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Top Data & Analytics Jobs in New York City, NY

2,317+ Job Results
5 Days Ago
New York City, NY
Remote
7,509 Employees
Expert/Leader
7,509 Employees
Expert/Leader
Cloud • Information Technology • Software
As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.
Top Benefits:
401-K
Company Outings
Dental Insurance
+19 More
6 Days Ago
New York City, NY
Remote
689 Employees
Senior level
689 Employees
Senior level
Cloud • Marketing Tech • Sales • Software
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
Top Benefits:
401-K
Company Equity
Company Outings
+31 More
6 Days Ago
New York City, NY
Remote
617 Employees
260K-300K Annually
Senior level
617 Employees
260K-300K Annually
Senior level
Software
The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.
Top Benefits:
401-K
Company Equity
Company Outings
+18 More
6 Days Ago
New York City, NY
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
6 Days Ago
New York City, NY
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
6 Days Ago
New York City, NY
Remote
517 Employees
Entry level
517 Employees
Entry level
Information Technology • Consulting
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
6 Days Ago
New York City, NY
Remote
38 Employees
Entry level
38 Employees
Entry level
Software
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
6 Days Ago
New York City, NY
Remote
96 Employees
Senior level
96 Employees
Senior level
Software
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
6 Days Ago
New York City, NY
Remote
102 Employees
Senior level
102 Employees
Senior level
Fintech • Professional Services • Financial Services
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
Top Benefits:
401-K
Company Equity
Company Outings
+21 More
6 Days Ago
New York City, NY
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
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