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Data Scientist Machine Learning Jobs in New York

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in ...

Forhyre

Data Scientist

New York, NY

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... We also want to see a passion for machine-learning and research. Your goal will be to help our ...

Acxiom

Data Scientist Adobe

Manhattan, NY · On-site

$150 - $190/hr

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e ...

MasterCard

Senior Data Scientist

New York, NY

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and ...

OpenX

Data Scientist III

New York, NY · Remote

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data ... The ideal candidate brings a solid applied machine learning foundation, growing judgment in ...

OpenX

Data Scientist III

New York, NY · On-site

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data ... The ideal candidate brings a solid applied machine learning foundation, growing judgment in ...

OpenX

Data Scientist III

New York, NY · On-site

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data ... The ideal candidate brings a solid applied machine learning foundation, growing judgment in ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site

$190K - $220K/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 ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site

$190K - $220K/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 ...

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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 Sep 4, 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 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 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 is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Machine Learning

SysMind Tech

Manhattan, NY • On-site

$85/hr

Full-time

Re-posted 19 days ago

Job description

Title - Machine Learning ( F2F interview is required)
Location - New York, NY ( Hybrid 2-3 days onsite)
Rate - $85/hr
Job Description:
Analyze large and complex datasets to derive actionable insights and inform business strategies.
Develop and implement advanced machine learning models and algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Communicate findings and recommendations to stakeholders and executive leadership.
Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 2 years of experience in a data science role.
Proficiency in programming languages such as Python or R..
Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
Experience with modern ML frameworks such as PyTorch, TensorFlow
Experience with big data technologies such as PySpark
Experience with ML model training within cloud infra such as Azure, AWS, GCP
Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.

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