New York

Data Jobs in New York

37 jobs found

Include remote jobs

Today

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

Donnelly & Moore Corporation New York, NY

New York, NY

Today

$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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3d ago

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

Amazon Web Services, Inc. New York, NY

New York, NY

3d 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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3d ago

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

Amazon.com Services LLC New York, NY

New York, NY

3d 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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6d ago

Senior Machine Learning Engineer

Onward Search Brooklyn, NY 🇺🇸 Remote

Brooklyn, NY

6d 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.

Technologies

Python
Scala
Java
C/C++
Vespa
TensorFlow
PyTorch

Benefits

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

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6d ago

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Capital One New York, NY

New York, NY

6d ago

$251k - $286k/yr Full time Big Data Cloud Platforms Data Processing

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Job Description

Capital One’s Enterprise Platforms Technology (EPTech) group is seeking a Sr Lead, Machine Learning Engineer to scale ML initiatives from concept to production. In this role, you will design and operationalize machine learning models and the supporting infrastructure, while ensuring governance, security, and robust performance across systems. Based in New York City and focused on enterprise-scale solutions, this onsite position emphasizes collaboration with product and data science teams to solve real business problems through advanced analytics.

Responsibilities

Design, build, and deliver ML models and components that address real-world business challenges, in partnership with Product and Data Science teams.
Guide ML infrastructure decisions with a solid understanding of modeling techniques, data, features, training, hyperparameters, dimensionality, bias/variance, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Work within a cross-functional Agile team to create and enhance software for state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production environments.
Utilize cloud-based architectures and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and governance, manage risk related to models, and follow responsible and explainable AI practices.
Program in Python, Scala, or Java.

Requirements

Bachelor’s degree
At least 8 years designing and building data-intensive solutions using distributed computing (internships excluded)
At least 4 years programming with Python, Scala, or Java
At least 3 years building, scaling, and optimizing ML systems
At least 2 years leading teams developing ML solutions

Technologies

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

Benefits

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

Preferred Qualifications

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a related field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
4+ years of on-the-job experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of developing performant, resilient, and maintainable code
3+ years of data gathering and preparation for ML models
3+ years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
3+ years building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences

Salary and location

Location: New York, NY (onsite)

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

Salary ranges by location

McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200

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7d ago

Senior Analytics Engineer

Orchard New York, NY

New York, NY

7d ago

$135k - $180k/yr Full time Senior Analytics Business Intelligence

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Job Description

Orchard seeks a Senior Analytics Engineer in New York, NY (hybrid) to rebuild how the business derives answers from data and to own the analytics platform roadmap end to end.

Responsibilities

Own the major analytics platform initiatives from scoping to delivery, collaborating with the Director to shape future roadmap directions.
Ingest new data sources and deliver production gold-tier dbt models that the company can rely on, balancing speed and quality.
Author and maintain the prose semantic layer with markdown documentation describing model meanings, metric definitions, historical decisions, and known landmines.
Develop and tune the LLM-powered query layer, including prompt design, retrieval workflows, evaluation, and the feedback loop when results are incorrect.
Deploy and calibrate agents that monitor certified dashboards for anomalies and trend shifts, refining them until executives trust the alerts and act upon them.

Requirements

4+ years in analytics engineering, data engineering, or a hybrid data role, including ownership of a significant data platform or end-to-end migration.
Deep dbt and SQL fluency with strong opinions about data grain, testing, documentation, and the limits of each approach.
Experience working in Redshift or a comparable data warehouse at scale.
Built something useful with LLMs against your own data and have opinions about what works; hands-on experience with retrieval or evaluations is a plus.
Clear technical writing ability; able to explain a metric in a paragraph that an executive can read.
Proven track record of owning technical decisions and bringing stakeholders along across the organization; able to push back when data does not support requests while maintaining collaboration.

Technologies

Looker
dbt
SQL
Redshift
LLM

Compensation

Salary: USD 135,000 - 180,000 per year

Benefits

Stock options
Incentive pay
Medical benefits
Financial benefits
Other benefits

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8d ago

Product Manager, Payments Data and Analytics-Vice President

JPMorganChase New York, NY

New York, NY

8d ago

$123k - $201k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Senior-level Product Manager (Vice President) for Payments Data and Analytics at JPMorganChase, onsite in New York, NY. This role directs the full product lifecycle, serves as the voice of the customer, and delivers scalable analytics products that generate customer value. Compensation ranges from USD 122,550 to 201,000 per year.

Responsibilities

Articulates a product strategy and vision focused on delivering tangible customer value.
Oversees discovery activities and market research to identify customer solutions and translates them into the product roadmap.
Owns and evolves the product backlog to support the strategic roadmap and value proposition.
Establishes the measurement framework and monitors key success metrics including cost, features, risk posture, and reliability.
Coordinates with data scientists, engineers, and business stakeholders to define objectives and translate them into analytics solutions.
Leverages cutting edge technologies to develop analytics products that reveal insights and drive growth.
Cultivates stakeholder relationships to align on analytics strategies and roadmaps.
Presents complex analytics concepts in accessible terms to diverse audiences to ensure shared understanding.

Requirements

Minimum of 5 years of experience in product management or a related field, or equivalent expertise.
Deep knowledge of the product development lifecycle, design principles, and data analytics.
Proven track record leading end-to-end product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management.
Solid understanding of analytics methodologies and technologies.
Demonstrated passion for data driven innovation and problem solving.
Excellent communication and collaboration skills to drive team success and stakeholder engagement.
Ability to deliver high quality results independently with ownership of projects.

Technologies

SQL
Python
R
Tableau
Power BI

Benefits

Base salary
Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity
Health care coverage (comprehensive)
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Equity compensation (forfeitable equity)

About Us

JPMorganChase is a long established financial institution offering innovative financial solutions to millions of consumers, small businesses, and many of the world’s prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans more than 200 years and we are a leader across investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
We offer a competitive total rewards package including base salary determined by role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care co
We value the diverse talents of our global workforce and are an equal opportunity employer. We do not discriminate on the basis of protected attributes such as race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Within the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. The team tackles complex challenges across the entire payment lifecycle, delivering industry leading solutions that support seamless transactions across borders, industries, and platforms.
Operating in over 160 countries and supporting more than 120 currencies, the J.P. Morgan Payments business is the largest processor of USD payments, handling a daily transaction volume of $10 trillion.