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

Investment Data Scientist

New York, NY ยท 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 ...

AlpInvest Embedded Data Scientist

New York, NY ยท On-site +1

$180K - $200K/yr

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and CoInvestments. This role sits at the ...

Senior Data Scientist

New York, NY ยท 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 ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

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 ยท 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.

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 ...

We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge ...

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

New

Data Scientist, Risk

New York, NY ยท 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 ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ ยท On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ ยท On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role.YOUR TASKS AND RESPONSIBILITIES ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

Showing results 21-40

Remote Data Scientist information

See Ridgewood, NJ salary details

$37.9K

$124.2K

$198.8K

How much do remote data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data scientist in Ridgewood, NJ is $124,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $137,600.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

What are the most commonly searched types of Data Scientist jobs in Ridgewood, NJ? The most popular types of Data Scientist jobs in Ridgewood, NJ are:
What are popular job titles related to Remote Data Scientist jobs in Ridgewood, NJ? For Remote Data Scientist jobs in Ridgewood, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Ridgewood, NJ look for? The top searched job categories for Remote Data Scientist jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Remote Data Scientist jobs? Cities near Ridgewood, NJ with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,185 per year, or $59.7 per hour.

Senior Insurance Data Scientist

Independence Pet Group

New York, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal.
Job Location: Remote (U.S.) Teams with hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH
Job Summary
We are seeking a Lead Data Scientist with hands-on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading pricing model development, driving analytical best practices, and serving as a subject matter expert in insurance pricing.
You will own projects end-to-end - from scoping to delivery - and balance a portfolio of 2-4 concurrent initiatives across pricing, research, and model enhancement. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and non-technical audiences.
You will partner closely with actuarial, product, engineering, and business stakeholders while helping shape the analytical culture of the team.
What You'll Do
Pricing & Modeling Leadership
  • Develop, refine, and maintain GLM-based pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
  • Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
  • Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.

End-to-End Project Ownership
  • Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
  • Manage a rotating portfolio of 2-4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.

Data Exploration & Analytical Insight
  • Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
  • Perform advanced root-cause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
  • Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.

Communication & Influence
  • Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
  • Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and cross-functional partners.

Team Leadership & Mentorship
  • Mentor junior team members and contribute to elevating data science best practices across the organization.
  • Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and high-trust team environment.

Required Qualifications
  • Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
  • At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
  • Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Deep understanding of GLMs, regression modeling, and statistical inference.
  • Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Ability to manage multiple priorities in a fast-paced environment with a small, high-impact team.
  • Strong problem-solving skills, critical thinking, and attention to detail.

Preferred Qualifications
  • Experience with Snowflake, Databricks, or SQL Server.
  • Familiarity with data warehousing concepts.
  • Hands-on experience with WTW Radar, Emblem, or Earnix.
  • Experience building dashboards in Power BI or similar tools.

Who Thrives Here
This role is ideal for someone who:
  • Enjoys owning complex analytical work from start to finish.
  • Can balance multiple projects without losing quality or momentum.
  • Communicates with clarity, confidence, and humility.
  • Wants to grow into a pricing SME and influence decisions across the business.
  • Values both leading and following depending on what the project requires

#LI #carrier
All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)

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