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Glm Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

SAP EHS Consultant

Denver, CO · On-site

$64.75 - $88.50/hr

... GLM), Dangerous Goods Management, WWI, Substance Volume Tracking, quarterly EHS Regulatory Content (ERC). * Understanding of business processes in 3rd party EH&S/Manufacturing software systems ATR ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using ...

CDS

FORKLIFT OPERATOR / MATERIAL HANDLER

Statesville, NC · On-site

$11/hr

... GLM (Inventory Tracking System) to remove materials from warehouse. • Scan product and stage throughout warehouse. • Punch lead to give machine operators designated breaks as required. • ...

Staffingine LLC

SAP EHS Consultant

The Woodlands, TX · On-site

$59.50 - $77.75/hr

... GLM), Dangerous Goods Management, WWI, Substance Volume Tracking, quarterly EHS Regulatory Content (ERC). * 5+ years of experience working with any 3rd party EH&S/Manufacturing software systems (i.e.

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Artsy, Inc

Social Media Manager

New York, NY · On-site

You'll work closely with colleagues across Content, Brand, GLM, and Sales to support multi-channel campaigns that drive brand awareness and engagement - while staying deeply plugged into the rhythm ...

Great Lakes Mgmt Co

RN -The Glenn Hopkins

Hopkins, MN · On-site

$36 - $40/hr

The Glenn Hopkins, a Great Lakes Management (GLM) community, is a dynamic and vibrant community offering exciting career opportunities for individuals passionate about making a positive difference in ...

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R3 Tek

Data Scientist

Bentonville, AR · On-site

GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, etc. Experience using web ...

Great Lakes Mgmt Co

RN -The Glenn Hopkins

Hopkins, MN · On-site

The Glenn Hopkins, a Great Lakes Management (GLM) community, is a dynamic and vibrant community offering exciting career opportunities for individuals passionate about making a positive difference in ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117K - $140K/yr

GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. • Comfortable working with massive unstructured data sets. • Strong SQL skills, ability to perform ...

Montefiore

Senior AI Engineer (JR229574)

Yonkers, NY

$108K - $148K/yr

Build and Deploy a diverse set of ML models (GLM, GBM, Neural Networks) and NLP solutions at scale. * Knowledge in Python and relevant ML libraries, out-of-the box LLMs, Generative AI solutions and ...

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How much do glm jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for glm in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is GLM management?

GLM management typically refers to the oversight and administration of General Linear Models in data analysis, often involving statistical software like R or SPSS. In a job context, it may involve managing projects or teams that work with statistical modeling, requiring skills in data interpretation and software proficiency.

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

To thrive as a General Ledger Manager, you need a strong background in accounting principles, financial reporting, and typically a bachelor's degree in accounting or finance. Familiarity with ERP systems such as SAP or Oracle, and certifications like CPA or CMA, are highly valued. Attention to detail, leadership, and effective communication are essential soft skills for managing teams and collaborating with other departments. These skills ensure accurate financial records, compliance, and efficient month-end closing processes vital to organizational success.

What are the typical challenges faced by a GLM (General Ledger Manager) when ensuring accuracy and compliance in financial reporting?

A General Ledger Manager often encounters challenges such as reconciling large volumes of transactions across multiple accounts, adhering to ever-changing regulatory requirements, and coordinating with other departments to resolve discrepancies. Ensuring timely and accurate month-end and year-end closes can also be demanding, especially during audit periods. Effective communication and strong organizational skills are crucial, as GLM professionals frequently collaborate with finance teams, auditors, and management to maintain compliance and support business objectives.

What are GLMs (Generalized Linear Models)?

GLMs, or Generalized Linear Models, are a flexible class of statistical models used to describe the relationship between a set of predictor variables and a response variable. Unlike traditional linear regression, GLMs allow for non-normal distributions of the response variable and can model various types of data, such as binary, count, or continuous outcomes. Common examples include logistic regression for binary outcomes and Poisson regression for count data. GLMs consist of three components: a linear predictor, a link function, and a probability distribution from the exponential family. They are widely used in statistics, data analysis, and machine learning for analyzing complex datasets.

What is the crappiest job?

The perception of the crappiest job varies, but roles with low pay, high physical demands, or poor working conditions—such as certain manual labor or service industry positions—are often considered undesirable. These jobs may also involve repetitive tasks, limited advancement, or irregular hours, making them less favorable for many workers.

What is the difference between Glm vs Data Analyst?

AspectGlmData Analyst
Required CredentialsBachelor's degree in statistics, mathematics, or related field; familiarity with statistical softwareBachelor's degree in data science, statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare, finance, or tech companiesBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageUsed in industries requiring statistical modeling and researchUsed across industries for interpreting data and supporting decision-making

Glm (Generalized Linear Model) and Data Analyst roles often overlap in skills like statistical knowledge and data handling. However, Glm refers specifically to a statistical technique used within data analysis, while Data Analysts perform broader data interpretation tasks. Understanding the distinction helps in choosing the right career path or job focus.

What does the GLM stand for?

In a job context, GLM typically stands for General Linear Model, a statistical technique used in data analysis and research. It is often relevant for roles involving data science, statistics, or research analysis, requiring knowledge of statistical software and modeling skills.

What is the top 10 highest paid job?

High-paying jobs for roles like data scientists, anesthesiologists, surgeons, and corporate executives often top the list, with salaries exceeding $200,000 annually. These positions typically require advanced education, specialized skills, and experience in fields such as healthcare, technology, or finance.
More about Glm jobs
What states have the most Glm jobs? States with the most job openings for Glm jobs include:
What job categories do people searching Glm jobs look for? The top searched job categories for Glm jobs are:
Glm jobs near you
Infographic showing various Glm job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Senior Data Scientist - Insurance Analytics - NJ #2812

Right Talent Right Now

Jersey City, NJ

Full-time

Medical, Life

Posted 19 days ago

Job description

Job Description

Position Title Senior Data Scientist - Insurance Analytics - NJ #2812

Relocation Yes

Location Jersey City, NJ

Company is seeking a Senior Data Scientist for Insurance Analytics.

You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments, and hence will have the opportunity to get to know many carriers, vendors and data sources in the insurance industry.

Independently executes data analysis and modeling projects from project/sample design, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.

Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.

Provides technical sales support, which may include various analyses and the preparation and presentation of analytical results.

Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.

Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations.

Verbally presents analysis ideas, progress and results to internal managers, external partners and customers.

Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation.

Follows, and may create, detailed project plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer/partner support; answering questions, resolving problems and building solutions.

Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.

Shares knowledge within the analytics group.

Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research.

Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).


3+ years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance content (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus.


Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation.

Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus.


Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets.

Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.

Proficiency in Microsoft Office (Excel, Word, PowerPoint).

Bottom line requirements we need notes on with candidate submittal:

1. Graduate degree with concentration in a quantitative discipline.

2. 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a Property and Casualty insurance context (insurance company or insurance consulting firm).

3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation.

4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus.


Additional Information

All your information will be kept confidential according to EEO guidelines.

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