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Learning Analytics Remote Jobs in New York (NOW HIRING)

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning ... We have a flexible work environment and allow remote work depending on one's personal choice.

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · Remote

$109K - $149K/yr

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this ... You will leverage advanced machine learning techniques, frameworks, and large datasets to create ...

WES

Instructional Designer (Remote)

Manhattan, NY · On-site +1

$86K - $108K/yr

USA - Remote Who We Are: World Education Services (WES) is a non-profit social enterprise that ... Conduct learning-needs analyses to identify skill gaps and performance goals * Define clear ...

Sublunary

Business Analyst - Junior (Remote)

New York, NY · On-site +1

$29 - $38.75/hr

We are looking for an Entry Level Business Analyst to join the team. You will facilitate business ... A curious mind, who thrives on learning new things * Advanced Microsoft Excel skills is desirable

Sublunary

Business Analyst - Junior (Remote)

New York, NY · On-site +1

$29 - $38.75/hr

We are looking for an Entry Level Business Analyst to join the team. You will facilitate business ... A curious mind, who thrives on learning new things * Advanced Microsoft Excel skills is desirable

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Perform statistical analysis and data exploration to generate datasets for model training ...

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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:
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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.

MLOps Engineer

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Posted yesterday

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice.


Responsibilities:

As the Machine Learning Ops Engineer for the AI Team you will:

  • Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models. Specifically execute continuous integration and continuous delivery (CI/CD) activities to release ML code and ML pipelines into a Production environment
  • Maintain the Machine Learning pipeline and make sure everything is running accurately and reliably
  • Liaise with senior stakeholders across the Data function and the wider business
  • Use industry best practices such as code reviews, pull requests, and peer testing to ensure high quality AI/ML deliverables
  • Build AI/ML model performance benchmarking, evaluation, monitoring capabilities and facilitates resolution of issues with the appropriate teams

SKILLS AND EXPERIENCE


Must Have:

  • Proven industry/commercial/research lab experience (2+ years) deploying machine learning models and maintaining ML pipelines, orchestration, deployment, monitoring, & support
  • Experience creating and maintaining deployment pipelines with CI/CD tools (2+ years)
  • Knowledge of cloud technologies (e.g. AWS) and Extensive Programming experience in Python & SQL
  • Experience in containerization and orchestration (such as Docker, Kubernetes)
  • Practical Knowledge of Machine Learning models in commercial settings
  • Good communication skills

Nice to Have:

  • Experience building batch and/or real-time data & ML pipelines
  • Familiarity with MLflow (or similar platforms like Kubeflow and other tools)
  • Promotes a practice of unifying system development (Dev) and system operations (Ops)

Employment Type: FULL_TIME

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