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Data Scientist Machine Learning Jobs in New York

Talentrupt

Data Scientist

Newark, NJ · On-site

Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site +1

$180K - $200K/yr

The ideal candidate can move seamlessly between developing machine learning models and engaging ... AI & Data Science Innovation * Develop and improve predictive models leveraging structured and ...

Atrosphere Technologies

Data Scientist

Manhattan, NY · On-site

$80 - $120/hr

Join our data science team to help transform data into actionable insights. You will work on ... Develop and implement machine learning models * Create data visualizations and reports

Cadent

Lead Data Scientist

New York, NY · On-site

M.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 6-7 years' experience in a Data Science ...

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

... Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and deploying scalable AI/ML solutions to ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in New York

Data Scientist Machine Learning information

See New York salary details

$41K

$134.3K

$215K

How much do data scientist machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist machine learning in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in New York? The most popular types of Data Scientist Machine Learning jobs in New York are:
What are popular job titles related to Data Scientist Machine Learning jobs in New York? For Data Scientist Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in New York look for? The top searched job categories for Data Scientist Machine Learning jobs in New York are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Data Scientist

North Star Staffing Solutions

New York, NY • On-site

Full-time

Re-posted 28 days ago

Job description

Company Description

.JOB DESCRIPTION Position: Sr Data Scientist Term: Direct Placement Start Date: ASAP Location: New York or San Francisco, CA (San Ramon area specifically) Misc: Relo package negotiable, H1B transfers welcome

Job Description

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses. Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets. You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market

Qualifications

Requirements Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required, PhD required). 6+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods. Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights. Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python, R, Matlab, Spotfire, Tableau. Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, MapReduce, PIG, HIVE, Python (NumPy, SciPy, scikit-learn), SAS, R, and machine learning suites such as Mahout, Weka, and RapidMiner. Experience with cloud computing and Hadoop. Experience with third-party API integration. Strong communication skills to utilize while interacting with the product management team in order to create meaning

Additional Information

If you meet the requirements of this unique opportunity, we encourage you to explore how you can make a difference by applying now. 

Contact: Eric McCart   either by email or LinkedIn link below even direct 8623339700

https://www.linkedin.com/pub/eric-mccart/b9/892/564


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