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Glm Jobs (NOW HIRING)

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. • ...

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How much do glm jobs pay per hour?

As of Sep 1, 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 are 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 are the key skills and qualifications needed to thrive as a general ledger manager?

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 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 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.

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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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Staff Data Scientist (Insurance Risk and Pricing)

Porch.com, Inc.

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship.We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home.

As a leader in the home services software-as-a-service ("SaaS") space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.

Job Title:Staff Data Scientist, Insurance Pricing

Location:United States

Workplace Type:Remote

Job Summary

The future is bright for the Porch Group, andwe'dlove foryou to be a part of it as our Staff Data Scientist, Insurance Pricing.

As one of the most senior individual contributors on our data science team, you will set technical direction for how Porch approaches homeowners insurance pricing and risk modeling, owning our most complex and ambiguous modeling problems end-to-end - from business strategy through production deployment. While GLM-based pricing sits at the core of this role, your influence will extend across profitability and retention modeling, geospatial risk analysis, and the adoption of emerging techniques like generative AI.You'llpartner closely with actuarial, product, and engineering leaders to translate Porch's unique property data into a durable competitive advantage in underwriting and pricing. This is an ideal role for a seasoned practitioner who wants to shape strategy, mentor other data scientists, and drive measurable business value at scale.

What You Will DoAsAStaff Data Scientist, Insurance Pricing

  • Set the technical vision for insurance pricing and risk modeling,establishingbest practices and modeling standards across the team

  • Provide technical oversight and mentorship to other data scientists

  • Architect and deploy GLM-based models (frequency, severity, and loss cost) for homeowners insurance pricing

  • Build machine learning models (GBMs, neural networks, etc.) that drive underwriting accuracy, competitive positioning, and profitability

  • Develop ensemble models predicting insured-level profitability, customer retention, and conversion, including customer lifetime value (LTV) models to prioritize marketing and underwriting strategies

  • Lead use of non-traditional data sources - aerial imagery, satellite data, government records, building permits - to quantify localized risk and inform strategic decisions

  • Partner with product, actuarial, engineering, and business leaders to scope high-priority initiatives and integrate data science solutions into operational workflows

  • Work with the actuarial team to develop, file, implement, andmonitornew predictive models that meet regulatory requirements

  • Champion rigorous deployment practices in high-traffic environments, including A/B testing, performance monitoring, and continuous refinement

  • Drive a culture of experimentation, evaluating emerging techniques including generative AI and LLMs toidentifynew opportunities for competitive advantage

What You Will BringAsAStaff Data Scientist, Insurance Pricing

  • 10+ years of experience in data science, with significant depth in insurance pricing or risk modeling

  • Track recordof technical leadership - setting direction on complex projects,establishingstandards, and mentoring or providing technical oversight to other data scientists

  • Demonstratedexpertisearchitecting,validating, and deploying GLM-based pricing models in production, ideally for homeowners or other property/casualty lines, as well as machine learning models for non-pricing use cases

  • Proficiencyin Python and SQL, with experience implementing GLMs and gradient boosting models (scikit-learn,statsmodels,xgboost,lightgbm)

  • Experience with experimental design, including building, deploying, and A/B testing models in high-traffic environments, as well as causal analysis

  • Experience with cloud-based data platforms (e.g.,BigQuery, GCP) andMLOpspractices such as model training pipelines, versioning, and monitoring

  • Proficiencywith Confluence and Jira for documentation and project tracking in an Agile/Scrum environment

  • Master's or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field preferred

  • Nice tohave:background in actuarial science or insurance mathematics, including experience collaborating with actuarial teams on regulatory model filing

  • Nice tohave:experience with customer lifetime value, retention, or conversion modeling

  • Nice tohave:experience with geospatial or spatial data analysis (aerial imagery, satellite data, or property-level geographic datasets)

  • Nice tohave:exposure to generative AI and LLMs, including prompt engineering or fine-tuning for insurance or financial services use cases

  • Nice tohave:exposure to experimentation frameworks and causal inference methods

  • Nice tohave:experience with model governance, validation frameworks, and regulatory compliance in insurance

The application window for this position isanticipatedto close in 2 weeks (10 business days) from 8/27/2026. Pleaseknowthis may change based on business and interviewing needs.

At this time, Porch Group does not consider applicants from the following states orjurisdictionsfor Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia.

What You Will GetAsAPorch Group Team Member

Pay Range*:$168,800 - $236,300 annually

*Please know your actual pay at Porch will reflect a number offactors amongwhich areyour work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location.

Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals.

Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing.

  • Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose.

  • Critical Illness, HospitalIndemnityand Accident plans are offered on a voluntary basis.

  • We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options.

  • We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans.

  • Both traditional and Roth 401(k) plans are available with a discretionary employermatch.

  • Supportlincis part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinicalcareand online access to confidential resources including will preparation.

  • LifeBalanceis a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more.

  • Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travelassistance, and fitness and otherdiscountsprograms.

#LI-NH1

#LI-Remote

What's next?

Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!

Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.

Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, orany other characteristic protected by applicable laws, regulations, and ordinances.

Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to theUSCIS E-Verify website.

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