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Algorithm Scientist Jobs in Princeton, NJ (NOW HIRING)

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc * Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary * Data ...

IBM

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

... Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and ... Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics ...

Datadog

Senior Applied Scientist

New York, NY · On-site

$220K - $275K/yr

As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product ...

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc * Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary * Data ...

Interchecks

Data Scientist

New York, NY · Remote

Apply and develop scientific methodology, statistics, and algorithms to identify trends, patterns, and opportunities * Conduct data exploration to discover and develop predictive features for ...

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All JobsAlgorithm Scientist JobsAlgorithm Scientist Jobs in Princeton, NJ

Algorithm Scientist information

See Princeton, NJ salary details

$52.9K

$116.7K

$144.1K

How much do algorithm scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for algorithm scientist in Princeton, NJ is $116,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $143,600.00 per year, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

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

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What are popular job titles related to Algorithm Scientist jobs in Princeton, NJ?

For Algorithm Scientist jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Algorithm Scientist jobs in Princeton, NJ look for?

The top searched job categories for Algorithm Scientist jobs in Princeton, NJ are:

Algorithm Scientist jobs near you
Infographic showing various Algorithm Scientist job openings in Princeton, NJ as of September 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $116,717 per year, or $56.1 per hour.

Data Scientist (biosensor) in NYC, NY 100% ONSITE

New York, NY • On-site

Talent Movers
See more jobs at Talent Moversexternal

Contractor

Re-posted 14 days ago

Job description

We are Hiring for Data Scientist (biosensor) in NYC, NY 100% Onsite
Title : Data Scientist
Location: Onsite in NYC, NY
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.