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G R Jobs in New York (NOW HIRING)

Atlantic Partners

CNA

Paramus, NJ · On-site

Performs assigned treatments (e.g., R.O.M., Dayroom Monitoring, Courtesy Cart). * Communicates effectively with Charge Nurse/Primary Nurse regarding patients needs and requests. * Orients patient to ...

Integrated Resources INC

Business Analyst

Newark, NJ

R, VBA, Matlab, C++. Working knowledge of northeast ISOs, e.g. PJM. Experience with Aligne or similar ETRM system. Qualifications Basic Qualifications: Bachelors in Economics, Finance, Mathematics ...

De Circle

Data Scientist - Gauntlet

New York, NY · On-site

SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * Ability to work independently working towards abstract goals * Experience working with pricing models ...

tignovate

Data Analyst

Manhattan, NY

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

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All JobsG R JobsG R Jobs in New York

G R information

See New York salary details

$16

$25

$39

How much do g r jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for g r in New York is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $27.88 per hour, depending on experience, location, and employer.

What are G R?

G R typically refers to 'Guest Relations' professionals, who are responsible for ensuring guests have a positive experience in hospitality settings such as hotels, resorts, and event venues. Their duties include greeting guests, handling complaints or special requests, providing information, and coordinating with other departments to meet guest needs. Guest Relations staff play a key role in maintaining customer satisfaction and building loyalty by addressing concerns promptly and professionally. The position often requires excellent communication skills, patience, and the ability to multitask in a fast-paced environment.

What are some common challenges faced by G R professionals in their day-to-day work?

G R professionals often encounter challenges such as managing multiple stakeholder expectations, keeping up with evolving industry regulations, and ensuring effective communication across departments. Balancing deadlines while maintaining high-quality results can be demanding, especially in fast-paced environments. Additionally, adapting to new technologies and continuous learning are essential for success in this role.

What are the key skills and qualifications needed to thrive as a General Recruiter, and why are they important?

To thrive as a General Recruiter, you need a solid understanding of talent acquisition processes, candidate evaluation, and often a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), HRIS platforms, and sourcing tools like LinkedIn Recruiter is typically required. Exceptional interpersonal, organizational, and negotiation skills help recruiters build strong relationships with both candidates and hiring managers. These abilities are crucial for efficiently matching top talent to organizational needs, ensuring a positive hiring experience, and supporting overall business growth.

What is the difference between G R vs Customer Service Representative?

AspectG RCustomer Service Representative
Required credentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; customer service training often preferred
Work environmentCall centers, retail, or service industriesCall centers, retail stores, or corporate offices
Employer and industry usageRetail, telecommunications, hospitalityRetail, telecommunications, banking, and service sectors
Common search and comparison intentUnderstanding job roles, requirements, and career pathsCustomer interaction, problem-solving, and communication skills

G R and Customer Service Representative roles often share similar work environments and industry usage. While G R may focus more on specific technical or operational tasks, both roles require strong communication skills and customer interaction. The main difference lies in the specific job functions and certifications needed, with G R roles often involving more technical knowledge depending on the industry.

What cities in New York are hiring for G R jobs? Cities in New York with the most G R job openings:
G R jobs near you
Infographic showing various G R job openings in New York as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $53,352 per year, or $25.6 per hour.

Data Scientist ::Onsite in NYC, NY (Onsite)

Talent Movers

New York, NY • On-site

Contractor

Posted 14 days ago

Job description

Title : Data Scientist

Location: Onsite in NYC, NY (Onsite)

Rate: ON C2C/W2

 

Top 3 must-have HARD skills:

Experience with hardware sensors and real-world data analysis
Direct experience working with biosensors or similar hardware, and analyzing the resulting data.
Signal processing expertise
Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data.
Advanced programming and data manipulation
3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.).

Good to have skills:

Experience presenting findings from statistical and machine learning methods to diverse audiences.
Proficiency in data structures and algorithms.
Experience with data visualization libraries (Matplotlib, Pyplot, seaborn, ggplot2).
Experience working with large datasets.
Familiarity with scientific computing and analysis packages (dplyr, caret).
Advanced degree (Master’s or PhD) in computer science, statistics, neuroscience, biomedical engineering, or related field.

Job Description:

Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.