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

Lead Data Scientist

New York, NY · 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 ...

Data Scientist

New York, NY · Remote

$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 ...

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 ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

TITLE: Sr. Data Scientist LOCATION: New York City, London or Jacksonville (Hybrid) SALARY : 160,000 - 180,000 base + bonus & equity (based on NYC, will be adjusted for geo) The Role: We are seeking ...

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 ...

Senior Data Scientist

New York, NY · On-site +1

$175K - $200K/yr

As a Data Scientist on our team, you'll be responsible for building, improving, and maintaining the key ML models that enable our services. The key problem spaces we are focused on are: * Identifying ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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.

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Showing results 1-20

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 Jul 18, 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 are the key skills and qualifications 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.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

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.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

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.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
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:
Infographic showing various Remote Data Scientist job openings in Rutherford, NJ as of July 2026, with employment types broken down into 2% Internship, 80% Full Time, 7% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,124 per year, or $60.2 per hour.
Lead Data Scientist

Lead Data Scientist

Snorkel AI

New York, NY • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
Our Data & Analytics Platform team recently migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months. We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate to Generative AI Analytics and Snorkel's highest-leverage data science problems.
This is a senior individual contributor role with no direct reports; just ownership, autonomy, and impact from pioneering new insights and models and building our semantic layer, supply/demand matching algorithms, forecasting models, and other data science foundations that compound.
How you'll allocate your time (estimates subject to change):
  • 40%: Building and maintaining Generative AI Analytics
  • 40%: 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 (semantic layer, LLM tooling, evals, and agents) to analytically empower every team at Snorkel.
  • Protect Quality: Work with Engineering and the Fraud Operations Lead to build, unify inputs for, and deploy fraud detection and contributor quality models.
  • Optimize Marketplace: Architect search, ranking, and recommendation models to match project needs for Expert Contributors across domains and geographies.
  • Improve Forecasting: Build predictive models to help Strategy & Operations and Finance elevate forecast accuracy with signals from across the business.
  • Identify Leverage: Surface the next high-value data science opportunities at Snorkel and build the case for their prioritization with the Head of Data.
  • Advise Leadership: Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI.
Qualifications
  • 5+ years: data science or related experience, with a track record of shipping forecasting, ranking, recommendation, or similar models into production.
  • Tech Stack: SQL, Snowflake or a similar data warehouse, and Python experience.
  • Modern AI Tools: Experience deploying modern AI tools (semantic layers, LLMs, evaluation frameworks) reliably into production.
  • Engineering Collaboration: Proven ability to partner with Engineering teams to bridge the gap from prototype to production system.
  • Agency: Strong track record of impact without a large team or detailed roadmap.
  • 0-to-1 Mindset: Comfortable building foundational systems from scratch in environments where data infrastructure is still maturing.
  • Partnership: Genuinely values engaging technical and operational stakeholders to fully understand a problem and build data-driven solutions.

Bonus Points: Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models.
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).
Pay Range $130,000-$200,000
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.