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Data Science Jobs in Metuchen, NJ (NOW HIRING)

About The Role You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and real ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and ...

Associate, Data Science

New York, NY ยท On-site

$64K - $65K/yr

Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

Data Science Manager

New York, NY ยท On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

New York, NY ยท On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science and AI TheData Scienceteamispivotal in the delivery of modern agency services.We are tightly integrated withmarketing scienceteams to deliver on and exceed our clients'business goals.

Senior Specialist, Data Science

Rahway, NJ ยท Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

Data Science Analyst

New York, NY ยท On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Showing results 21-40

Data Science information

See Metuchen, NJ salary details

$37.6K

$123.1K

$197.1K

How much do data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science in Metuchen, NJ is $123,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $136,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What cities near Metuchen, NJ are hiring for Data Science jobs?

Cities near Metuchen, NJ with the most Data Science job openings:

Infographic showing various Data Science job openings in Metuchen, NJ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,084 per year, or $59.2 per hour.

Applied Scientist, Data Science

Prior Labs

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Who we are
Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.
We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.
We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schรถlkopf and Turing Award winner Yann LeCun.
In July 2026, less than 18 months after our โ‚ฌ9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than โ‚ฌ1 billion over four years.
About The Role
You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and real-world applications - experimenting hands-on with our tabular foundation models (including TabPFN) to uncover new applications, working directly with customers to show how native tabular AI solves problems traditional methods can't, and translating what you learn back into our product roadmap.
How You'll Drive Impact:
Applied Data Science & Experimentation: Identify high-impact use cases for TFMs and build proof-of-concepts that showcase their advantages over traditional ML. Develop best-practice workflows using capabilities like in-context learning (ICL) and benchmark rigorously against existing approaches.
Customer Success: Work directly with users to understand their challenges and demonstrate TFM value through technical demos tied to real business objectives. Guide onboarding to deliver quick wins and translate user feedback into technical insights for our product team.
Community & Education: Design and deliver workshops, tutorials, and content that explains the tabular foundation model paradigm - how it differs from LLMs and traditional ML, and why it matters. Engage the data science community through Kaggle, GitHub, and public-facing work.
What We're Looking For:
  • PhD or Master's in a quantitative field, plus 3+ years of experience building and deploying ML/AI in industry, competitive ML, or open-source.
  • Deep proficiency in Python and the data science ecosystem, with hands-on experience training and deploying deep learning models in PyTorch, including modern deep learning - architectures (especially transformers)
  • Collaborative development on GitHub and strong software engineering practices
  • Ability to translate complex technical concepts into tangible value for both technical and non-technical audiences
  • Genuine curiosity about new model architectures and a drive to explore what they can do
Nice to Have:
  • Kaggle Grandmaster, Master, or Expert status
  • Experience in technical consulting, solutions engineering, MLOps, or developer advocacy
  • Contributions to open-source libraries or data science tooling
  • A portfolio of blog posts, talks, or projects that demonstrate strong technical communication
US Benefits:
  • SAP RSUs (Publicly traded, liquid once vested)
  • 20 days paid vacation
  • Health, dental and vision 100% employer-paid
  • Fitness and transportation allowances
  • 401k matching (2%, one-year cliff)
  • Opportunity to publish your work
  • Team offsites at least once a year
  • Visa and relocation support (if required)

Life at Prior Labs
You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.
Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.
Our Commitments
The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.
We care about how your data is handled - see our Recruiting Data Privacy page