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Linear Regression Jobs in Texas (NOW HIRING)

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.

Bank OZK

Associate, Quantitative Modeling

Dallas, TX

Linear and non-linear regression; * Maximum likelihood estimation; * Time series estimation and forecasting; * Panel data analysis; * Limited dependent and qualitative variable models; * Optimization;

Zilliant

Application Consultant

Austin, TX · On-site

Apply advanced analytics techniques such as non-linear regression, resampling methods, and predictive modeling (e.g., demand forecasting, customer segmentation) using Python, leveraging libraries ...

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naive Bayes classifiers.

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113 - $148/hr

Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naive Bayes classifiers.

Bank OZK

Associate, Quantitative Modeling

Dallas, TX · On-site

Linear and non-linear regression; * Maximum likelihood estimation; * Time series estimation and forecasting; * Panel data analysis; * Limited dependent and qualitative variable models; * Optimization;

SoFi

Fraud Model Developer

Frisco, TX · On-site

Demonstrated experience developing and evaluating statistical and machine learning models, including methods such as linear regression, logistic regression, decision trees, gradient boosting, random ...

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Linear Regression information

What are the key skills and qualifications needed to thrive as a data analyst specializing in linear regression?

To excel as a Data Analyst specializing in Linear Regression, you need a strong background in statistics, mathematics, and data interpretation, typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with statistical software and programming languages such as R, Python (with libraries like scikit-learn), and data visualization tools is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting results and conveying insights to stakeholders. These competencies are crucial for accurately modeling relationships within data, making data-driven decisions, and providing actionable recommendations.

What is linear regression?

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data. It aims to find the best-fitting straight line (in simple linear regression) that predicts the value of the dependent variable based on the values of the independent variables. Linear regression is widely used in data analysis, forecasting, and machine learning for tasks such as predicting trends and estimating relationships between variables. It is one of the simplest and most interpretable techniques in statistics and predictive modeling.

What are common challenges faced by professionals working with linear regression models in real-world data analysis?

One of the main challenges when applying linear regression in real-world scenarios is dealing with data that may not meet the assumptions of linearity, homoscedasticity, and normality of residuals. Additionally, real data often contains outliers or multicollinearity among predictors, which can skew results and reduce model reliability. Professionals typically spend significant time on data preprocessing, feature selection, and validating model performance. Collaboration with domain experts is crucial to ensure that chosen variables make sense and that model outputs are actionable for business or research decisions.

What is the difference between Linear Regression vs Data Analyst?

AspectLinear RegressionData Analyst
Primary RoleBuilds statistical models to predict outcomesAnalyzes data to identify trends and support decision-making
Skills RequiredStatistics, programming (Python/R), data modelingData visualization, Excel, SQL, basic statistics
Work EnvironmentData science teams, research projectsBusiness units, reporting, dashboards
CertificationsData Science, Machine Learning certificationsData Analysis, Business Intelligence certifications

While Linear Regression focuses on creating predictive models using statistical techniques, Data Analysts interpret data to generate insights and support business decisions. Both roles require analytical skills, but Linear Regression specialists often have a stronger background in statistics and programming, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Linear Regression jobs in Texas? For Linear Regression jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Linear Regression jobs in Texas look for? The top searched job categories for Linear Regression jobs in Texas are:
Linear Regression jobs near you
Infographic showing various Linear Regression job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 6% Temporary, and 14% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Sr. Data Scientist

Lennox International

Richardson, TX • On-site

$113K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Lennox International rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

340th of 487 rated machine equipment manufacturers

Job description

Who We Are
Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member's contributions and offers a supportive environment for career development. Come, stay, and grow with us.
What Drives Success
We are seeking a motivated and analytical Data Scientist to develop machine learning models and advanced analytics solutions that drive business value across the organization. In this role, you'll partner with cross-functional teams to solve complex business problems, uncover actionable insights, and transform data into scalable, data-driven solutions.
The ideal candidate has a strong foundation in statistics, machine learning, and programming, along with a passion for solving real-world challenges through data. If you enjoy working with large, complex datasets and collaborating to deliver innovative solutions, we'd love to hear from you.
Machine Learning & Analytics
  • Develop and deploy machine learning models and predictive analytics solutions.
  • Build custom data models and algorithms to solve complex business problems.
  • Apply statistical techniques and advanced analytics to generate actionable insights.
  • Use data exploration techniques to identify trends and uncover new opportunities.

Business Partnership & Strategy
  • Partner with stakeholders to understand business objectives and translate them into data-driven solutions.
  • Identify opportunities for high-impact analytics initiatives that improve business performance.
  • Develop expertise across Sales, Marketing, Engineering, Supply Chain, and Finance datasets.

Data Management & Collaboration
  • Merge, manage, and analyze large, complex datasets.
  • Collaborate with cross-functional teams to implement models and monitor data quality and model performance.
  • Develop and improve analytics processes, workflows, and best practices.
  • Present findings through clear data visualizations and communicate insights to technical and non-technical audiences.

Teamwork & Leadership
  • Foster a collaborative team environment through knowledge sharing and mentoring.
  • Support continuous improvement initiatives and promote best practices.
  • Build strong working relationships across the organization.

What We Are Looking For
  • Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field with 5+ years of experience in data science, analytics, machine learning, or a related discipline; or a Master's degree in a related field with 3+ years of relevant experience.
  • Strong problem-solving skills with the ability to apply quantitative and qualitative analytical methods.
  • Proficiency in Python, R, SQL, PySpark, or similar programming languages used for data analysis.
  • Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.
  • Understanding of big data architectures, distributed computing concepts, and large-scale data processing.
  • Experience working with relational databases and large, complex datasets.
  • Strong communication skills with the ability to present analytical findings to technical and non-technical stakeholders.
  • Experience with Spark MLlib and strong software development skills.
  • Basic understanding of unstructured data analysis.
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik.

Preferred Qualifications
  • Exposure to deep learning techniques.
  • Experience with distributed deep learning frameworks such as TensorFlow, Horovod, or similar technologies.

What We Offer
Compensation: This is a salaried exempt role. The starting salary range for this role and market is between $113,000 - $148,050 annually. Factors that may affect starting salary include geography/market and the skills, education, experience, and other qualifications of the successful candidate. Employees in this role are also eligible for an annual bonus in accordance with the terms of the Company's applicable plan. Employees in this role are not eligible for overtime.
Benefits: Subject to applicable eligibility requirements, the following benefits are offered for this role: tuition reimbursement; medical, dental, and vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability insurance; 8 weeks paid birthing leave; 2 weeks paid bonding leave; life and long-term disability insurance.
Depending on date of hire, and subject to applicable eligibility requirements, new employees in this role also receive up to: 12 days paid time off, 2 paid well-being days, 1 paid volunteer day, 12 paid holidays, and 3 floating holidays per year.
Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization. They define our culture - which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member's contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you'll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us!
Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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