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Contract Machine Learning Data Scientist Jobs in New Rochelle, NY

BMW Group

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 ...

NYULMC

Data Scientist & Engineer

New York, NY · On-site

Design and build data solutions using state-of-the-art machine learning and informatics methods ... Contribute to data science best practices and mentor team members to elevate the technical ...

Talentrupt

Data Scientist

Newark, NJ · On-site

Newark, NJ/Hybrid (3 days onsite) Duration: 12+ months Contract on W2 Are you interested in ... Expertise in the application of machine learning theory to building, training, testing ...

Forhyre

Data Scientist

New York, NY · On-site

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 ...

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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

See New Rochelle, NY salary details

$38.6K

$126.3K

$202.2K

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

As of Jul 27, 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.

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 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.

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 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 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
Machine Learning Data Scientist - Research Translation & Prototyping

Machine Learning Data Scientist - Research Translation & Prototyping

1 point system

New York, NY • On-site

Contractor

Posted yesterday

Job description

Qualifications:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required

• 5-7 years’ experience required

• Strong technical foundations in software engineering, machine learning, statistics, and experimental design.

• Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-powered products.

• Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications.

• Experience in programming and experience with problem diagnosis and resolution

• Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery.

• Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.