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Postdoc Data Science Remote Jobs in Princeton, NJ

BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or ... A hybrid in-office approach, enabling remote work a portion of each week * Health Care Plan ...

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 ...

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

You will work closely with our Engineering, Data Science, Product, and Operations teams to build ... For team members who work outside those cities, Found also supports fully remote working.

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

... with remote, shore-based research and scientific support. The successful candidate will be ... Collect, process, analyze, and document biological and environmental samples and associated data ...

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

Role can be HYBRID or REMOTE, but must be in EST time zone, prefers the candidate lives in NJ or PA ... This candidate will provide technical support to the MSAT Material Science team on a variety of ...

Showing results 21-40

Postdoc Data Science Remote information

See Princeton, NJ salary details

$60.3K

$71.3K

$135.2K

How much do postdoc data science remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for postdoc data science remote in Princeton, NJ is $71,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $62,400.00 per year, depending on experience, location, and employer.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.
What are popular job titles related to Postdoc Data Science Remote jobs in Princeton, NJ? For Postdoc Data Science Remote jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Princeton, NJ look for? The top searched job categories for Postdoc Data Science Remote jobs in Princeton, NJ are:
Infographic showing various Postdoc Data Science Remote job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,323 per year, or $34.3 per hour.

Data Scientist

TickPick

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 hours ago


Job description

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We're looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes - such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas - and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business - communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that's making data a priority, this is the role for you. You'll have the opportunity to touch many aspects of the business.

Core Responsibilities:
  • Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.
  • Build, deploy, and maintain machine learning models in production - operationalizing them in a sustainable, maintainable way.
  • Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.
  • Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

Requirements

  • BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
  • 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.
  • Demonstrated experience operationalizing ML models in production - either independently or alongside an engineering team.
  • Experience working with platforms such as Snowflake and Databricks.
  • Proficient in one or more programming languages, such as Python.
  • Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more. 
  • Strong planning, communication, and problem-solving skills.
Strongly Desired Attributes:
  • A track record of getting stakeholder buy-in and commitment on experiments and initiatives - communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
  • Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
  • Experience working with data modeling software and on teams with data modelers.
  • Experience using analytical approaches to problem-solving with large volumes of data.
Nice to Have:
  • Experience with marketplace businesses and dynamic pricing.
  • A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

Benefits

  • A hybrid in-office approach, enabling remote work a portion of each week
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan Contribution (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development
  • $100 Monthly Stipend to Attend Live Events
  • Employee Outings
  • Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company's equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization's culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.