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.
Logistic Regression in the job market
Last checked October 28, 2026
- Open roles
- 12
- Employers
- 9
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
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 ↗
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 ↗
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 ↗
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 ↗
Asked for alongside Logistic Regression
Measured from the 12 open roles that name Logistic Regression — not from a curated list.
- Python11 roles91.7%
- SQL10 roles83.3%
- Machine Learning8 roles66.7%
- R6 roles50.0%
- Statistical Modeling6 roles50.0%
- Amazon Web Services (AWS)4 roles33.3%
- Deep Learning4 roles33.3%
- Feature Engineering3 roles25.0%
Roles that use Logistic Regression
Employers hiring for Logistic Regression
9 in total, most open roles first.
- AIAuto-Owners Insurance3 roles
- CConfido2 roles
- AAllegiant1 role
- BBluefish1 role
- DA
- General Mills1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.