ZipRecruiter

Log In

2

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

OpenX

Data Scientist III

New York, NY · Remote

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data science projects end-to-end from problem formulation and research through to deploying and maintaining ...

OpenX

Data Scientist III

New York, NY · On-site

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data science projects end-to-end from problem formulation and research through to deploying and maintaining ...

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 ...

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 ...

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Master's degree or foreign equivalent in Operations Research, Data Science, or related field. * Will also accept Bachelor's degree or foreign equivalent in Operations Research, Data Science, or ...

Flagler Health

Senior Data Scientist

New York, NY · Remote

The Role: We're hiring a Senior Data Scientist to own the analytics that tell us how the product and the business are actually performing. This is a product and operational analytics role, not a ...

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 ...

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 ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for ... For team members who work outside those cities, Found also supports fully remote working.

previous pagenext page

Showing results 21-40

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

Remote Data Scientist information

See Rutherford, NJ salary details

$38.2K

$125.1K

$200.3K

How much do remote data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data scientist in Rutherford, NJ is $125,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,600.00 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 Rutherford, NJ?

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

What job categories do people searching Remote Data Scientist jobs in Rutherford, NJ look for?

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

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

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

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Rutherford, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $125,124 per year, or $60.2 per hour.

Data Scientist III

OpenX

New York, NY • Remote

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data science projects end-to-end  from problem formulation and research through to deploying and maintaining production models. In this role, you will build production-ready models and analyses that solve real marketplace problems, partner with product and engineering to ship them, mentor junior scientists, and act as a strong technical voice within your team.
Problems at this level include bidding and yield modeling, relevance and prediction systems at exchange scale, experimentation and causal measurement of marketplace changes, and the feature engineering, validation, and monitoring required to run ML reliably in production.
The ideal candidate brings a solid applied machine learning foundation, growing judgment in selecting methods for business problems at scale, and a track record of carrying analytical work from an ambiguous question through to measurable production impact.
Key Responsibilities:
  • Modeling & Technical Execution:
    • Own the end-to-end data science lifecycle for moderately complex models and significant project components — spanning data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining.
    • Apply expertise across several core areas of machine learning and statistics (e.g., gradient-boosted models, deep neural networks, time series, causal inference concepts, experimentation design), selecting appropriate methods for complex data science problems.
    • Write efficient, modular, well-tested code for data processing, feature engineering, and model training/inference, leveraging distributed tooling (e.g., Vertex AI pipelines, Dataflow, BigQuery) where appropriate.
    • Design and implement robust validation frameworks for complex experiments and models, accounting for potential biases and real-world performance.
    • Troubleshoot complex model performance issues, data anomalies, and code bugs effectively with little guidance.
  • Execution & Collaboration:
    • Define analytical approaches and scope data science projects for moderately complex or ambiguous business problems.
    • Partner with product managers and stakeholders to define success metrics and experiment goals, and to translate marketplace problems into data science solutions.
    • Lead the design and analysis of experiments (e.g., A/B tests, switchback) for your projects, and interpret complex model results and experimental outcomes with a focus on actionable insights and business outcomes.
    • Proactively identify opportunities within your domain where data science can provide significant value, and initiate exploration.
    • Follow and help improve established team processes for coding standards, documentation, reproducibility, and experimentation.
  • Mentorship & Influence:
    • Mentor DS I and DS II scientists, providing technical guidance, reviewing code, analyses, and models, and supporting their growth in analytical and modeling skills.
    • Influence technical decisions within the team regarding modeling choices, validation strategies, and tooling through well-reasoned arguments and expertise.
    • Drive improvements to team standards, data science best practices, and analytical rigor; take ownership of specific team practices or technical components (e.g., a feature store component, leading experimentation reviews).
    • Educate stakeholders on the capabilities and limitations of data science models, and clearly explain complex methodologies and findings to both technical and non-technical audiences.
    • Participate actively in recruiting, providing high-quality, graded interview feedback for candidates up to this level.
Required Qualifications:
  • B.S. or M.S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related field with 2+ years of relevant experience.
  • Demonstrated ability to independently own the full data science lifecycle from problem formulation and feature engineering through model deployment, monitoring, and ongoing maintenance.
  • Solid expertise in several core areas of machine learning and/or statistics (e.g., gradient-boosted models, deep neural networks, time series, causal inference, experimentation design), with the judgment to select appropriate methods for complex problems.
  • Strong foundation in probability and statistics, including techniques that scale to large datasets.
  • Experience designing and analyzing experiments (e.g., A/B testing) and building robust model and experiment validation frameworks.
  • Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch.
  • Ability to write efficient, modular, well-tested code and to collaborate with engineering to move models and analyses into production.
  • Strong communication skills, including the ability to convey complex technical concepts to both technical and non-technical audiences.
Desired Characteristics:
  • Experience developing, evaluating, or optimizing models or bidding algorithms for RTB environments.
  • Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform.
  • Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow.
    Familiarity with other programming languages such as Java and Go.
  • Experience working in digital media, marketing technology, or advertising technology, especially in marketplace, auction, or exchange systems.
  • Experience supporting and improving production ML models beyond their initial deployment.
  • Experience mentoring junior data scientists.
Pursuant to any state, local ordinance, or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. 

OpenX is committed to fair and equitable compensation practices. For all applicants, the base salary range is noted above, per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. 

A summary of our benefits, which include medical, dental, vision, 401k, equity and more, can be viewed here: https://www.openx.com/company/careers/ A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.  

OpenX VALUES
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE
We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC
We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS
We are all owners of OpenX
We all have a voice to improve OpenX
We stake our personal and professional reputations on the excellence of our work
We are not interested in just "doing our jobs"; we take ownership to drive results

WE ARE AN OPEN BOOK
We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. 

WE EVOLVE FAST
We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX TRAITS
Our three traits capture what makes a great team member at OpenX.

HUMBLE
Ideal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning.

DRIVEN
Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.

SMART
Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment.

OpenX is committed to equal employment opportunities.
It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

OpenX Applicant Privacy Policy
Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.

Effective Date: November 21, 2024