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Remote Data Scientist Machine Learning Jobs in Brooklyn, NY

Bespoke Labs

Data Scientist

Manhattan, NY · Remote

Remote Role Type: Contract (2-4 Months) Time Commitment: 40 hrs/week (Full-time availability ... You will leverage your deep expertise in production-grade machine learning and applied statistics ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

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

$142.30K - $195.70K/yr

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

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

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · Remote

$165.80K - $228K/yr

... data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas ... Strong perspective on data science engineering development cycle (data modeling, version control ...

Judi Health

Machine Learning Engineer

New York, NY · Remote

Develop tools for large-scale data processing and ETL and contribute to extracting insights from ... Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative ...

Mercor

Senior 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 ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g ... We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to ...

LexisNexis

Director, Data Sciences

New York, NY · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

Adelaide Metrics

Data Scientist

Manhattan, NY · On-site +1

We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible ... machine learning system to aid advertisers in buying efficient media Support client management ...

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All JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Brooklyn, NY

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.
Senior Data Scientist (Bodily Injury Claims)

Senior Data Scientist (Bodily Injury Claims)

CLARA analytics

Manhattan, NY • Remote

Full-time

Medical, Retirement, PTO

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

Job description

Senior Data Scientist (Bodily Injury Claims) About CLARA Analytics CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self‐insured organizations. The company's product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI‐based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA's customers include companies from the top 25 global insurance carriers to large third‐party administrators and self‐insured organizations.

Founded in 2017, CLARA Analytics is headquartered in California's Silicon Valley. For more information, visit www.claraanalytics.com . About the role We're seeking a Senior Data Scientist to architect and lead the development of our core Claim Clustering Platform—the intelligence layer that powers how we compare and analyze Bodily Injury (BI) claims across Workers' Compensation, General Liability, and Auto Liability.

This is a highly technical, hands‐on role where you will design systems that move beyond experimentation into robust, production‐grade solutions. You'll collaborate closely with Machine Learning Engineers and MLOps specialists to ensure scalability, reliability, and continuous improvement. You'll also serve as a critical bridge to Data and Application Engineering teams, ensuring seamless integration with downstream systems such as benchmarking and fraud detection.

What You'll Do Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes. Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management. Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems.

Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents). Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards. What We're Looking For 4‐7 years in Data Science with a strong track record of deploying models into production environments.

Deep experience with Bodily Injury claims, including at least 4 years of hands‐on work in Workers' Compensation or General Liability. Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial. Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning.

Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM‐based approaches) for analyzing complex, unstructured data. Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams. What We Offer The opportunity to make a real impact on a growing company.

Collaborative and supportive work environment. Competitive compensation package. Salary + Bonus Benefits: generously subsidized health insurance, employer‐paid ancillary benefits, flex/unlimited PTO, fully remote, 401k with company match Be a part of a team that is passionate about what we do!

The pay range for this role is: 180,000 - 200,000 USD per year (Remote (United States)) #J-18808-Ljbffr

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