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Contract Machine Learning Data Scientist Jobs in New Rochelle, NY

Atrium

Contract Machine Learning Engineer

Manhattan, NY · On-site

$75 - $110/hr

This Contract Machine Learning Engineer will work closely with Data Science, DevOps, Cloud Engineering, and Software Development teams to streamline ML workflows, improve deployment reliability, and ...

Aspect Software

Operations Data Scientist

Manhattan, NY · On-site +1

$115K - $120K/yr

Operations Data Scientist Location: US, Remote About Aspect Software: Aspect Software develops ... Run machine learning and AI models to generate operational insights. Translate complex data into ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$27 - $32/hr

Expert Professionals -- AI & Data Science -- IN Type: Contract Compensation: $27-$32/hour Location ... machine learning domains. Surface nuances that distinguish expert-level work from surface-level ...

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All JobsContract Machine Learning Data Scientist JobsContract Machine Learning Data Scientist Jobs in New Rochelle, NY

Contract Machine Learning Data Scientist information

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$38.6K

$126.3K

$202.2K

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

As of May 28, 2026, the average yearly pay for contract machine learning data scientist in New Rochelle, NY is $126,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,000.00 per year, depending on experience, location, and employer.

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

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

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in New Rochelle, NY? For Contract Machine Learning Data Scientist jobs in New Rochelle, NY, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in New Rochelle, NY look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in New Rochelle, NY are:
What cities near New Rochelle, NY are hiring for Contract Machine Learning Data Scientist jobs? Cities near New Rochelle, NY with the most Contract Machine Learning Data Scientist job openings:
Contract Machine Learning Data Scientist jobs near you
Contract Machine Learning Engineer

Contract Machine Learning Engineer

Atrium

Manhattan, NY • On-site

$75 - $110/hr

Other

Medical, PTO

Posted 4 days ago

Atrium Health rating

7.5

Company rating: 7.5 out of 10

Based on 603 frontline employees who took The Breakroom Quiz

181st of 864 rated healthcare providers

Job description

Client Overview:
We are partnering with an innovative technology organization focused on delivering scalable AI and machine learning solutions across enterprise platforms. The team is building modern cloud-native infrastructure and advanced ML systems to support high-impact business initiatives, and they are looking to add a Contract Machine Learning Engineer. This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment.
Salary/Hourly Rate:
$75/hr - $110/hr (Depending on experience, technical skill set, and project scope)
Position Overview:
Our client is seeking an experienced Contract Machine Learning Engineer to support the deployment, automation, and operationalization of machine learning platforms and production AI systems. This Contract Machine Learning Engineer will work closely with Data Science, DevOps, Cloud Engineering, and Software Development teams to streamline ML workflows, improve deployment reliability, and optimize scalable cloud infrastructure. The ideal candidate has hands-on experience supporting production ML environments and building automated MLOps pipelines.
Responsibilities of the Contract Machine Learning Engineer:
  • Design, implement, and support scalable MLOps infrastructure and deployment frameworks.
  • Build and maintain CI/CD pipelines for machine learning model training, testing, and deployment.
  • Collaborate with Data Scientists and Engineering teams to productionize ML models and AI services.
  • Automate model monitoring, validation, retraining, and performance tracking processes.
  • Support containerized deployments using Kubernetes and Docker technologies.
  • Manage and optimize cloud-based ML environments across AWS, Azure, or GCP.
  • Implement model versioning, experiment tracking, and reproducibility standards.
  • Monitor production systems for model drift, latency, reliability, and operational issues.
  • Troubleshoot infrastructure and deployment-related challenges across distributed environments.
  • Document MLOps workflows, platform architecture, and operational best practices.
Required Experience/Skills for the Contract Machine Learning Engineer:
  • 4+ years of experience in MLOps, Machine Learning Engineering, DevOps, or Platform Engineering.
  • Strong experience deploying machine learning models into production environments.
  • Advanced Python programming skills and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with CI/CD tools, including GitHub Actions, Jenkins, GitLab CI, or similar platforms.
  • Hands-on expertise with Docker, Kubernetes, and container orchestration.
  • Strong cloud platform experience with AWS, Azure, or Google Cloud Platform.
  • Experience with ML orchestration and lifecycle management tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Airflow.
  • Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Strong understanding of APIs, distributed systems, and production monitoring tools.
  • Excellent troubleshooting, communication, and collaboration skills.
Preferred Experience/Skills for the Contract Machine Learning Engineer:
  • Experience supporting Generative AI, LLMOps, or AI platform engineering initiatives.
  • Familiarity with vector databases, RAG architectures, and AI orchestration frameworks.
  • Experience working within enterprise or highly regulated environments.
  • Knowledge of Spark, Kafka, Snowflake, or large-scale data processing platforms.
  • Exposure to GPU infrastructure and model optimization workflows.
  • Cloud certifications or Kubernetes certifications preferred.
Education Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical discipline is preferred.
Benefits:
  • Competitive hourly compensation.
  • Opportunity for contract extension and long-term engagement.
  • Exposure to enterprise-scale AI/ML initiatives.
  • Access to modern cloud and AI technologies.
  • Collaborative Engineering and Data Science teams.
  • Weekly pay and dedicated recruiter support.
  • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).
About Atrium: What you do matters. Guided by our Applicant-Centric™ approach, we foster an environment of collaboration, high performance, and innovation where your talents are valued, and your achievements are celebrated. Join us and become part of an inclusive team committed to your growth and success.
By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy .
As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO
Position ID: 396660

What Atrium Health employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Atrium Health

Sourced by ZipRecruiter

Atrium Health is one of the nation's leading healthcare organizations, connecting patients with on-demand care, world-class specialists and the region's largest primary care network. A recognized leader in healthcare delivery, quality and innovation, our foundation rests on providing clinically excellent and compassionate care. We've been serving our community since 1940, when we opened our doors as Charlotte Memorial Hospital. Since then, our network has grown to include more than 40 hospitals and 900 care locations ranging from doctors' offices to behavioral health centers to nursing homes. Our focus: Delivering the highest quality patient care, supporting medical research and education, and joining with partners outside our walls to keep our community healthy.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1940

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