Skill

Logistic Regression

Data Science, Analytics and AI/ML

Logistic regression is a statistical and machine learning method used to model the probability of a binary or categorical outcome based on one or more predictor variables. It applies a logistic (sigmoid) function to a linear combination of inputs, making it widely used by data scientists and analysts for classification tasks such as churn prediction, credit scoring, and medical diagnosis. It is valued for its interpretability compared to more complex classification models.

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Logistic Regression in the job market

Last checked September 13, 2026

Open roles: 8
Employers: 6
Median pay: —
Disclose pay: —

Open roles requiring Logistic Regression (8)

Predictive Modeler

Auto-Owners Insurance

Lansing, MI

Auto-Owners Insurance seeks a predictive modeler to develop statistical and machine learning models addressing business and regulatory needs, working with large datasets and presenting findings to stakeholders. The role suits quantitative professionals interested in applying analytics to insurance problems with hybrid flexibility.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

Industrial R&D Statistics & Experimentation Manager

General Mills

Full-time · Minneapolis, MN · $128,900 – $193,400

Lead a statistics and data science team of five within a food company's R&D organization, balancing people management with hands-on work on experiment design, statistical modeling, and decision-making support across product and process development. This role suits experienced statisticians who want to grow into leadership while maintaining technical credibility and influence across a matrixed organization.

Listed on General Mills’s careers site · Apply there ↗

Sr Data Scientist - Supply Chain Optimization (Middle Mile)

Target

Full-time · $98,000 – $211,000

Target is seeking a senior data scientist to develop and deploy optimization and machine learning algorithms that improve supply chain decisions across inventory, transportation, and distribution. This role suits experienced practitioners with strong quantitative backgrounds who want to apply advanced analytics to large-scale operational problems.

Listed on Target’s careers site · Apply there ↗

Data Scientist

Levi Strauss & Co.

Full-time · €60,500 – €80,700

This role involves building machine learning and analytics solutions to optimize pricing, promotions, and business processes for a major retail company. It suits data scientists with commercial experience who can translate stakeholder needs into production models and communicate insights across technical and business audiences.

Listed on Levi Strauss & Co.’s careers site · Apply there ↗

Advanced Analytics Modeler (Hybrid Work Model)

Sentry Insurance

Stevens Point, WI

This role develops statistical and machine learning models to solve business problems across pricing, underwriting, and claims at an insurance company. It suits quantitative professionals who want to apply data science techniques to real business outcomes while working with cross-functional teams.

Listed on Sentry Insurance’s careers site · Apply there ↗

Staff Data Scientist – Voice of the Customer (VoC)

Intuit

San Diego, CA · $185,500 – $251,000

This Staff Data Scientist role leads Voice of the Customer analytics at Intuit, translating customer feedback into actionable insights that drive retention, revenue, and product strategy. The position suits experienced data scientists who can architect scalable AI systems, mentor teams, and influence executive decisions through rigorous statistical and machine learning analysis.

Listed on Intuit’s careers site · Apply there ↗

Data Scientist

Auto-Owners Insurance

Lansing, MI

This role involves building statistical and machine learning models to solve insurance business problems and improve decision-making across the company. It suits someone with a quantitative background and 2-4 years of professional modeling experience who wants to work collaboratively on high-impact analytics in a hybrid environment.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

Experienced Data Scientist

Auto-Owners Insurance

Full-time · Lansing, MI

This role leads the development and deployment of statistical and machine learning models to solve complex insurance business problems, requiring deep expertise in data science techniques and large-scale data handling. It suits experienced data scientists who want to mentor others and influence decision-making across a large organization.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

Asked for alongside Logistic Regression

Measured from the 8 open roles that name Logistic Regression — not from a curated list.

Python8 roles100.0%
SQL7 roles87.5%
Machine Learning6 roles75.0%
R6 roles75.0%
Statistical Modeling4 roles50.0%
Deep Learning3 roles37.5%

Roles that use Logistic Regression

Data Scientist6

Employers hiring for Logistic Regression

6 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.