New York

Data Jobs in New York

109 jobs found

Include remote jobs

1mo ago

Senior Analytics Engineer, Finance

Harvey New York, NY

New York, NY

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 2, 2026).

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)

Compensation

USD 155,000 - 235,000 per year

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1mo ago

Senior Machine Learning Engineer - News

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

1mo ago Closed

$149k - $199k/yr Full time AI Ai Workflows Artificial Intelligence

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Senior Machine Learning Engineer on the News ML Platform within Disney Entertainment and ESPN Product & Technology, onsite in New York, shaping scalable real-time personalized content across ABC News, Good Morning America, and local stations.

Responsibilities

Lead end-to-end technical initiatives from design through production rollout and ongoing reliability
Design and build ML infrastructure covering the full lifecycle, including data pipelines, workflow orchestration, data discovery and quality tooling, and feature libraries
Develop data and ML powered solutions for diverse engineering use cases including recommendations, object detection, autogenerated tagging, and retrieval augmented generation (RAG) solutions
Collaborate with product, editorial, and engineering stakeholders to translate business needs into solid technical solutions
Prioritize initiatives and technical workstreams to maximize impact and timeliness, while proactively identifying and communicating risks and mitigating them to ensure successful execution
Promote engineering best practices in code quality, testing, CI/CD, observability, and incident response
Mentor engineers, fostering ownership, collaboration, and continuous improvement
Contribute to technical documentation and facilitate knowledge sharing across teams

Requirements

Bachelor’s degree in computer science, information systems, statistics, math, or a related field, or equivalent work experience
5+ years building and operating production-grade ML engineering systems
Strong background in data science, deep learning techniques, or statistical methods to address practical engineering challenges
Experience across the full predictive stack, from data collection and analysis to feature engineering, batch training, and low-latency online serving
Proficiency in designing and building backend microservices for large-scale distributed systems using REST
Experience with cloud infrastructure, preferably AWS, including Step Functions, Lambda, Glue, SQS, SNS, and Personalize
Familiarity with building and deploying Spark and ML pipelines
Hands-on experience with big data platforms such as Databricks, Kinesis, and Kafka
Proven leadership, coaching, and mentoring abilities, capable of guiding a team toward business objectives
Experience with observability tools for metrics, logging, and monitoring, including Datadog
Background in Agile or Scrum development approaches
Strong communication skills and a collaborative mindset in a fast-paced, guest-focused setting

Technologies

AWS
Step Functions
Lambda
Glue
SQS
SNS
Personalize
Spark
Databricks
Kinesis
Kafka
REST
Datadog

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1mo ago

Analytics Engineer

Verse Medical New York, NY

New York, NY

1mo ago Closed

$125k - $180k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Verse Medical seeks an Analytics Engineer to bridge data engineering and analytics, building scalable analytic layers that support operations, product, revenue cycle, and go-to-market initiatives. The role ensures data is reliable, accessible, and actionable across the organization, and leads the evolution of production data products.

Responsibilities

Create clean, scalable data models that underpin business operations, executive reporting, and advanced analytics.
Collaborate with functional stakeholders to translate business challenges into robust, scalable data solutions.
Establish a semantic layer, define documentation standards, and implement data freshness SLAs.
Maintain data accuracy, quality, and governance through observability, governance practices, and monitoring.
Enhance data architecture and storage to boost performance, reduce costs, and optimize both batch and real-time workflows.
Contribute to PHI-adjacent modeling work with governance-minded data separation practices.
Own the reliability and evolution of production data products, guiding initiatives from concept through delivery.
Operate with initiative and autonomy in a fast-paced, mission-driven environment.

Requirements

Minimum of 4 years of experience in data engineering, analytical engineering, or analytics roles with strong dbt ownership.
Deep dbt proficiency, including ownership of project structure, source definitions, test coverage, documentation, and change management.
Strong SQL and Python skills, with a track record of building complex, high-performance queries.
Familiarity with modern data stack tools including cloud data warehouses (Snowflake preferred) and BI tools (Metabase, Tableau, Looker, or similar).
Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets.
Solid 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 and business intelligence migrations.
Preferred: Familiarity with healthcare or other regulated data, including HIPAA compliance.

Technologies

dbt
SQL
Python
Snowflake
Metabase
Tableau
Looker

Benefits

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

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1mo ago

Manager, Strategy, Data & Analytics – Club Business Development

National Football League New York, NY

New York, NY

1mo ago Closed

$90k - $125k/yr Full time Manager Analytics B2B

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

A single sentence context: The NFL seeks a Manager, Strategy, Data & Analytics for Club Business Development to drive club benchmarking, revenue strategy across ticketing, premium seating, sponsorship and media, and data driven modeling for League tentpole events.

Responsibilities

Lead creation and delivery of club benchmarking reports covering ticketing, premium seating and suites, and local sponsorship and media, ensuring outputs are precise, actionable, and easy for stakeholders to digest and implement.
Build, maintain, and enhance ticket revenue models to inform League event strategy (including Super Bowl, International Games, Pro Bowl Games) with demand forecasting, pricing, and revenue optimization analyses.
Design and refine Excel based tools and data collection frameworks to improve efficiency, scalability, and consistency across Club BD workflows.
Analyze club and League data (ticket sales, pricing, premium, sponsorship) to identify trends, performance gaps, and revenue opportunities.
Collaborate closely with the Club Consulting team to translate analysis into practical recommendations that drive local business performance.
Support pricing and sales strategy workstreams for tentpole events through detailed quantitative analysis.
Streamline existing reporting processes and models to reduce manual effort, improve data integrity, and accelerate turnaround time.
Assist in preparing materials for club workshops, League meetings, and market engagements.
Collaborate cross functionally with internal partners (Club Finance, Marketing, Data & Analytics) to align inputs, assumptions, and outputs across initiatives.
Build and maintain organized, well documented datasets and models to serve as a reliable source of truth for the broader team.
Support the broader Club BD team on ad hoc projects, including League tentpole event execution.

Requirements

Technical: Advanced expertise in Microsoft Excel with complex financial modeling, data structuring, and building scalable tools; strong PowerPoint skills for executive ready communications; curiosity about how AI tools like Microsoft Copilot can drive efficiencies; experience with data visualization tools such as Power BI or Tableau is a plus.
Analytics & Modeling: Solid foundation in financial analysis, revenue modeling, and forecasting; ability to translate business questions into structured analytical modeling approaches; meticulous attention to accuracy, assumptions, and outputs.
Communication: Clear ability to convey insights and recommendations to both technical and non technical audiences; comfortable presenting to groups.
Professional Competencies and Work Ethic: Highly collaborative and results driven; strong communication skills; capable of multitasking with excellent time management and organization; self starter, independent, creative, and critical thinker with ambition and attention to detail; committed to ethical business interactions.
Education and Work Experience: Minimum 5 years of experience in financial services, management consulting, or strategy and analytics; Bachelor’s degree required in fields such as Data Science, Business Analytics, Statistics, Economics, Finance, Industrial Engineering, Computer Science, Operations Research, or other quantitative disciplines.

Technologies

Microsoft Excel
PowerPoint
Microsoft Copilot
Power BI
Tableau

Salary

USD 90,000 - 125,000 per year

Location

New York, NY onsite

Hours / Terms

40 hours per week. Onsite only; remote and hybrid arrangements are not offered.

Benefits and Workplace Information

Onsite work at NFL offices or stadium locations; remote or hybrid work options are not provided.
No relocation assistance provided.
Dedicated commitment to an inclusive work environment with equal employment opportunities for all applicants and employees.
Core values include Respect, Integrity, Team Responsibility, and Resiliency.
Leadership attributes emphasize Talent development, execution, inspiration, living values, business knowledge, and big thinking.
Talent attributes describe an enthusiastic, proactive, ego-free attitude with strong relationship building, a passion to learn, excellent work ethic, and agile thinking.

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1mo ago

Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising

Amazon.com Services LLC New York, NY

New York, NY

1mo ago Closed

$158k - $214k/yr Full time Ad Tech Automl AWS

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Amazon Advertising is seeking a Machine Learning Engineer II for Sponsored Products Search Sourcing. This onsite role in New York, NY involves building and optimizing large-scale ML services for ad serving on Amazon search, mentoring junior engineers, and engaging with NLP/LLM, deep learning, and image processing. The position offers a salary range of USD 158,100 to 213,800 per year.

Responsibilities

Shape the direction of technical solutions across diverse technologies, including deep learning, AWS, AutoML, and real-time ML serving systems.
Design, develop, and deploy production software to support scalable offline machine learning pipelines and online serving components.
Collaborate with applied scientists to optimize model performance, enhance the team’s ML productivity, and strengthen the technical foundation enabling scientific innovation, with ownership of your creations.

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems
Experience programming with at least one software programming language
Experience building complex software systems that have been successfully delivered to customers

Technologies

AWS
AutoML

Benefits

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

About the Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and cu

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2mo ago

Senior Staff Data Engineer (Ad Tech Team - AWS experience required)

Warner Bros. Discovery New York, NY

New York, NY

2mo ago Closed

$175k - $325k/yr Full time Ad Tech Analytics Cloud Architecture

This position is no longer accepting applications (closed Jun 26, 2026).

Job Description

Lead the design and delivery of high-volume data pipelines for billions of ad events daily on Warner Bros. Discovery's Ad Tech Team, onsite in New York, NY, with a compensation range of USD 175,070 to 325,130 per year.

Responsibilities

Design and maintain ingestion, ETL, and activation pipelines supporting real-time and batch processing of multi-billion event datasets.
Optimize data workflows for latency, reliability, and scalability in cloud-native environments.
Modernize legacy ad-tech systems into open, lakehouse-based architectures (Iceberg, Delta, Hudi) for unified analytics and monetization.
Embed observability, data lineage, and automation frameworks to reduce technical debt and improve resiliency.
Partner with Data Science to operationalize ML models for forecasting, optimization, and personalization.
Ensure downstream data delivery into ad servers, identity systems, and activation platforms is low-latency and privacy-compliant.
Act as a domain expert in distributed systems, streaming, and big data engineering.
Mentor junior engineers, share best practices, and elevate engineering standards across global teams.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD may be preferred for advanced distributed systems or statistical optimization.
12+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
Hands-on experience with AWS, GCP, or Azure; familiarity with open table formats (Iceberg, Delta, Hudi) and distributed compute (Spark, Flink, Presto).
Deep knowledge of streaming systems such as Kafka, Kinesis, or Pub/Sub to power low-latency ingestion and activation.
Strong background in CI/CD, automation, observability, and governance frameworks for enterprise-grade data engineering.
Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.
Ability to collaborate with data scientists, product teams, and platform engineers while mentoring junior engineers.

Technologies

AWS
GCP
Azure
Iceberg
Delta
Hudi
Spark
Flink
Presto
Kafka
Kinesis
Pub/Sub

Benefits

Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Paid sick time and vacation
Annual bonuses
Short-term incentives
Long-term incentives
Program-specific awards

Your New Role

The Senior Staff Data Engineer is accountable for designing and delivering data pipelines that process billions of ad events daily across WBD's global ecosystem. This role sets technical standards for distributed data engineering, drives modernization of legacy workflows into modular cloud-native systems, and ensures mission-critical data is delivered reliably, securely, and cost-efficiently for monetization and decisioning.

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2mo ago

Health Data Analyst - AI Trainer

DataAnnotation Melville, NY 🇺🇸 Remote

Melville, NY

2mo ago Closed

$40 - $60/hr Full time Ai Trainer Analyst Analytics

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

DataAnnotation is seeking a remote Health Data Analyst - AI Trainer to evaluate AI generated quantitative work and create training tasks that benchmark and improve AI systems focused on quantitative reasoning.

Responsibilities

Assess AI generated quantitative outputs for technical accuracy and real-world validity across statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well documented analytical code.
Provide actionable feedback that informs the next generation of AI models built for quantitative reasoning.

Requirements

Minimum of 2 years in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related field.
Some coding experience with the ability to write and review analytical code end to end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time series forecasting).
Fluency in English with strong writing skills.
Bachelor’s degree in a quantitative field is preferred; a master’s or PhD is a plus.
Relevant credentials or demonstrated expertise are advantageous (for example, Kaggle rankings, AWS or GCP ML certifications).

Benefits

Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule to choose projects and set your own working times.
Competitive hourly pay, up to $60 USD per hour, with opportunities for higher rates based on performance.
Impactful work that helps shape AI systems designed to reason about data and analytics.

Notes

Payment is processed via PayPal. The company will not request money from applicants.
This opportunity is open to candidates in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.