New York

Data Jobs in New York

35 jobs found

Include remote jobs

Today

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

Amazon.com Services LLC New York, NY

New York, NY

Today

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

Apply Now

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

View full job page →

3d ago

Senior Machine Learning Engineer

Onward Search Brooklyn, NY 🇺🇸 Remote

Brooklyn, NY

3d ago

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

Apply Now

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

View full job page →

3d ago

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

Capital One New York, NY

New York, NY

3d ago

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

Apply Now

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

View full job page →

4d ago

Senior Analytics Engineer

Orchard New York, NY

New York, NY

4d ago

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

Apply Now

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

View full job page →

5d ago

Product Manager, Payments Data and Analytics-Vice President

JPMorganChase New York, NY

New York, NY

5d ago

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

Apply Now

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.

View full job page →

5d ago

Senior Data Engineer

Verse Medical New York, NY

New York, NY

5d ago

$150k - $200k/yr Full time Senior Cloud Architecture Data Architecture

Apply Now

Job Description

Based in New York, NY with a hybrid work model, Verse Medical seeks a Senior Data Engineer to design and scale data architectures and pipelines that power product development and operations. The role collaborates with engineers, data scientists, and operations teams to ensure data is reliable, accessible, and actionable across the organization.

Responsibilities

Design, build, and manage robust data pipelines that ingest, process, and integrate data from multiple sources.
Develop clean, well-structured data models to support business operations, executive reporting, and advanced analytics.
Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch and real-time workflows.
Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices.
Collaborate with technical and non-technical stakeholders to translate business problems into scalable, actionable data solutions.
Own the ongoing reliability and evolution of production data products, driving projects from concept to execution.
Operate with initiative and autonomy in a fast-paced, mission-driven environment.

Requirements

4+ years of experience in data engineering, analytical engineering, or data architecture.
Strong SQL and Python skills, with experience building complex, high-performance queries.
Deep experience with modern data stack tools, including data integration tools (Fivetran, Airbyte), transformation frameworks (dbt), and modern data warehouses (Snowflake, BigQuery, Redshift).
Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets.
Strong understanding of data modeling, governance, privacy, and observability best practices.
Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences.

Technologies

SQL
Python
Fivetran
Airbyte
dbt
Snowflake
BigQuery
Redshift

Benefits

Competitive compensation.
Opportunities for rapid career advancement in a growing company.
100% premium coverage for health insurance.
401(k) with no matching at this time.

Our Values

Transparency and direct communication, with honesty and clarity in information sharing.
Speed of iteration, prioritizing rapid learning and delivering solutions to users.
Focused effort aligned with the mission, balancing intensity with sustainable pacing.
Empathy for customers, owning problems and pursuing practical, real-world improvements in healthcare.

Core Skills & Experience

4+ years of experience in data engineering, analytical engineering, or data architecture.
Strong SQL and Python skills, with experience building complex, high-performance queries.
Deep experience with modern data stack tools, including data integration tools (Fivetran, Airbyte), transformation frameworks (dbt), and modern data warehouses (Snowflake, BigQuery, Redshift).
Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets.
Strong understanding of data modeling, governance, privacy, and observability best practices.
Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences.
Preferred: Experience leading full-stack data architecture and making strategic data platform decisions.
Preferred: Experience with data platform migrations.
Preferred: Familiarity with healthcare or other regulated data (HIPAA compliance).

Our Pledge for an Equitable Future

Verse Medical is committed to delivering equitable, hospital-quality care to everyone, regardless of background or location. We strive for a diverse team that reflects the patients we serve and a workplace where everyone feels a sense of belonging and can contribute fully. We embrace diversity of all kinds, including race, gender, age, religion, identity, and experience, and we are actively working to foster a more inclusive and equitable environment from within our organization. We are an equal opportunity employer and are committed to providing a positive and accessible interview experience. If you require accommodations to participate in our process, please contact recruiting@versemedical.com.

View full job page →

5d ago

Senior Analytics Engineer, Finance

Harvey New York, NY

New York, NY

5d ago

$155k - $235k/yr Full time Senior Analytics Business Analytics

Apply Now

Job Description

Based in New York City with a hybrid work setup, Harvey offers a finance powered analytics role that supports company wide decision making. The Senior Analytics Engineer, Finance will build the financial data foundation, develop scalable pipelines, and create semantic models to enable analytics across Finance, Product, and leadership. The position includes eligibility for an equity plan, comprehensive health, dental and vision coverage, a 401k match up to 4%, and flexible PTO.

Responsibilities

Design and implement scalable data models and pipelines with dbt to transform raw data into clean, reliable assets for company wide financial analytics and decision making.
Define and maintain a robust semantic layer (LookML, Omni, or similar) that standardizes financial and operating metrics such as revenue, retention, customer growth, usage, margin, and forecast inputs.
Collaborate with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics such as ARR and NRR.
Establish and advocate data modeling standards and best practices to ensure accuracy, performance, usability, and long term maintainability across the analytics stack.
Lead data governance efforts, upholding data quality, consistency, documentation, and access controls across the analytics ecosystem.
Structure financial metric definitions, business logic, and accounting context to enable AI assisted reporting, natural language analytics, and automated anomaly detection.

Requirements

5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or related field.
Strong expertise in SQL, dbt, Python, and Snowflake.
Experience with modern BI tools such as Looker or Omni, or equivalents.
Ability to define core financial and operating metrics, surface insights, and resolve data inconsistencies across complex systems.
Proficiency with version control (GitHub), CI/CD, and modern development workflows.
Bias for action and a preference for launching usable, iterative data models that deliver immediate value.
Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Executive stakeholders.
Comfortable navigating ambiguity in fast moving, cross functional environments.
Balance between big picture thinking and execution precision, knowing when to dig into details and when to move quickly.
Experience modeling financial, billing, subscription, CRM, or usage based revenue data.
Solid understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.

Technologies

dbt
SQL
Python
Snowflake
LookML
Omni
Looker
GitHub

Benefits

Eligible to participate in equity plan
Comprehensive health, dental and vision coverage
401k match up to 4%
Flexible PTO

Bonus

Early employee at a hyper growth startup
Experience with or knowledge of AI and LLMs
Data engineering experience
Experience managing a data warehouse, preferably Snowflake
Experience at world class enterprise organizations (for example Brex, Ramp, Stripe, Palantir)