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Remote Data Scientist Jobs in Edison, NJ (NOW HIRING)

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Sr. Data Scientist

New York, NY · On-site +1

$226K - $287K/yr

Telecommuting and/or remote employment permitted. Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

Snorkel AI

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads, and Finance What You'll Do * Own Generative AI Analytics: Build and maintain end-to-end infra ...

Ramp

Data Scientist

New York, NY · On-site +1

$137K - $297K/yr

Minimum of 4 years of industry experience as a Data Scientist * Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries * Familiarity with BI tools ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY · On-site +1

$160K - $470K/yr

This Data Scientist / Researcher will collaborate closely with other HOF Capital team members to provide the firm and its portfolio companies with important data-driven insights and to produce high ...

OpenAI

Data Scientist, Cybersecurity

New York, NY · On-site +1

$263K - $515K/yr

About the Team OpenAI's Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams ...

New

Carlyle

Investment Data Scientist

New York, NY · On-site +1

$190K - $220K/yr

This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our ...

DailyPay

Senior Data Scientist

New York, NY · Remote

$136K - $209K/yr

DailyPay is seeking a Senior Data Scientist to join our Data Science team. This is a high-impact individual contributor role for a data scientist who executes complex modeling work with excellence ...

Flagler Health

Senior Data Scientist

New York, NY · Remote

We're hiring a Senior Data Scientist to own the analytics that tell us how the product and the ... Remote is possible for exceptional candidates. * We have video on for our weekly team syncs and ...

New

De Circle

Data Scientist - DyDx

New York, NY · On-site +1

Bachelor's or Master's degree in quantitative fields (Computer Science, Statistics, Economics) or a related field * 4+ years of experience in data science, analytics, product analyst or a similar ...

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Showing results 21-40

All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Edison, NJ

Remote Data Scientist information

See Edison, NJ salary details

$38.8K

$127.1K

$203.4K

How much do remote data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data scientist in Edison, NJ is $127,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Edison, NJ?

The most popular types of Data Scientist jobs in Edison, NJ are:

What are popular job titles related to Remote Data Scientist jobs in Edison, NJ?

For Remote Data Scientist jobs in Edison, NJ, the most frequently searched job titles are:

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The top searched job categories for Remote Data Scientist jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Remote Data Scientist jobs?

Cities near Edison, NJ with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.

Sr. Data Scientist

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New York, NY • On-site, Remote

$226K - $287K/yr

Full-time

Posted 24 days ago

Job description

Job Duties: Deep strategic analysis to answer core business and operational questions including assessing the trade-off between metrics change, evaluating overall impact of changes of ads ecosystem. Write clear, actionable data and business analyses that help teams identify areas of improvement and investment. Build segmentation models to assess supply to inform pricing strategy. Improve decision velocity and quality using data scientist tool kit as well as experimentation, causal inference techniques. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results including building tools for experiment analysis. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments, including spanning from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data). Telecommuting and/or remote employment permitted.

 Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the job offered or in a related position.

 Special Skill Requirements: Must have at least three (3) years of experience in each of the following:

  1. Advanced SQL proficiency for large-scale data analysis in distributed data warehouse environments such as Presto, Spark SQL, and Hive.
  2. Strong Python proficiency for large-scale data analysis and modeling, including the use of pandas, NumPy, stats models, and scikit-learn, as well as building robust analysis pipelines and production-ready notebooks or scripts.
  3. Deep expertise in applied machine learning and algorithmic modeling, including model development, evaluation, and optimization for real-world product use cases.
  4. Expertise in designing and analyzing online experiments for product changes, including power analysis, variance reduction, guardrail design, and heterogeneous treatment effect analysis on key metrics.
  5. Ability to structure ambiguous product questions into clear analytical roadmaps and deliver recommendations with quantified impact, risks, and assumptions.
  6. Expertise in causal inference for observational analyses, including methods such as propensity score matching/weighting and difference-in-differences, to estimate incremental impact and control for confounding factors.
  7. Experience defining and governing metrics and instrumentation, including event taxonomy, deduplication rules, attribution windows, metric specifications, data contracts, and lineage, to ensure consistency and reliability.
  8. Experience building scalable dashboards and automated insight-generation workflows to monitor core metrics, surface anomalies, and deliver stakeholder-ready insights for cross-functional partners.
  9. Experience conducting funnel and ecosystem analyses to identify bottlenecks, quantify trade-offs, and prioritize high-leverage product opportunities.
  10. Experience performing segmentation and cohort analyses to understand differences in engagement and retention, and to inform targeted interventions.
  11. Experience building clustering and segmentation models to identify meaningful user segments and usage scenarios.
  12. Strong statistical modeling and inference skills to quantify effects, measure uncertainty, and communicate statistical significance appropriately.

Telecommuting and/or remote employment permitted.

 Salary: $226,089.00 - $287,749.00 per annum.

Reference #: L25-172716

This position is not available for relocation assistance.

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