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Data Science Instructor Remote Jobs in Freeport, NY

Xforia, Inc.

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Configure and provide availability for data-access tools used by all data scientists. Skill Sets ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ... Partner with data scientists, analysts, and software engineers to translate business requirements ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

ROLE SUMMARY Develop data infrastructure for data scientists and ensure appropriate and efficient ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

Alpaca

Lead, Data Governance

New York, NY · Remote

... remote. This is an individual contributor role with no direct reports. You'll report to our Chief Information & Security Officer (CISO) and work closely with Data Engineering and Data Science through ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

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All JobsData Science Instructor JobsData Science Instructor Remote JobsData Science Instructor Remote Jobs in Freeport, NY

Data Science Instructor Remote information

See Freeport, NY salary details

$13.8K

$59.9K

$102.6K

How much do data science instructor remote jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science instructor remote in Freeport, NY is $59,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $68,400.00 per year, depending on experience, location, and employer.

What does a data science instructor remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

What are the key skills and qualifications needed to thrive as a data science instructor remote, and why are they important?

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.

What are some common challenges faced by remote data science instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What is the difference between Data Science Instructor Remote vs Data Analyst Remote?

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are popular job titles related to Data Science Instructor Remote jobs in Freeport, NY?

For Data Science Instructor Remote jobs in Freeport, NY, the most frequently searched job titles are:

What job categories do people searching Data Science Instructor Remote jobs in Freeport, NY look for?

The top searched job categories for Data Science Instructor Remote jobs in Freeport, NY are:

What cities near Freeport, NY are hiring for Data Science Instructor Remote jobs?

Cities near Freeport, NY with the most Data Science Instructor Remote job openings:

Data Science Instructor Remote jobs near you
Infographic showing various Data Science Instructor Remote job openings in Freeport, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $59,930 per year, or $28.8 per hour.

RevOps Data Analyst

Claroty

New York, NY • On-site, Remote

$100K - $110K/yr

Full-time

Re-posted 2 days ago

Job description

Description
We're growing and looking to hire a RevOps Data Analyst who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We're a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
About the Role:
Are you a data-driven strategist who loves turning raw numbers into actionable growth? As our RevOps Data Analyst, you will be the analytical engine driving our Go-To-Market (GTM) strategy and execution. You won't just mine data-you will translate it into powerful, usable insights that shape the future of our revenue organization. Partnering cross-functionally with leadership, Finance, and GTM teams, you will own our data models, maintain our reporting infrastructure, and track the leading and lagging indicators that propel our business forward.
Responsibilities
As a RevOps Data Analyst, your impact will be:
  • Data Modeling & Analysis: Mine, clean, and analyze complex datasets to identify trends, build predictive data models, and deliver high-impact strategic insights.
  • GTM Strategy & Execution: Define, track, and report on key leading and lagging performance indicators for the RevOps and broader GTM organizations.
  • Reporting & Dashboards: Own and manage the deployment of interactive dashboards, documentation of data definitions, and overall reporting infrastructure to ensure a single source of truth.
  • Cross-Functional Collaboration: Partner closely with other business units (such as Finance) to support data requests, align key metrics, and streamline cross-functional workflows.
  • Insight Delivery: Translate intricate data findings into clear, executive-ready recommendations that support strategic decision-making.

Requirements
What you need to succeed in this role:
  • Education: Bachelor's degree in Data Science, Business Analytics, Finance, Statistics, or a related field.
  • Experience: 3-5 years of relevant professional work experience in data analysis, data science, or revenue operations.
  • Domain Expertise: Proven experience working directly within a RevOps or GTM function (Sales, Marketing, or Customer Success operations).
  • Technical Proficiency: Demonstrated experience building sophisticated data models, managing data definitions, and maintaining BI infrastructure.

Preferred Qualifications
  • Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks).
  • Familiarity with leveraging AI technologies and machine learning tools for predictive data analysis.
  • Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker).

About Claroty
Claroty empowers organizations to protect the mission-critical infrastructure that underpins modern life. The AI-powered Claroty Platform serves as the single source of operational truth, providing the deepest visibility and broadest protection across cyber-physical systems (CPS), leveraging five core solutions: asset inventory, exposure management, network protection, secure access, and threat detection. Claroty helps organizations operationalize CPS protection through a programmatic approach designed to reduce risk, maintain operational integrity, and meet compliance-whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Claroty is deployed by hundreds of organizations at thousands of sites globally. The company is headquartered in New York City and has a presence in Europe, Asia-Pacific, and Latin America. To learn more, visit claroty.com.
The expected base salary range for this role is between $100,000 - $110,000, determined by objective criteria including skills, qualifications, and experience level. This range represents base salary only and does not include variable compensation components such as equity or bonuses. Details regarding the broader total rewards package will be shared prior to interviews. Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL backgrounds, and special accommodations are available upon request in all selection phases.
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