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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.

Logistic Regression in the job market

Last checked October 28, 2026

Open roles
12

on Career App

Employers
9

hiring for it

Median pay
—

not enough disclosed

Disclose pay
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of these roles

Open roles requiring Logistic Regression (12)

Operations Research Analyst

Defense Human Resources Activity

Alexandria, VA · $121,785 – $158,322

A data analytics and operations research role at the Department of Defense focused on building tools and insights to support policy decisions across human resources and cyber workforce areas. This suits analytical professionals experienced in statistical modeling, data engineering, and stakeholder engagement who want to apply their skills to national security challenges.

Via USAJOBS · Apply there ↗

Senior Data Scientist

Confido

New York, NY · $240,000 – $300,000

Build forecasting and promotional analytics models that directly ship into a B2B platform serving CPG brands managing billions in revenue. You'll work with real retail data across sell-through, inventory, and supply chain signals to help brands predict demand and optimize pricing and promotions.

Listed on Confido’s careers site · Apply there ↗

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 ↗

General Mills

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 ↗

Target

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 ↗

Levi Strauss & Co.

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 ↗

Optimization Engineer – Commercial

Allegiant

Full-time · Las Vegas, NV · $80,000 – $100,000

This role applies operations research and data science to solve commercial problems for an airline, building and refining optimization models that improve pricing and capacity decisions. It suits engineers with strong quantitative skills who want to blend mathematical modeling with production Python work on high-impact business systems.

Listed on Allegiant’s careers site · Apply there ↗

Intuit

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 ↗

Senior/Staff Data Scientist, Analytics

Bluefish

New York, NY

Bluefish is seeking a statistical expert to lead experimentation and causal inference work across their AI marketing platform, owning the rigor behind data-driven decisions across product, marketing, and operations. This role offers the chance to build analytics practices from scratch at a well-funded startup in the AI-driven martech space.

Listed on Bluefish’s careers site · Apply there ↗

Data Scientist

Confido

Full-time · New York, NY · $190,000 – $240,000

Build statistical models that forecast CPG brand sales, measure promotion impact, and drive real business decisions—not just analyses. You'll work with messy retail data across hundreds of brands to ship production-grade forecasting and pricing insights.

Listed on Confido’s careers site · Apply there ↗

View all 12 on Jobs

Asked for alongside Logistic Regression

Measured from the 12 open roles that name Logistic Regression — not from a curated list.

Roles that use Logistic Regression

Employers hiring for Logistic Regression

9 in total, most open roles first.

Related skills

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

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