USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI technologies.

Pay: $50.00 - $100.00 per hour

Work location: Remote

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4d ago

Lead Machine Learning Engineer

Capital One New York, NY

New York, NY

4d ago

$215k - $246k/yr Full time Ai Ml Azure Ml Big Data

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Job Description

Capital One seeks a Lead Machine Learning Engineer in New York, NY (onsite) with a salary range of USD 215,200 to 245,600 per year to productionize ML at scale, shape architecture, and drive model and application code within an Agile team.

Responsibilities

Design, develop, and deliver ML models and components that address real world business problems, collaborating with Product and Data Science teams
Guide ML infrastructure choices based on modeling techniques, including model selection, data and feature engineering, training, hyperparameter tuning, dimensionality considerations, bias and variance, and validation
Tackle complex problems by writing and testing application code, building and validating ML models, and automating tests and deployment
Work within a cross functional Agile team to create software that powers advanced big data and ML applications
Retrain, maintain, and monitor models in production environments
Leverage or build cloud based architectures and platforms to deliver scalable ML models
Construct optimized data pipelines to feed ML models
Apply CI/CD best practices with test automation and monitoring to ensure successful deployment of ML models and code
Ensure code quality, governance of models from risk perspective, and adherence to Responsible and Explainable AI practices
Proficiency with Golang, Python, Scala, or Java

Requirements

Bachelor’s Degree
Minimum six years of experience designing and building data intensive solutions using distributed computing (internship experience does not apply)
At least four years of experience programming with Python, Scala, or Java
At least two years of experience building, scaling, and optimizing ML systems

Technologies

Golang
Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS
Azure
Google Cloud Platform

Benefits

Performance-based incentive compensation (cash bonuses and/or long-term incentives)
Health, financial and other benefits that support total well-being

Preferred Qualifications

Master's or Doctoral degree in computer science, electrical engineering, mathematics, or a related field
3+ years building production ready data pipelines that feed ML models
3+ years experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years developing performant, resilient, and maintainable code
2+ years experience gathering and preparing data for ML models
1+ years leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blogs, open source contributions, or patents
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion

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4d ago

Senior Lead Machine Learning Engineer

Capital One New York, NY

New York, NY

4d ago

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

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Job Description

Capital One is seeking a Senior Lead Machine Learning Engineer to drive the productionization of ML applications at scale. This onsite role in New York, NY places you at the forefront of design, development, deployment, and governance of ML solutions within an Agile team, working closely with Product and Data Science colleagues to translate business requirements into robust, scalable systems.

Responsibilities

Design, develop, and deliver machine learning models and components to address real-world business problems, in collaboration with Product and Data Science teams.
Make informed ML infrastructure decisions based on modeling techniques and issues, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Tackle complex challenges by writing and testing application code, building and validating ML models, and automating tests and deployment.
Work within a cross-functional Agile team to create and improve software powering state-of-the-art big data and ML applications.
Retrain, monitor, and maintain models in production.
Utilize or build cloud-based architectures and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply CI/CD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and security, govern models from a risk perspective, and adhere to Responsible and Explainable AI practices.
Use programming languages such as Python, Scala, or Java.

Requirements

Bachelor’s Degree
8+ years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
4+ years of experience programming with Python, Scala, or Java
3+ years of experience building, scaling, and optimizing ML systems
2+ years of experience leading teams developing ML solutions

Technologies

Python
Scala
Java
AWS
Azure
Google Cloud Platform
scikit-learn
PyTorch
Dask
Spark
TensorFlow

Compensation

Salary: USD 250,800 - 286,200 per year

Benefits

Performance-based incentive compensation (cash bonuses and/or long-term incentives)
Health benefits
Financial benefits

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5d ago

Senior Data Analyst -SQL/Machine Learning /AI/PowerBI

Donnelly & Moore Corporation New York, NY

New York, NY

5d ago

$65+/hr Full time Python Senior Ai Ml

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Job Description

The Senior Data Analyst role in New York City offers a hybrid work arrangement and centers on SQL, PySpark, Python with Pandas, and machine learning initiatives. This position is open to local candidates, with a two-hour onsite interview in NYC. Compensation is USD 65 per hour.

Responsibilities

Perform SQL-based data extraction and analysis
Process data with PySpark to support large-scale workflows
Carry out analyses using Python and Pandas
Derive actionable insights from sizable datasets
Develop and evaluate machine learning models
Deliver analytics and reporting to inform decisions

Requirements

Strong SQL query writing and optimization
Proficiency in PySpark
Python programming skills
Experience with Pandas for data manipulation
Background in machine learning applications
Ability to write, execute, and troubleshoot SQL queries
Data extraction and integration capabilities
Experience creating joins, aggregations, and filters
Basic to intermediate data transformations
Building and maintaining data pipelines
Large-scale data processing and optimization
Data cleansing and preparation
Data transformation in distributed environments
Exploratory data analysis and data manipulation with Pandas
Exposure to classification, regression, and clustering models
Model evaluation and performance measurement

Technologies

SQL
PySpark
Python
Pandas
PowerBI
Databricks
Google Cloud Platform (GCP)

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Interview Details

In-person interview only, no video interviews
Candidate must be local to attend a two-hour onsite session in NYC
Live SQL and PySpark coding exercises will be conducted
Candidates should have thoroughly validated hands-on coding skills prior to submission

Team Structure

10 Data Engineers
6 Data Scientists

Certifications

Highly Preferred: Databricks Data Engineer Certification
Acceptable Post-Hire: Databricks Certification
Acceptable Post-Hire: Google Cloud (GCP) Certification

Priority Technical Skill: PySpark

Building and maintaining data pipelines
Large-scale data processing
Data transformation and optimization
Distributed data environments

Python and Pandas

Data cleansing and preparation
Data transformation
Exploratory data analysis
Data manipulation with Pandas

Machine Learning Focus

Classification models
Regression models
Clustering techniques
Model evaluation and performance measurement

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8d ago

Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Amazon Web Services, Inc. New York, NY

New York, NY

8d ago

$170k - $230k/yr Full time Backend Developer Analytics Artificial Intelligence

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Job Description

A Senior Data Engineer on the Strategic Customer Engagements team at AWS is responsible for the end-to-end development of a scalable data analytics platform to support commercial private pricing opportunities and AI-enabled data solutions. You will work with Product Managers, Business Intelligence Engineers, and business partners to translate data into actionable insights that influence deal outcomes. This on-site role is based in New York, NY, with a salary range of USD 170,000 to 230,000 per year.

Details

Location: New York, NY (onsite)
Salary: USD 170,000 - 230,000 per year
Experience: 5+ years

Responsibilities

Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption
Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure
Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build
Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities
Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time
Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems

Requirements

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices

Technologies

Hadoop
Hive
Spark
EMR
SQL
Python
Java
Scala
NodeJS
GenAI
AWS services

Benefits

Sign-on payments and restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Description

Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring

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9d ago

Principal Product Mgr. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS)

Amazon.com Services LLC New York, NY

New York, NY

9d ago

$198k - $268k/yr Full time Marketing Ad Tech Analytics

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Job Description

Amazon's Ads division is expanding its brand measurement capabilities to help advertisers connect media investments with real customer outcomes. In the MADS space, the Principal Product Manager – Technical for Brand Measurement will define the strategy, roadmap, and delivery of data-driven reporting products, collaborating with engineering, data science, and design teams to translate data into actionable insights. This onsite role is based in New York, NY with a salary range of USD 197,900 to 267,800 per year and requires a Bachelor's degree along with 4+ years of end-to-end product delivery and 8+ years of technical product or program management experience.

Responsibilities

Lead the development of innovative brand measurement solutions for advertisers across Amazon Ads.
Enable advertisers to measure, analyze, and optimize their brand-building campaigns within the Amazon Ads ecosystem.
Deliver performance reporting and actionable insights that connect media spend to real customer outcomes.
Define the strategy, roadmap, and delivery of technical brand measurement solutions to maximize brand-building impact.
Collaborate with engineering, data science, and design teams to build robust, data-driven reporting products.
Help advertisers understand campaign effectiveness, identify optimization opportunities, and drive tangible business results.
Work backward from customer needs to identify requirements and opportunities for improvement.
Partner with engineering to build scalable event-driven architectures capable of processing billions of impressions and conversions daily.
Drive adoption through close collaboration with internal and external stakeholders.

Requirements

4+ years of end-to-end product delivery experience
8+ years of technical product or program management experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning and driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience in technical product management

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement)
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

Experience working directly with engineers on product enhancements
Experience in project management methodologies, business analysis, or process improvement

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11d ago

Senior Machine Learning Engineer

Onward Search Brooklyn, NY 🇺🇸 Remote

Brooklyn, NY

11d ago

$80 - $85/hr Contract Ad Tech Data Engineer Data Processing

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Job Description

Remote, U.S.-based contract role for a Senior Machine Learning Engineer focused on scalable ML models for an e-commerce ads platform.

Location: Brooklyn, NY (remote). Compensation: USD 80 - 85 per hour. Engagement: 10-26 weeks, temporary assignment.

Responsibilities

Develop and maintain scalable machine learning models to boost ad relevance and improve system efficiency.
Partner with cross-functional teams to enhance ad candidate retrieval and user engagement metrics.
Implement, monitor, and optimize ML systems deployed in production environments.
Contribute to data pipeline architecture to support machine learning workflows at scale.
Troubleshoot and debug issues within live machine learning production systems.

Qualifications

Proficiency in Python, with additional experience in Scala, Java, or C/C++.
Strong engineering skills for building performant data pipelines on distributed systems.
2-5 years of experience handling ML lifecycle tasks including training, deployment, and monitoring.
Familiarity with vector databases, retrieval systems, and ANN tuning; Vespa experience preferred.
Hands-on experience with frameworks such as TensorFlow or PyTorch.