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Data Science Jobs in St Cloud, MN (NOW HIRING)

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field. * Ten (10) or more years of data analytics experience within an EPC (Engineering ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field. * Ten (10) or more years of data analytics experience within an EPC (Engineering ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered. * Proficiency ...

Jefferson Capital Systems

Data Analyst

Sartell, MN

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered. * Proficiency ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

REQUIREMENTSBachelor 's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.

FocusKPI

Marketing Operations Analyst

Saint Cloud, MN · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Preferred Credit, Inc.

MS Fabric Data Engineer

Saint Cloud, MN

$82K - $102K/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

WHAT WE'RE LOOKING FOR Must-Have Qualifications: * BS in Computer Science or equivalent program or equivalent experience * 3-4 years of overall data engineering experience, with 1-2 years (minimum ...

Preferred Credit, Inc.

MS Fabric Data Engineer

Saint Cloud, MN · On-site

$82K - $102K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

WHAT WE'RE LOOKING FOR Must-Have Qualifications: * BS in Computer Science or equivalent program or equivalent experience * 3-4 years of overall data engineering experience, with 1-2 years (minimum ...

Bespoke Labs

Data Engineer

Saint Cloud, MN · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Stantec

Lead Wetland Scientist

Saint Cloud, MN · On-site

$73K - $105K/yr

... science. * Willingness to travel (up to 75%) and the ability to work in the field for long hours in adverse weather conditions. * Mapping and data collection applications (Field Maps and Survey123 ...

Blattner Company

Senior Data Engineer (Hybrid)

Avon, MN · Hybrid

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in a technology area of study; preferably in Computer Science, MIS or Analytics ... Extensive experience with data dictionaries, data analysis, and relational databases. Proven ...

Blattner Company

Senior Data Engineer (Hybrid)

Avon, MN · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in a technology area of study; preferably in Computer Science, MIS or Analytics ... Extensive experience with data dictionaries, data analysis, and relational databases. Proven ...

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Data Science information

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$37.1K

$121.6K

$194.6K

How much do data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science in St. Cloud, MN is $121,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,700.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.
More about Data Science jobs

What cities near St. Cloud, MN are hiring for Data Science jobs?

Cities near St. Cloud, MN with the most Data Science job openings:

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Infographic showing various Data Science job openings in St. Cloud, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,574 per year, or $58.4 per hour.

Principal Data Analyst (Hybrid)

Blattner Company

Avon, MN • On-site

$121K - $176K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Blattner Energy rating

6.0

Company rating: 6.0 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

75th of 80 rated construction

Job description

A DAY IN THE LIFE
The Principal Data Analyst is a senior individual contributor on the IT Data, Analytics & Integrations team who drives enterprise-wide data-informed decision-making. This role serves as the analytics standard-setter and thought leader for the organization, with a primary business focus on Safety, Operations, and Quality while supporting the broader enterprise. The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating departmental analysts across the business, and guides the organization's adoption of the Microsoft data platform including Power BI and Microsoft Fabric.
STEP INTO THE ROLE
  • Champions an enterprise-wide Analytics Community of Practice, setting reporting and analytics standards, sharing best practices, and enabling departmental analysts to deliver consistent, high-quality analytics.
  • Serves as a senior analytics resource across the enterprise, developing advanced solutions that support operational performance, risk reduction, and continuous improvement.
  • Defines enterprise standards for dashboards and report design in Microsoft Power BI and Microsoft Fabric, ensuring analytics across the business deliver consistent, actionable insights to decision-makers at all levels..
  • Researches and evaluates emerging data tools and technologies; recommends and guides enterprise-wide adoption.

WHAT YOU'LL NEED
  • Bachelor's Degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
  • Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and Construction) company. Demonstrated experience working across business domains including Safety, Operations, and Quality.

WHAT SETS YOU APART
  • Ability to travel up to 30% of the time.
  • Advanced proficiency in Microsoft Power BI and Microsoft Fabric for dashboard development, data modeling, and enterprise reporting.
  • Strong working knowledge of Microsoft Fabric and Databricks for cloud-based data processing and analytics.
  • Proficient in SQL and Python for data analysis, transformation, and pipeline development.

HOW WE INVEST IN YOU
  • Competitive pay
  • 100% employer paid HDHP insurance premiums for employees
  • 401(k) with company match
  • HSA and FSA options
  • Dental and Vision insurance
  • Education Assistance (Tuition Reimbursement)
  • Work/Life balance
  • Employee/Family focused culture
  • Gym on site
  • And more!

$121,680.00 - $176,436.00 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity.
WHO ARE WE?
With more than 115 years of construction experience, Blattner has played a vital role in building America's critical infrastructure, ranging from railroads and highways to dams and mines. Since 1997, the company has focused on renewable energy solutions and is responsible for some of the most significant solar, wind and storage projects in the U.S. Today, Blattner has installed over 20% of America's utility-scale wind, solar and energy storage capacity. Blattner Company is the parent company of Blattner Energy and D.H. Blattner & Sons, of which all are members of the Quanta Services family of companies. Company headquarters are in Avon, Minnesota.
Blattner is an Equal Employment Opportunity Employer committed to diversity and inclusion in the workplace. Blattner will not tolerate discrimination against any applicant for employment or employee on the basis of age (40 and over), ancestry, color, religious creed, gender, gender expression, gender identity, genetic information, marital status, medical condition, mental disability, military or veteran status, national origin, physical disability, race, receipt of public assistance, sex, sexual orientation, or any other status protected by federal, state, or local laws. This commitment governs all aspects of employment including, but not limited to: hiring, promotion, demotion, transfer, layoff, termination, compensation, discipline, and access to benefits and training. Additionally, Blattner is committed, in accordance with applicable law, to making reasonable accommodations for job applicants and employees based on a qualifying disability, a sincerely held religious belief or practice, and for pregnancy, childbirth or related health conditions. Applicants and employees who feel they have experienced or witnessed discrimination or who wishes to request a reasonable accommodation should contact the Human Resources Department. Blattner prohibits retaliation against any individual for making a complaint under this policy, for opposing discrimination, for participating in an investigation pursuant to this policy, or for requesting a reasonable accommodation.

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