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Highest Paying Computer Science Jobs in Minnesota

... payer targeting and coverage expansion opportunities • Train commercial team users on how to ... Required : • Bachelor's degree in data science, statistics, mathematics, computer science ...

... payer targeting and coverage expansion opportunities Train commercial team users on how to ... Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a ...

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

... payer targeting and coverage expansion opportunities • Train commercial team users on how to ... Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... payer targeting and coverage expansion opportunities • Train commercial team users on how to ... Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer ...

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Highest Paying Computer Science information

What are the highest paying jobs in computer science?

The highest paying jobs in computer science often include roles such as software architect, machine learning engineer, data scientist, IT manager, and cloud solutions architect. These positions typically require advanced technical skills and may involve leadership responsibilities. Compensation can vary based on experience, education, industry, and geographic location, but these roles consistently offer some of the highest salaries in the tech sector. Many of these jobs also provide opportunities for growth and specialization.

What types of projects and responsibilities can I expect in the highest paying computer science roles?

In the highest paying computer science positions, such as those in machine learning, artificial intelligence, or cybersecurity, you can expect to work on complex, high-impact projects that drive business innovation or protect critical data. Typical responsibilities include designing scalable algorithms, building and optimizing large systems, and collaborating closely with cross-functional teams like data scientists, product managers, and engineers. These roles often require staying current with emerging technologies and solving challenging technical problems, making adaptability and continuous learning essential. You may also have opportunities to mentor junior staff and lead technical initiatives, which can accelerate your career growth.

What are the key skills and qualifications needed to thrive in the highest paying computer science roles, and why are they important?

To excel in the highest paying computer science roles, you typically need expertise in computer programming, systems design, and algorithm development, supported by a bachelor's or master's degree in computer science or related fields. Proficiency with advanced programming languages (like Python, Java, or C++), cloud platforms, and relevant certifications (such as AWS Certified Solutions Architect or Certified Information Systems Security Professional) is highly valued. Exceptional problem-solving abilities, strong analytical thinking, and effective collaboration skills help professionals stand out in these competitive positions. These capabilities are crucial for innovating, building robust software solutions, and driving business success in a rapidly evolving tech landscape.
What job categories do people searching Highest Paying Computer Science jobs in Minnesota look for? The top searched job categories for Highest Paying Computer Science jobs in Minnesota are:
What cities in Minnesota are hiring for Highest Paying Computer Science jobs? Cities in Minnesota with the most Highest Paying Computer Science job openings:
Data Scientist

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Posted 28 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.

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