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Ds Jobs in Minnesota (NOW HIRING)

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Debt Collection Specialist

Eagan, MN · On-site

$38K - $55K/yr

DS Erickson & Associates, PLLC Employment Type: Full-Time About the Role: DS Erickson & Associates, PLLC is seeking a driven, detail-oriented Asset, Discovery & Contact Team Member to join our ...

Be Seen First

DS Erickson & Associates, PLLC Employment Type: Full-Time About the Role: DS Erickson & Associates, PLLC is seeking a driven, detail-oriented Asset, Discovery & Contact Team Member to join our ...

Be Seen First

Debt Collection Specialist

Edina, MN · On-site

$38K - $55K/yr

DS Erickson & Associates, PLLC Employment Type: Full-Time About the Role: DS Erickson & Associates, PLLC is seeking a driven, detail-oriented Asset, Discovery & Contact Team Member to join our ...

Caregiver

Mankato, MN · On-site

$16/hr

Friday 11a-3p (DS or NG) (Driver *will need own card for in-home hours) THRIVE AS A CAREGIVER AT SEVITA. EACH DAY, YOU'LL * Be proud of rewarding work helping people grow, learn, and live well

Solution Architect

Eagan, MN · On-site

$90 - $120/hr

Check for uncatalogued DS on SMS and non-SMS volumes on both Plex's * Check for production DS on test volumes and test DS on production volumes * Create and distribute IBM and Broadcom SCRT reports ...

Caregiver

Mankato, MN · On-site

$16/hr

Friday 11a-3p (DS or NG) (Driver *will need own card for in-home hours) THRIVE AS A CAREGIVER AT SEVITA. EACH DAY, YOU'LL * Be proud of rewarding work helping people grow, learn, and live well

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Ds information

See Minnesota salary details

$16

$38

$144

How much do ds jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ds in Minnesota is $38.01, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $36.25 per hour, depending on experience, location, and employer.

What is a data scientist?

Data Scientists are professionals who use statistical, mathematical, and programming skills to analyze large sets of data and extract meaningful insights. They often work with tools such as Python, R, and SQL to process data, build predictive models, and help organizations make data-driven decisions. Data Scientists play a crucial role in various industries, including technology, healthcare, finance, and retail, by turning raw data into actionable strategies.

What are the key skills and qualifications needed to thrive as a data scientist?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or mathematics, often supported by a relevant degree. Experience with programming languages like Python or R, data visualization tools, and familiarity with machine learning frameworks are typically required. Problem-solving abilities, curiosity, and effective communication skills help you interpret data insights and convey findings to non-technical stakeholders. These skills are essential for extracting actionable value from complex datasets and driving data-informed decisions within organizations.

What are some common challenges data scientists face when implementing machine learning models in production environments?

Data scientists often encounter challenges such as ensuring data quality and consistency between development and production environments, dealing with changing data (data drift), and scaling models to handle real-time predictions efficiently. Collaborating closely with data engineers and DevOps teams is essential to address these issues and maintain model reliability. Additionally, data scientists must continuously monitor model performance and retrain models as necessary to keep them relevant and accurate.

What is the difference between Ds vs Data Analysts?

AspectDsData Analysts
Required CredentialsDegree in Data Science, Computer Science, or related field; often includes certifications in machine learning or AIBachelor's degree in Statistics, Mathematics, or related field; certifications in data visualization or analytics tools are common
Work EnvironmentTypically involved in complex data modeling, machine learning, and advanced analytics projectsFocuses on data cleaning, visualization, and reporting to support business decisions
Employer & Industry UsageUsed in tech companies, finance, healthcare for advanced data solutionsCommon across various industries for routine data analysis and reporting

Data Scientists (Ds) and Data Analysts both work with data, but Ds usually handle more complex modeling and machine learning, while Data Analysts focus on interpreting data and creating reports. The choice depends on the complexity of tasks and required skills.

Infographic showing various Ds job openings in Minnesota as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $79,067 per year, or $38 per hour.

Debt Collection Specialist

DS Erickson & Associates PLLC

Eagan, MN • On-site

$38K - $55K/yr

Full-time

Medical, Dental

Re-posted yesterday

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Job description

Asset, Discovery & Contact Team Member

Job Opportunity: Asset, Discovery & Contact Team Member

Company: DS Erickson & Associates, PLLC

Employment Type: Full-Time

About the Role: DS Erickson & Associates, PLLC is seeking a driven, detail-oriented Asset, Discovery & Contact Team Member to join our growing firm. This is a critical high-volume role focused on the investigative front-end of consumer collections. You will be responsible for transforming leads into actionable contacts and identifying assets that drive our legal strategy.

This is a "Bridge" Role: We are looking for high-performers. For those who demonstrate exceptional investigative skills, communication skills, and a strong grasp of our workflow, there is a clear career path to transition into a Paralegal role, where you will manage formal legal proceedings and litigation support.

Key Responsibilities

  • Skip Tracing: Utilize advanced skip tracing tools and databases to locate consumers and identify verifiable assets.
  • Lead Generation: Analyze files, data and leads to generate high-quality contact information for the collection team.
  • Discovery & Research: Conduct deep-dive research into employment, property records, and financial backgrounds to determine the viability of legal action.
  • Data Management: Maintain accurate, real-time documentation within our case management system.
  • Support Capacity: Work closely with the paralegals and attorneys to ensure a seamless hand-off of verified files.

Candidate Qualities & Requirements

  • Relevant Experience: Proven background in consumer collections, collection support, or high-volume skip tracing.
  • Investigative Mindset: You enjoy "the hunt" and have a knack for finding information that isn't easily accessible.
  • Efficiency: Ability to manage a high volume of files while maintaining consistent output of work.
  • Communication: Strong verbal and written skills for external communications and internal collaboration and professional documentation.
  • Compliance-Focused: A solid understanding of FDCPA regulations and privacy laws.
  • Growth-Oriented: A desire to learn the legal side of the industry and eventually move into a paralegal capacity.