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Statistics Validator Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... and statistical methodologies • Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders • Partner across the ...

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and ...

RELX

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and ...

CSAA

Perform GLM and other statistical techniques to build, maintain, and enhance the auto and ... validation * Work with Pricing and Product Management to provide filing support, product ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... and statistical methodologies • Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders • Partner across the ...

Cargill

Consultant, Data Analytics & Reporting

Wayzata, MN · On-site

$75K - $115K/yr

STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and ... QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex reports and analyses in support of ...

Cargill

Consultant, Data Analytics & Reporting

Wayzata, MN · On-site

$75K - $115K/yr

STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and ... QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex reports and analyses in support of ...

Abbott

Engineer II

Saint Paul, MN · On-site

Influence design and verification decisions through use of applied statistics. * Support design test and inspection method development, and lead method validation activities. * Ensure DHF content ...

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All JobsStatistics Validator JobsStatistics Validator Jobs in Minnesota

Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a statistics validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.
What are popular job titles related to Statistics Validator jobs in Minnesota? For Statistics Validator jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Minnesota look for? The top searched job categories for Statistics Validator jobs in Minnesota are:
What cities in Minnesota are hiring for Statistics Validator jobs? Cities in Minnesota with the most Statistics Validator job openings:
Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Minnesota as of July 2026, with employment types broken down into 6% Internship, 56% Full Time, 19% Part Time, 13% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution.

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted 23 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

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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