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Remote Equine Assisted Learning Jobs in New York

Fish & Richardson

Senior eDiscovery Analyst

Manhattan, NY · Remote

$101K - $128K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... Learning/technology assisted review, and generative AI review tools). * Relativity Certified ...

Harris

Quality Assurance Analyst

New York, NY · On-site +1

$55K - $65K/yr

Ability to manage priorities, meet deadlines, and work independently in a remote team environment ... Openness to learning and responsibly applying AI-assisted tools to improve testing efficiency ...

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Remote Equine Assisted Learning information

What is remote equine assisted learning?

Remote Equine Assisted Learning is a therapeutic and educational process that uses the presence and behavior of horses to facilitate personal growth and learning, conducted virtually rather than in person. Participants engage in guided activities and discussions with a facilitator who may use live video feeds or recorded sessions with horses. This approach allows individuals to benefit from equine-assisted techniques even if they cannot physically be present with the horses. It is often used for developing emotional intelligence, leadership skills, and coping strategies. The remote format makes this unique form of learning accessible to a wider audience.

What are the key skills and qualifications needed to thrive as a remote equine assisted learning facilitator?

To thrive as a Remote Equine Assisted Learning Facilitator, you need a background in equine behavior, facilitation skills, and knowledge of experiential learning principles, often supported by relevant certifications such as EAGALA or PATH Intl. Familiarity with video conferencing platforms and online learning management systems is essential for delivering sessions remotely. Excellent communication, empathy, and adaptability are critical soft skills for building trust and engaging clients in a virtual environment. These skills ensure effective learning experiences, participant safety, and the successful achievement of client goals in a remote setting.

What are some common challenges faced by professionals in remote equine assisted learning roles, and how can they be addressed?

Professionals in Remote Equine Assisted Learning often encounter challenges related to effectively engaging clients and maintaining strong connections without in-person interaction. Building rapport and ensuring clear communication can be more complex when working remotely, especially since much of the learning depends on observing subtle cues from both clients and horses. To address these challenges, practitioners typically rely on high-quality video conferencing tools, structured session plans, and ongoing training in virtual facilitation techniques. Regular check-ins and clear feedback mechanisms also help maintain a supportive and productive remote learning environment.

What is the difference between Remote Equine Assisted Learning vs Remote Equine Therapist?

AspectRemote Equine Assisted LearningRemote Equine Therapist
CredentialsTraining in equine-assisted activities, facilitation skillsLicensed mental health or occupational therapy credentials, certifications in equine therapy
Work EnvironmentVirtual sessions, client locations, equine facilitiesVirtual therapy sessions, client homes, clinics
Industry UsageEducational, personal development, team buildingTherapeutic, mental health treatment, rehabilitation

Remote Equine Assisted Learning focuses on educational and developmental activities using horses, often in a virtual or outdoor setting. In contrast, Remote Equine Therapists provide clinical mental health services with specialized therapy credentials. While both roles involve horses and remote work, their goals, credentials, and client outcomes differ significantly.

What are the most commonly searched types of Equine Assisted Learning jobs in New York?

The most popular types of Equine Assisted Learning jobs in New York are:

What are popular job titles related to Remote Equine Assisted Learning jobs in New York?

For Remote Equine Assisted Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Equine Assisted Learning jobs in New York look for?

The top searched job categories for Remote Equine Assisted Learning jobs in New York are:

What cities in New York are hiring for Remote Equine Assisted Learning jobs?

Cities in New York with the most Remote Equine Assisted Learning job openings:

Remote Equine Assisted Learning jobs near you

Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)

Bertelsmann

Manhattan, NY • On-site, Remote

Full-time

Posted 28 days ago

Job description

Company Description
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
Job Description
Penguin Random House is the largest trade publishing company in the world. The Data Science team is seeking an experienced Machine Learning Scientist to drive business-critical forecasting products.
We have a mature machine learning practice with strong infrastructure, supported by data warehouse and DevOps partners. We are transitioning to AI-accelerated development and use modern agentic coding tools like Claude Code to speed up how we build and maintain ML systems, with rigorous quality gates including tests, reproducible workflows, and measurable improvements in model performance and reliability. Experience with agentic workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectively.
This role may be filled at the Senior or Staff level depending on experience and interview performance.
Location: Remote eligible (U.S.), but NYC area preferred.
Specific responsibilities include:
  • Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining cadence, and ongoing reliability improvements.
  • Create and maintain production-safe evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version lineage.
  • Build AI-assisted/agentic development workflows (e.g., Claude Code) to automate repetitive tasks with human review and measurable quality gates.
  • Define success metrics tied to business outcomes; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders.
  • Write production-quality, testable code and support reproducible workflows.
  • Partner across functions to translate business needs into a prioritized technical roadmap and measurable impact.
  • Build and improve forecasts across time horizons and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost.
  • Productize forecast outputs for stakeholders: clear definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape decisions.
  • Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate.
  • Partner with operations, supply chain, inventory, finance, and marketing leaders.

Qualifications
Please apply if you meet the following qualifications - Senior level:
  • 5+ years in applied ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)
  • Strong forecasting expertise (time-series methods, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical methods and probabilistic programming
  • Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms
  • Strong Python (or R) and SQL; writes production-quality, testable code
  • Strong communication and cross-functional collaboration with non-technical stakeholders
  • Experience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)

Additional expectations - Staff level:
  • 8+ years in applied ML/data science, or PhD with 3+ years of applied experience
  • Experience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflows
  • Demonstrated ability to inherit complex systems built by others and make sound architectural decisions with high autonomy
  • Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members

Additional Information
Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location.
The salary range for the Senior level is $180,000-$220,000. The salary range for the Staff level is $210,000-$250,000. All positions are currently eligible for an annual profit award or bonus, subject to company results.
Applications for this role will be accepted through September 6, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.
Disclosure requirements pertaining to the collection of your personal data:
Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.
The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.
You can contact the company's Data Protection Officer at the above-mentioned postal address.
Further information on data protection and your rights can be found here.
We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
All your information will be kept confidential according to EEO guidelines.
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