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Home Based Commercial Modeling Jobs in Minnesota

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

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 ...

Minnesota Valley Action Council

Home Visitor

Le Center, MN · On-site

$20.54 - $21.35/hr

... home-based program model. Services include family support, education, health, mental health, and nutrition. This position conducts outreach and recruitment activities, establishes and maintains ...

Daikin Applied

Sr. Model Based Controls Engineer

Plymouth, MN · On-site

$101K - $133K/yr

... modeling tools and design. Come be a part of an exciting journey at Daikin Applied, where ... Plymouth, MN or Staunton, VA - Hybrid (1 day/week from home) Your Responsibilities: * Design and ...

Daikin Applied

Sr. Model Based Controls Engineer

Plymouth, MN · On-site

$101K - $133K/yr

... modeling tools and design. Come be a part of an exciting journey at Daikin Applied, where ... Plymouth, MN or Staunton, VA - Hybrid (1 day/week from home) Your Responsibilities: * Design and ...

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Home Based Commercial Modeling information

How to get home based commercial modeling jobs?

To get home-based commercial modeling jobs, create a professional portfolio and register with online modeling platforms or agencies that specialize in remote work. Building a strong online presence and demonstrating versatility can increase your chances of being selected for remote commercial projects. Additionally, having good communication skills and understanding client requirements are important for success in this field.

How to become a home based commercial model?

To become a home-based commercial model, you should build a professional portfolio, often including high-quality photos that showcase your appearance and expressions. You can then register with modeling agencies or online platforms that connect models with clients, and develop skills in front of the camera. Having good communication skills and understanding client needs can also improve your chances of success in this flexible role.

What is the difference between Home Based Commercial Modeling vs On-Camera Commercial Acting?

AspectHome Based Commercial ModelingOn-Camera Commercial Acting
CredentialsPortfolio, modeling experienceActing classes, audition experience
Work EnvironmentHome studio or remote shootsStudio, on-location, or remote
Industry UsageAdvertising, product promotionCommercials, brand campaigns
Search & ComparisonOften compared for remote modeling jobsMore focused on acting skills and auditions

Home Based Commercial Modeling primarily involves posing for advertisements remotely, often from a home studio, focusing on visual presentation. On-Camera Commercial Acting requires performing scripted roles in commercials, emphasizing acting skills and auditioning. While both roles are used in advertising and share some credentials, they differ in work environment and job focus.

How can I get into home based commercial modeling?

Home based commercial modeling involves creating promotional content from your residence, often requiring a professional portfolio and good communication skills. Building a presence on social media platforms and connecting with modeling agencies or casting calls can help you find opportunities. Having a suitable space, good lighting, and basic video or photo editing skills are also beneficial.
Home Based Commercial Modeling jobs near you

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted 2 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

Pay

Benefits

Hours and flexibility

Workplace

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