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Data Scientist Machine Learning Jobs in New York

Data Scientist

Brooklyn, NY · On-site

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

Lead Data Scientist Posting Start Date: 7/20/26 Job Location (Long): Woodcliff Lake, New Jersey ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

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 ...

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 ...

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 ...

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 ...

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Data Scientist

New York, NY · On-site

$30 - $35/hr

Software Engineer / Data Scientist Full Time Atlanta, GA - Must be open to relocating anywhere in ... Exposure to machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience ...

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 ...

Senior Data Scientist

Newark, NJ · On-site

$97.30 - $178.80/hr

Partner with machine learning engineers to productionized machine learning models. Partner with ... Data Science, or comparable quantitative disciplines * Working on complex problems in which ...

New

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 ...

Showing results 21-40

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:
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

Amplify

Brooklyn, NY • On-site

$100K - $132K/yr

Other

Re-posted 28 days ago


Job description

OverviewApplication

About Amplify

Amplify helps teachers bring delight and rigor to students every day. We have become a leader in K-12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational product portfolio. This role will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens-of-thousands of ISBNs and hundreds of millions in revenue every year. To accomplish this, the Data Scientist will work with a cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products.

This Data Science role will report to our Data Science manager who leads Data Science for Amplify's Sales, Marketing and Finance departments. As such, they will be empowered to innovate and participate in important decisions across the entire data stack.

Essential Responsibilities:

  • Train, test, and deploy Machine Learning models: Drive the development of new Machine Learning capabilities by contributing at every stage of the Machine Learning delivery pipeline including research, evaluation, deployment and monitoring.

  • Seek the why behind every observation: Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that our Supply Chain team can make to improve operations.

  • Work cross functionally to deliver superior data products: Contribute to development efforts from data ingestion, to data transformation, through to data analysis and machine learning in order to deliver high quality, impactful data products.

  • Give back to the broader Data Science team: Help our Data Science team continuously improve by leading team learning sessions and proposing novel tooling or architectures.

Required Qualifications:

  • 2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems.

  • Proficiency with statistical methods and especially time series forecasting methodologies (eg. SARIMA, prophet, xGBoost)

  • Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis).

  • Expert user of SQL, especially its use in data analysis tasks.

  • Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.

  • Experience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML.

  • Demonstrated application of software development methodology and protocols, including using git for version control and testing.

  • Excellent communication skills in writing and conversation, especially with non-technical partners.

  • Experience driving self-directed projects and working cross-functionally.

Preferred Qualifications:

  • Experience working with Snowflake.

  • Experience with container technologies, e.g. Docker and Kubernetes.

  • Background in education or in edtech.

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.

Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.

If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.

Amplify is an E-Verify participant.

Compensation Range: $100K - $132K

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