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Internship Machine Learning Quant Jobs in Minnesota

... 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 ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ... quantitative field; advanced degree, relevant internship experience, or equivalent hands-on ...

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... quantitative field and a minimum of one year of professional or research experience in data.

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... or other analytical/quantitative and a minimum of three years of professional or research ...

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and ... highly quantitative field. * Experience : 5+ years of software engineering experience, with at ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... 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 ...

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

... 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 ...

AI/ML Intern - Radiation Oncology

Rochester, MN

$15.25 - $19.75/hr

Interns will utilize statistics and computer science to solve complex problems in healthcare. ... machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for ...

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Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What job categories do people searching Internship Machine Learning Quant jobs in Minnesota look for? The top searched job categories for Internship Machine Learning Quant jobs in Minnesota are:
Data Scientist

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Posted 25 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

Workplace

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