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Temporary Machine Learning R Jobs in New York, NY

NOUS RESEARCH

Machine Learning Engineer, Evals

New York, NY · On-site

$153K/yr

Build a judge calibration protocol: sample human-labeled decisions, measure agreement (κ, per-class P/R), identify drift zones, and document it so anyone can re-run it * Extend an existing benchmark ...

Jobtailor

Associate Director, Data Science

Manhattan, NY · On-site

$130 - $180/hr

Hands‑on programming skills in SQL, Python, R, or similar languages * Intermediate exposure to machine learning techniques and causal models * Advanced presentation and communication skills

New

NYULMC

Data Science Analyst/Engineer

New York, NY · On-site

  • Medical

  • Retirement

Proficiency in at least one programming language (Python or R) and experience using machine learning libraries and tools (e.g., scikit-learn or equivalent R packages) Knowledge of predictive modeling ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms ... on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

... R • Knowledge of building and applying machine learning or predictive modeling • Strong problem solving skills • Exceptional ability to communicate and present findings clearly to both ...

Aquent

Sr. Data / M/L Engineer

Manhattan, NY · On-site

$76.50 - $85/hr

  • Medical

  • Retirement

Placement Type: Temporary Salary: $76.50-85 Hourly Start Date: Jul 13, 2026 Join a leading ... Apply statistical and machine learning techniques to large datasets for predictive and prescriptive ...

Global Soft Systems

AI/ML Engineer

Manhattan, NY · On-site

Proficiency in programming languages such as Python or R.. * Strong understanding of machine learning techniques and algorithms. Preferred Qualifications: * Experience with modern ML frameworks such ...

Global Soft Systems

AI/ML Engineer

New York, NY · On-site

Proficiency in programming languages such as Python or R.. * Strong understanding of machine learning techniques and algorithms. Preferred Qualifications: * Experience with modern ML frameworks such ...

New

SysMind Tech

AI/ML - Data Engineer Role

Manhattan, NY · On-site

$90 - $100/hr

Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred Qualifications: Experience with modern ML frameworks such as ...

New

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

... machine learning techniques (e.g., logistic regression, decision trees, neural networks, random forests, etc.) * 2+ years of strong hands-on experience in Python or R * Experience working with both ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in New York, NY

Temporary Machine Learning R information

See New York, NY salary details

$27.9K

$46.6K

$96.3K

How much do temporary machine learning r jobs pay per year?

As of Aug 18, 2026, the average yearly pay for temporary machine learning r in New York, NY is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are the most commonly searched types of Machine Learning R jobs in New York, NY?

The most popular types of Machine Learning R jobs in New York, NY are:

What are popular job titles related to Temporary Machine Learning R jobs in New York, NY?

For Temporary Machine Learning R jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in New York, NY look for?

The top searched job categories for Temporary Machine Learning R jobs in New York, NY are:

Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

AI/Machine Learning Labor Workforce Planning/HR Specialist

Network Temp Inc

New York, NY • On-site

$75 - $90/hr

Full-time

Re-posted 10 hours ago

Job description

Description:

Job Title: AI/Machine Learning Labor Workforce Planning/HR Specialist


Job Description:

We are seeking a highly skilled AI/Machine Learning Labor Workforce Planning Specialist to join our team. This role will focus on aligning workforce planning and capacity modeling with future organizational needs in the field of artificial intelligence and machine learning. The ideal candidate will have a strong background in AI and data science, along with experience in developing job descriptions and career pathways.


Key Responsibilities:

- Conduct workforce planning and capacity modeling for AI/ML roles to align with future organizational needs.

- Design standardized job families and role levels specifically for AI and data science positions.

- Define core and technical competencies for each AI-related job classification.

- Develop comprehensive job descriptions and career pathways that promote internal growth and development.

- Benchmark comparable roles across public sector healthcare and government/tech sectors to inform compensation and titling strategies.

- Develop and deliver recommendations for a sustainable talent architecture that aligns with the NYC H+H strategy.

- Recommend a scalable framework for talent management in AI and data science.

- Collaborate with technical leadership, including the Senior Director of AI & Engineering, to ensure alignment with organizational goals.


Skills and Qualifications:

- Strong understanding of artificial intelligence and machine learning concepts.

- Experience in workforce planning and capacity modeling.

- Proven ability to design job families and role levels in technical fields.

- Excellent analytical and benchmarking skills.

- Strong communication and collaboration skills.

- Ability to develop clear and concise job descriptions and career pathways.

- Familiarity with public sector healthcare and government/tech sector roles is a plus.

- Experience working with technical leadership and cross-functional teams.


We encourage candidates from diverse backgrounds to apply and join our mission to enhance our workforce in the AI and data science domains.

Requirements:

? Demonstrated expertise in workforce planning, job architecture, and competency framework design, preferably within large, matrixed, public sector organizations.

? Strong working knowledge of AI/ML roles, skills, and team structures, with the ability to translate technical functions into HR-friendly frameworks.

? Proven experience conducting compensation benchmarking.

? Exceptional ability to synthesize stakeholder input, industry research, and organizational context into clear, scalable deliverables (e.g., job families, career ladders, competency models).

? Strong project management skills with a track record of executing complex projects on aggressive timelines.

? Familiarity with public sector constraints and civil service considerations

Excellent verbal and written communication skills, including experience presenting frameworks and recommendations.

QUALIFICATIONS FOR THE JOB

EDUCATIONAL LEVEL: Master’s degree preferred in HR, Organizational Development, Data Science, or related field.

KNOWLEDGEABLE IN:

-Job architecture and career pathing

-AI/ML functions and team structures

-Healthcare and public-sector workforce frameworks

-Compensation benchmarking


EQUIPMENT/MACHINES OPERATED:

Standard office equipment (computer, telephone, scanner, copier)

COMPUTER PROGRAMS/SOFTWARE OPERATED

- Microsoft Office Suite

- Google Office

- Job Descriptions Management Tool

YEARS OF EXPERIENCE:

4+ years in workforce strategy, HR consulting, or organizational design; 2+ years supporting AI, data science, or technical teams preferred.