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Linear Models Jobs (NOW HIRING)

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 ...

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 ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

... 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 ...

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 ...

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 ...

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 ...

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 Jun 21, 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 jobs pay 2000 a day?

In the field of linear models and data analysis, highly specialized consultants or data scientists with advanced skills and experience can earn around $2,000 per day, especially when working on complex projects or consulting for large organizations. Such roles often require expertise in statistical modeling, programming, and tools like R or Python, and may involve freelance or contract work with flexible schedules.

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 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 jobs make $10,000 a month without a degree?

In the field of linear models and data analysis, roles such as data scientist, machine learning engineer, or quantitative analyst can earn $10,000 or more monthly with relevant skills and experience, often without a formal degree if demonstrated expertise and a strong portfolio are present. These jobs typically require proficiency in programming, statistical software, and understanding of modeling techniques, and they may be found in tech companies, finance, or consulting firms.

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.

What are the 4 types of linear models?

Linear models in data analysis include simple linear regression, multiple linear regression, polynomial regression, and generalized linear models. These models are used to predict outcomes based on input variables and are fundamental in statistical analysis and machine learning. Understanding their differences helps in selecting the appropriate model for specific data and research questions.

What job makes $1,000,000 a year?

In the field of linear models and data science, high-level roles such as chief data scientist or senior quantitative researcher in finance can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require advanced statistical skills, programming expertise, and extensive experience in analytics or finance environments.

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.
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 June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Sr. Analyst - Market Research

American Lebanese Syrian Associated Charities

Memphis, TN • On-site

$112K - $113K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

At ALSAC you do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.®
Job Description
ALSAC/St. Jude Children's Research Hospital - the fund-raising organization of St. Jude Children's Research Hospital - is currently looking for a Sr Analyst - Market Research as follows.
The Brand Center of Excellence (BCOE) strategically guides and empowers enterprise stakeholders to build brand equities that inspire, engage, retain, and grow global audiences. As a key member of the BCOE, the Senior Analyst of Market Research plays a crucial role in shaping our understanding of market dynamics and consumer behavior. This position involves research design, data collection, analysis, and reporting for a portfolio of primary research studies. The successful candidate will combine expertise in market research methodologies with advanced data mining and statistical analysis techniques. Duties include:
Research Design and Execution:
  • Collaborate with the Market Research team to design and execute primary research studies.
  • Conduct secondary research to inform study design and identify relevant trends.
  • Collect and analyze data using both quantitative and qualitative methods.

Insights and Recommendations:
  • Translate research findings into actionable insights.
  • Develop data-driven recommendations that guide high-visibility efforts, including audience-led strategies, brand initiatives, program development, and marketing communications.
  • Craft compelling narratives to communicate insights effectively.

Collaboration and Communication:
  • Work closely with seasoned market researchers to align research efforts with organizational goals.
  • Present findings to internal clients and stakeholders clearly and understandably.
  • Foster a collaborative and future-fit team environment.

Technical Competencies:
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint).
  • Strong skills in SPSS or a similar statistical software package.
  • Familiarity with advanced statistical methods (e.g., general linear models, analysis of variance, factor analysis, etc.).
  • Understanding data mining concepts and AI applications.

Position eligible to telecommute from anywhere in U.S.
Position requires a Master's degree in Marketing Research, Marketing Analytics, Business Analytics, Applied Statistics, Data Science, or a related quantitative field and three (3) years of experience in marketing research, advanced analytics, and business intelligence -- OR -- a Bachelor's degree in Marketing Research, Marketing Analytics, Business Analytics, Applied Statistics, Data Science, or a related quantitative field followed by five (5) years of experience in marketing research, advanced analytics, and business intelligence. Experience must include three (3) years of experience each of the following:
  • Data & analytics platforms / tools including SPSS, SAS software, Python programming, SQL, Tableau & Power BI.
  • Data management & engineering foundations including relational databases, data warehouses, data processing applications & data mining.
  • Business intelligence & data visualization including data visualization, dashboard creation, scorecard development & data storytelling.
  • Core analytics & quantitative methods including data analytics, general linear models, analysis of variance, contingency tables, factor analysis, cluster analysis, conjoint analysis & multivariate analysis.
  • Research design & methodology including quantitative research design, survey design, sampling methodology, and data weighting techniques.

Should you meet the qualifications for this position, please apply online at https://www.stjude.org/jobs/alsac.html (Job ID R0010818).
Benefits & Perks
The following Benefits & Perks apply toFull-Time Roles Only
We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.
ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.
No Search Firms:
ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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