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At Home Data Scientist Risk Jobs in Minnesota (NOW HIRING)

Tactile Medical specializes in developing at-home therapy devices for various medical conditions. The Marketing Data Scientist will analyze data to build predictive models that inform commercial ...

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is ...

You can learn more about LexisNexis Risk at the link below, About our Team: The Analytic Customer ... About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

LexisNexis Risk Solutions We develop industry-leading solutions that are pro-people, anti-fraud and ... Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

At General Mills, we make the food the world loves. Behind every great decision is great data, and ... We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and ...

New

Senior Data Scientist

Minneapolis, MN · On-site

$108K - $181K/yr

At General Mills, we make the food the world loves. Behind every great decision is great data, and ... We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and ...

New

... with at least 3 years in a Principal, Lead, or equivalent senior technical level. • Advanced ... risk/dependency management). • Experience with unstructured data and advanced AI (e.g., LLMs, NLP ...

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

With more than 200 active defense programs, Lyntris works at every level of the mission, from ... Senior Data Scientist * Full Time * Onsite/Hybrid Preferred The Senior Data Scientist is ...

At Vantive, you will become part of a community of people who are focused, courageous and don't ... The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ...

Data Scientist-Jr

Rochester, MN · Hybrid

$102K - $138K/yr

MEANINGFUL WORK AND PERSONAL IMPACT The Data Scientist-Junior will support the USSOCOM Intelligence Data Science Team program directly supporting the SOCAF mission at Kelley Barracks located in ...

At Vantive, you will become part of a community of people who are focused, courageous and don't ... The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ...

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

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Showing results 1-20

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Minnesota? The most popular types of Data Scientist Risk jobs in Minnesota are:
What are popular job titles related to At Home Data Scientist Risk jobs in Minnesota? For At Home Data Scientist Risk jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Minnesota look for? The top searched job categories for At Home Data Scientist Risk jobs in Minnesota are:
What cities in Minnesota are hiring for At Home Data Scientist Risk jobs? Cities in Minnesota with the most At Home Data Scientist Risk job openings:
Data Scientist

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Posted 27 days ago


Tactile Medical rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Tactile Medical specializes in developing at-home therapy devices for various medical conditions. 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.
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
Company:
Tactile Medical develops medical devices that support the treatment of edema and vascular diseases at home. Founded in 1995, the company is headquartered in Minneapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Tactile Medical employees say

Pay

Hours and flexibility

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