ZipRecruiter

Log In

1

Internship Machine Learning Quant Jobs in Minnesota

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

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 ...

Accelint

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 ...

Staxa Technologies

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 ...

Tactile Medical

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 ...

Autodesk

Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and ... Communicate findings and technical insights through quantitative analysis, visualizations, and ...

Jostens

Data Scientist

Minneapolis, MN · On-site

Preferred masters level degree in a quantitative discipline such as computer science, mathematics, machine learning, applied statistics or relevant engineering discipline. * Technical Skills.

Jostens

Data Scientist

Minneapolis, MN · Hybrid

Preferred masters level degree in a quantitative discipline such as computer science, mathematics, machine learning, applied statistics or relevant engineering discipline. * Technical Skills.

New

General Mills

Principal Data Scientist

Minneapolis, MN · On-site

... machine learning, to unlock measurable value across the Supply Chain and aligned domains. By ... Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics ...

next page

Showing results 1-20

All JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Minnesota

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 are popular job titles related to Internship Machine Learning Quant jobs in Minnesota? For Internship Machine Learning Quant jobs in Minnesota, the most frequently searched job titles are:
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:
Internship Machine Learning Quant jobs near you
Data Scientist

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Other

Posted 4 days ago

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

Apply