2

Learning Analytics Remote Jobs in New York (NOW HIRING)

Strategic Partnerships Manager

New York, NY ยท On-site +1

$155K - $200K/yr

As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ... Apply and refine analytical frameworks to prioritize and build a pipeline of partnership targets by ...

Full Stack Engineer (Analytics)

Brooklyn, NY ยท On-site +1

$100K - $150K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a full-stack ... Previous experience in analytics, machine learning or data processing is advantageous. * Excellent ...

Machine Learning Engineer

New York, NY ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

Director of Data & Analytics

New York, NY ยท On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area ... Develop predictive and machine learning models that power personalization, fraud detection ...

New

Director Business Intelligence Data Analysis

NY ยท On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business.Reporting to ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

... analyst, data scientist, or equivalent * Experience with training and deploying NLP deep learning ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

next page

Showing results 1-20

Learning Analytics Remote information

What is a Learning Analytics Remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.
What are the most commonly searched types of Learning Analytics jobs in New York? The most popular types of Learning Analytics jobs in New York are:
What cities in New York are hiring for Learning Analytics Remote jobs? Cities in New York with the most Learning Analytics Remote job openings:
Infographic showing various Learning Analytics Remote job openings in New York as of July 2026, with employment types broken down into 70% Full Time, 16% Part Time, 7% Temporary, and 7% Contract. Highlights an 9% Hybrid, and 91% Remote job distribution.
Machine Learning Scientist, New AI Products and Platforms

Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY โ€ข On-site, Remote

Other

Posted 3 days ago


Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.

  • You will fine-tune and evaluate language models for custom use cases and content enrichment.

  • You will contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important

  • You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs

  • You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches

  • You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

  • 2+ years experience with open source machine learning or statistical analysis tools

  • 2+ years coding experience in Python

  • 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

  • 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

Preferred Qualifications:

  • 1+ years of experience with information retrieval or search systems

  • 1+ years of experience translating ambiguous business questions into machine learning problems

  • 1+ years of experience building data products, either internal or consumer-facing

  • PhD or Master's research experience in Applied AI

REQ-020337