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Linear Models Jobs (NOW HIRING)

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one ...

Jane Street

Quantitative Researcher

New York, NY · On-site

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Jane Street

Quantitative Researcher

New York, NY · On-site

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep ...

Gormat

Data Scientist 3

Annapolis Junction, MD

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT · On-site

... linear models in support of our pricing modeling efforts for business lines such as homeowners, property, and casualty Performs data validation and exploratory data analyses Communicates analytical ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Jane Street

Quantitative Researcher

New York, NY · On-site

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

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Linear Models information

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$52.5K

$119.2K

$196.5K

How much do linear models jobs pay per year?

As of May 29, 2026, the average yearly pay for linear models in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Linear Models Analyst, and why are they important?

To thrive as a Linear Models Analyst, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with statistical software such as R, Python (with libraries like statsmodels or scikit-learn), and experience with data visualization tools are essential. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting results and conveying insights to stakeholders. These skills and qualifications are crucial for accurately modeling real-world phenomena, driving data-driven decisions, and ensuring clear understanding across teams.

What are some common challenges faced by professionals working with linear models in data analysis roles?

Professionals working with linear models often encounter challenges such as ensuring that the data meets key assumptions like linearity, independence, and homoscedasticity. Handling multicollinearity among predictors can also complicate model interpretation and accuracy. Additionally, it is crucial to balance model simplicity with predictive power, especially when dealing with large datasets or real-world, messy data. Collaborating with domain experts and data engineers is often necessary to properly preprocess data and validate model outputs.

What are linear models?

Linear models are statistical or mathematical models that assume a linear relationship between input variables (predictors) and a single output variable (response). In these models, the effect of each predictor is additive and proportional, making them easier to interpret and analyze. Linear models are commonly used in regression analysis and can be extended to more advanced techniques like multiple linear regression and generalized linear models. They are foundational in fields like data science, economics, and engineering for making predictions and understanding relationships between variables.

What is the difference between Linear Models vs Data Analysts?

AspectLinear ModelsData Analysts
Required credentialsStatistics, mathematics, or data science degrees; proficiency in statistical softwareStatistics, data analysis, or related degrees; skills in data visualization and reporting
Work environmentAnalytical, research-focused; often in tech, finance, or healthcare industriesBusiness or corporate settings; focus on interpreting data for decision-making
Employer usageDeveloping predictive models, understanding relationships between variablesInterpreting data, creating reports, supporting business strategies

Linear Models are statistical tools used to predict or understand relationships between variables, often requiring advanced mathematical skills. Data Analysts utilize these models among other techniques to interpret data and inform business decisions. While their roles overlap, Linear Models focus on model development, whereas Data Analysts focus on data interpretation and reporting.

More about Linear Models jobs
What job categories do people searching Linear Models jobs look for? The top searched job categories for Linear Models jobs are:
Linear Models jobs near you
Infographic showing various Linear Models job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Data Scientist 2

GRVTY

Annapolis Junction, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
GRVTY is actively searching for Data Scientists located in Maryland to support their team. This role combines artificial intelligence and machine learning skills with a strong foundation in programming and cybersecurity, focusing on data processing, modeling, and communication of technical information.
Responsibilities:
• Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.
Qualifications:
Required:
• Bachelor’s Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
• Active TS/SCI with a polygraph
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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