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Commercial Modeling Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Scientist

Minneapolis, MN

Master's or PhD in quantitative field Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement Survival analysis ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The Marketing Data Scientist will analyze data to build predictive models that inform commercial strategy and collaborate with marketing and sales teams to enhance decision-making processes.

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... and commercial leadership. Accountabilities & Responsibilities • Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation • Build and validate ...

Pentair

Commercial Finance Manager

Golden Valley, MN

Pentair is currently seeking a Commercial Finance Manager, Pool to join our team at our location in ... Develop financial models and forecasts for major actions including price realization * Ensure ...

Medium

Director, Product

Minneapolis, MN · On-site

$130 - $180/hr

You will set strategy for KLICs and the Data Engine, build the commercial model to monetize them, and ensure our data capabilities fuel AI-driven outcomes -- not just move data between systems.

Kobie Marketing

Director, Product

Minneapolis, MN · Remote

$243K - $254K/yr

You will set strategy for KLICs and the Data Engine, build the commercial model to monetize them, and ensure our data capabilities fuel AI-driven outcomes - not just move data between systems.

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How much do commercial modeling jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for commercial modeling in Minnesota is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.12 per hour, depending on experience, location, and employer.

What is a Commercial Modeling job?

A Commercial Modeling job involves working with brands, companies, and advertisers to promote products or services through print, digital, and video advertisements. Commercial models appear in magazines, social media campaigns, TV commercials, product packaging, and billboards. Unlike high-fashion modeling, commercial modeling focuses on relatability and diversity, meaning models of all ages, sizes, and looks can succeed. Strong posing skills, expressive facial expressions, and comfort in front of the camera are essential. Commercial models often work with photographers, marketing teams, and casting agents to bring a brand's vision to life.

What are the key skills and qualifications needed to thrive in the Commercial Modeling position, and why are they important?

To thrive in Commercial Modeling, you need a strong portfolio showcasing photogenic qualities, body awareness, and the ability to express a range of emotions for camera and audience appeal. Familiarity with casting platforms, digital submission processes, and, in some cases, posing workshops or modeling certifications can be beneficial. Strong communication skills, professionalism, reliability, and the ability to take direction gracefully are important soft skills for this field. These attributes help models stand out to clients and agencies, ensuring successful collaborations and repeat opportunities in a highly competitive industry.

What does a typical workday look like for a Commercial Model?

A typical day for a Commercial Model can vary widely, but often includes traveling to photo shoots or video sets, collaborating with photographers and creative teams, and participating in fittings or rehearsals. Models may spend significant time preparing their appearance, practicing poses, and adapting to the creative vision of each client. Flexibility is key, as schedules may change with short notice and shoots can last several hours. Additionally, models often handle administrative tasks such as updating their portfolios, attending auditions ('go-sees'), and communicating with agencies or clients. This dynamic environment offers variety but also requires adaptability and strong time management skills.

What are the most commonly searched types of Commercial Modeling jobs in Minnesota? The most popular types of Commercial Modeling jobs in Minnesota are:
What are popular job titles related to Commercial Modeling jobs in Minnesota? For Commercial Modeling jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Commercial Modeling jobs in Minnesota look for? The top searched job categories for Commercial Modeling jobs in Minnesota are:
Commercial Modeling jobs near you
Infographic showing various Commercial Modeling job openings in Minnesota as of July 2026, with employment types broken down into 67% Full Time, and 33% Nights. Highlights an 100% In-person job distribution, with an average salary of $41,937 per year, or $20.2 per hour.

Data Scientist

Tactile Medical

Minneapolis, MN

Other

Re-posted 16 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile's internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
Build and validate predictive models using appropriate machine learning and statistical methodologies
Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
Develop predictive analytics supporting payer targeting and coverage expansion opportunities
Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
Manage assigned projects to completion on time, within scope, and within budget.
Other duties as assigned.

Qualifications

Required:
Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
4-7 years applied data science or machine learning experience, applied in commercial or operational environments
Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
Master's or PhD in quantitative field
Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
Survival analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
Salesforce data architecture familiarity - understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
Experience in a B2B2C or referral-based commercial model where the customer and the end user are different

What Tactile Medical employees say

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Hours and flexibility

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