Pricing Actuary
Omaha, NE · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Omaha, NE · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
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
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
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Quantitative Researcher (VP)
Manhattan, NY · On-site
$165K - $325K/yr
... and linear models, probability theory, pattern recognition, regression methods, time series methods, neural networks, Bayesian statistics, and their applications in real-world data analysis ...
New
Quantitative Researcher (VP)
Manhattan, NY · On-site
$165K - $325K/yr
... and linear models, probability theory, pattern recognition, regression methods, time series methods, neural networks, Bayesian statistics, and their applications in real-world data analysis ...
New
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal ...
Senior Data Scientist
Jersey City, NJ · On-site
As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers ...
Senior Data Scientist
Jersey City, NJ · On-site
As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers ...
... linear models), data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering. • Python using Jupyter and Pandas proficiency is required. • ...
... linear models), data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering. • Python using Jupyter and Pandas proficiency is required. • ...
This role leverages quantitative modeling (linear and non-linear optimization, MILP, deep learning), machine learning algorithms, and AI techniques (computer vision, classification techniques ...
This role leverages quantitative modeling (linear and non-linear optimization, MILP, deep learning), machine learning algorithms, and AI techniques (computer vision, classification techniques ...
... linear models), data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering. • Python using Jupyter and Pandas proficiency is required. • ...
... linear models), data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering. • Python using Jupyter and Pandas proficiency is required. • ...
Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health
New York, NY · On-site
$222.27/hr
Topics covered include the data generating process, model selection and evaluation, generalized linear models, various supervised and unsupervised machine learning algorithms (such as support vector ...
Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health
New York, NY · On-site
$222.27/hr
Topics covered include the data generating process, model selection and evaluation, generalized linear models, various supervised and unsupervised machine learning algorithms (such as support vector ...
... 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 ...
... 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 ...
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 ...
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 ...
Data Scientist 3
Colorado Springs, CO · 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 ...
Data Scientist 3
Colorado Springs, CO · 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 ...
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 ...
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 ...
Data Scientist 2
Honolulu, HI · 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 ...
Data Scientist 2
Honolulu, HI · 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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
... 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 ...
... 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 ...
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 ...
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 ...
Linear Models information
See salary details
$52.5K - $65.6K
4% of jobs
$65.6K - $78.7K
17% of jobs
$80.6K is the 25th percentile. Wages below this are outliers.
$78.7K - $91.8K
29% of jobs
$91.8K - $104.9K
0% of jobs
$104.9K - $118K
2% of jobs
$118K - $131K
7% of jobs
$131K - $144.1K
7% of jobs
$151.1K is the 75th percentile. Wages above this are outliers.
$144.1K - $157.2K
16% of jobs
$157.2K - $170.3K
7% of jobs
$170.3K - $183.4K
5% of jobs
$183.4K - $196.5K
5% of jobs
$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?
| Aspect | Linear Models | Data Analysts |
|---|---|---|
| Required credentials | Statistics, mathematics, or data science degrees; proficiency in statistical software | Statistics, data analysis, or related degrees; skills in data visualization and reporting |
| Work environment | Analytical, research-focused; often in tech, finance, or healthcare industries | Business or corporate settings; focus on interpreting data for decision-making |
| Employer usage | Developing predictive models, understanding relationships between variables | Interpreting 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:
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 27 days ago
Job description
WHAT WE'RE LOOKING FOR
Berkshire Hathaway Homestate Companies has an immediate for a Pricing Actuary to join its Actuarial team! This individual is responsible for integrating industry and company performance data to develop and implement pricing strategies across various regions, markets, and products within our Workers Compensation business. Additionally, this position will provide essential technical support to guide the effective use of the company's pricing models and analytical tools.
Works closely and communicates effectively with internal and external clients, data analytics team, actuaries, underwriting, marketing, and other departmental teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Ability to present findings back to the business by exposing assumptions and validations in a way that can be easily understood by business counterparts is essential.
ESSENTIAL RESPONSIBILITIES AND PRINCIPAL ACCOUNTABILITIES
- Review rate adequacy and provide recommendations when deviations and revisions from standard assumptions are appropriate.
- Enhance and refine existing pricing models and develop new pricing models to support the Company's strategic objectives.
- Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
- Develop and maintain analytical standards and procedures, including peer reviews, to ensure consistency across department of analysis, execution, knowledge sharing and documentation.
- Actively engage with and participate in industry professional organizations and rating committees, representing the Company's strategic interests while presenting as an expert thought leader within the professional community.
LEADERSHIP RESPONSIBILITIES
As a member of the Senior Leadership Team (SLT), works collaboratively with members of the SLT to actively champion enterprise initiatives, ensuring the organization's vision, mission, goals and objectives are operationalized. Models and reinforces organizational values and behaviors in all leadership actions. Relies primarily on substantial experience, discerning judgment, and leadership skills to perform the functions of the job and achieve results in established timelines. Takes an anticipatory approach to solving problems. Ensures that employees understand their level of accountability and takes appropriate action to ensure employees fully understand roles, responsibilities and performance standards and provides ongoing feedback and support. Executes all responsibilities with professionalism and in accordance with the organization's internal policies, as well as regulatory, financial, and ethical standards.
QUALIFICATIONS
EDUCATION: Bachelor's degree in Statistics, Mathematics, Risk Management, or other related quantitative field, required.
CERTIFICATIONS/LICENSES: Fellow or Associate of the Casualty Actual Society strongly preferred. Predictive Modeling accreditation desirable.
EXPERIENCE:
- Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required.
- Experience with statistical computer languages and fluency with "big data" tools (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is preferred.
REQUIRED TECHNICAL SKILLS:
- In-depth knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis.
- Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.).
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
DESIRED COMPETENCIES
- PROBLEM-SOLVING: Logical thought process and problem-solving ability; able to effectively gather and analyze information skillfully and provide solutions in complex situations. Seeks root causes. Anticipates long-term problem areas and associated risk levels with objective rationale. Identifies items requiring additional information or action and addresses and communicates appropriately.
- STATISTICAL ANALYSIS: Studies industrial, business, and technological trends and forecasts. Differentiates data sources for validity, reliability, and credibility. Assesses the validity of business strategy recommendations against trend and historical data.
- INTERPERSONAL: Solid team-builder, be result oriented, a creative and strategic thinker with innovative problem-solving skills. Approachable and trustworthy with innate ability to form strong and meaningful bonds with executives and stakeholders. Active participant on SLT.
- INNOVATION AND INITIATIVE: Exhibits a drive to learn and master new technologies and techniques. Employs sound judgment in determining how innovations will be deployed to produce higher return on investments. Analyzes previously used concepts, processes or trends to devise new efficiencies or approaches not obvious to others. Thinks expansively by combining ideas in unique ways or making connections between disparate ideas.
- BUSINESS FOCUS: Leads discussions with senior leaders and internal partners to support strategic planning and decision making. Solicits authoritative perspectives and advice prior to approving recommendations.
- DATA VISUALIZATION AND COMMUNICATION: Debates opinions, test understanding and clarifies judgments. Ability to explain and illustrate the context of multiple, complex inter-related situations to a wide and diversified audience.
WHAT WE OFFER
- Bonus Eligibility
- Hybrid Work Schedule (up to 2 days work from home)
- Paid Time Off
- Paid Holidays
- Immediate Vesting of Retirement Savings + Company Match
- Group Health Insurance (Medical, Dental, and Vision)
- Life and AD&D Insurance
- Long Term Disability Insurance
- Hospital Indemnity Insurance
- Accident and Critical Illness Insurance
- Flexible Savings Accounts
- Paid Community Volunteer Day
- Employee Assistance Program
- Tuition Reimbursement Program
- Employee Referral Program
- Diversity, Equity and Inclusion Program
WHO WE ARE
With more than 50 years in business, Berkshire Hathaway Homestate Companies (BHHC) has grown from a regional organization to a national insurance group, offering insurance products from coast to coast. Relationships are the cornerstone of our culture, and we believe in doing the right thing. That means we invest in our business in every way possible to deliver on our mission and demonstrate that people are what powers our success. Our commitment to financial strength and integrity means our customers can rest assured that we will be there when it counts.
At BHHC we embrace diversity and foster an environment where our people can be their authentic selves. Our differences make us stronger and better together, which fosters a harmonious workplace-something we truly value. We've created an approachable and collaborative atmosphere. Here you'll find a welcoming workplace where everyone can feel valued, supported, and inspired to do great work. Together, we raise the bar by being curious, remaining customer-focused, and operating with integrity.
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About Berkshire Hathaway Homestate
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