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Remote Data Scientist Machine Learning Jobs in Brooklyn, NY

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 ...

Fusemachines

Lead Data Scientist

New York, NY · On-site +1

$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 ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Strong knowledge of programming languages with a focus on machine learning and advanced analytics ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... applied machine learning . * Ability to commit to 40 hours per week during weekdays for the ...

VideoAmp Careers Website

Senior Data Scientist

New York, NY · On-site +1

$169.54K - $208K/yr

Develop and implement machine learning algorithms to analyze large-scale datasets, uncovering ... Data Science, or related field (or its equivalent) plus 5 years of experience. - Requires 5 years ...

BNSF

Lead AI & Analytics Scientist (Remote)

Manhattan, NY · Remote

$165K - $300K/yr

BNSF is seeking an experienced data scientist to lead innovative data and AI initiatives. The role ... development of machine-learning models and insightful data-driven analytics. This full-time ...

PortPro

Data Scientist

New York, NY · On-site +1

PortPro is seeking an experienced Data Scientist to join our team ... The ideal candidate will have a robust analytical skill set, experience with machine learning ...

PortPro

Data Scientist

New York, NY · Remote

PortPro is seeking an experienced Data Scientist to join our team ... The ideal candidate will have a robust analytical skill set, experience with machine learning ...

Hang

Data Scientist

New York, NY · On-site +1

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ... Develop and implement statistical models and machine learning algorithms to predict customer ...

OpenX

Staff Data Scientist

New York, NY · Remote

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations ... Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S ...

Humana

Lead Data Scientist

New York, NY · On-site +1

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Scientist Machine Learning information

See Brooklyn, NY salary details

$39.4K

$129.1K

$206.6K

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

As of May 28, 2026, the average yearly pay for remote data scientist machine learning in Brooklyn, NY is $129,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Brooklyn, NY? The most popular types of Data Scientist Machine Learning jobs in Brooklyn, NY are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Brooklyn, NY? For Remote Data Scientist Machine Learning jobs in Brooklyn, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Brooklyn, NY look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Remote Data Scientist Machine Learning jobs? Cities near Brooklyn, NY with the most Remote Data Scientist Machine Learning job openings:
Remote Data Scientist Machine Learning jobs near you
Infographic showing various Remote Data Scientist Machine Learning job openings in Brooklyn, NY as of May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,060 per year, or $62 per hour.

Machine Learning Engineer | Remote

Crossing Hurdles

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities Design, develop, and deploy machine learning models to address complex business challenges. Collaborate with cross‐functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions. Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.

Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications. Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models. Document processes, methodologies, and model decisions to ensure transparency and reproducibility.

Requirements Have expert‐level proficiency in machine learning techniques and algorithms. Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn. Have hands‐on experience designing and managing ETL workflows in production environments.

Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics. Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings. #J-18808-Ljbffr

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