ZipRecruiter

Log In

2

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

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit decisioning-from application intake through approval-across every acquisition channel: direct affiliates ...

Paramount

Senior Data Scientist

Manhattan, NY · On-site +1

$124K - $186K/yr

Overview We are seeking a Senior Data Scientist who is excited to build the data products that shape Paramount's DTC business strategy, optimize our content strategy, and inform our marketing ...

Meta

Data Scientist (Technical Leadership)

New York, NY · On-site +1

$210K/yr

As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering ...

1 point system

Data Scientist

New York, NY · Remote

REQUIRED SKILLS * Hands-on experience working in Databricks * Building ML models (not just evaluating outputs) * Neural networks + tree-based models * Optimization exposure (even classical methods)

Arlyn AI

Principal / Senior Data Scientist

New York, NY · Remote

$175K - $255K/yr

Principal / Senior Data Scientist We're looking for a data-driven problem solver to leverage large language models (LLMs) and transform unstructured data into data ontologies and actionable insights ...

Spotify

Data Scientist - Music Mission

New York, NY · On-site +1

$116K - $167K/yr

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most.

Spotify

Data Scientist - Music Mission

New York, NY · Remote

$116K - $167K/yr

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most.

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ...

Kontakt.io

Data Scientist Lead

New York, NY · Remote

As a Data Science Lead , you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end ...

previous page

Showing results 41-60

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 - Blockchain Intelligence

Merkle Science

New York, NY • On-site, Remote

Full-time

Medical

Re-posted 20 days ago

Job description

About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
About the role
We turn raw on-chain activity into trustworthy intelligence - clustering addresses into real-world entities, attributing them to services and actors, and surfacing risk for compliance and investigations teams. We're looking for a data scientist who is as comfortable shipping a heuristic to production as they are designing it: someone who can move from a messy hypothesis to a working pipeline without waiting on someone else to wire up the data.
You'll work closely with our attribution and clustering leads on models and heuristics that run across billions of transactions and multiple chains (Bitcoin, Ethereum, Tron, Solana, and more).
What you'll do
  • Design, test, and ship clustering and attribution heuristics, and measure them with real precision/coverage metrics rather than vibes.
  • Own your data end to end - pull, clean, join, and model large on-chain datasets without depending on a separate team for every query.
  • Build and maintain the pipelines that take a heuristic from notebook to production, including backfills, incremental runs, and validation.
  • Investigate edge cases (mixers, bridges, exchange hot wallets, consolidation patterns) and translate findings into repeatable logic.
  • Partner with investigations and product to define what "correct" looks like and benchmark against ground truth.
  • Prototype quickly, then harden what works.
What we're looking for
  • 4+ years building data science or data engineering systems that actually shipped (not just notebooks).
  • Strong Python and SQL; comfortable with large datasets and the gotchas of joins, dedup, and skew at scale.
  • Solid grasp of clustering, graph/network analysis, or entity resolution - and a habit of validating results, not just producing them.
  • Ability to reason about precision vs. coverage trade-offs and defend your metrics.
  • Self-directed: you can scope an ambiguous problem, get the data yourself, and drive it to a result.

Our tech stack
You don't need to have used all of these, but here's what you'd be working with day to day:
  • Databricks - our lakehouse and processing backbone. Large-scale on-chain datasets are transformed and modeled here via Spark and SQL; most heuristics run as Databricks jobs against billions of transactions.
  • Kafka - real-time ingestion of on-chain and transaction data. New blocks and events stream in continuously, so a lot of our work is designed to run incrementally rather than as one-off batch jobs.
  • Python - the primary language for everything from exploratory analysis to production heuristics and pipeline code.
  • TigerGraph - our graph database, where addresses, transactions, and entities live as a network. Clustering, traversals, and relationship queries (who funds whom, consolidation paths, entity linkage) happen here.

Supporting cast you'll likely touch:
  • SQL everywhere - for ad-hoc analysis, validation, and defining ground-truth datasets.
  • Columnar / analytical stores (e.g., ClickHouse) for fast aggregate queries over large tables.
  • Orchestration & scheduling for backfills and recurring pipeline runs.
  • Git / GitHub for version control and code review - we expect pipelines and heuristics to be reviewed like any other code.
  • GCP as our cloud environment.
How we work
Small, high-trust team. You'll have a lot of ownership and very little bureaucracy. We prototype fast, measure honestly, and ship.
Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply