2

Entry Level Data Scientist Jobs in Rochester, MN

TESS Intern - Fall 2026

Rochester, MN · On-site

$14.75 - $19.50/hr

Developing data and storage requirements, reporting, analytics, and delivery methods in data ... Bachelors or Associates degree in process with Computer Science, Information Systems, Business ...

Civil Engineer-in-Training, Municipal

Rochester, MN · On-site

$64K - $74K/yr

This entry level position involves working collaboratively with design teams in the development of ... Collect and analysis data and perform calculations that support civil system design decisions and ...

Entry Level Data Scientist information

See Rochester, MN salary details

$42.2K

$151.3K

$223.3K

How much do entry level data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level data scientist in Rochester, MN is $151,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $155,900.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Rochester, MN? The most popular types of Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Entry Level Data Scientist jobs in Rochester, MN? For Entry Level Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Rochester, MN look for? The top searched job categories for Entry Level Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Entry Level Data Scientist jobs? Cities near Rochester, MN with the most Entry Level Data Scientist job openings:
TESS Intern - Fall 2026

TESS Intern - Fall 2026

RSM

Rochester, MN • On-site

$14.75 - $19.50/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Responsibilities:

  • Provide assistance for time-sensitive and proprietary tasks for assigned leadership team members as requested.

  • Assist assigned leadership with ongoing projects and deliverables Leveraging knowledge of assigned practice, support leadership in execution of strategic or tactical imperatives

  • Start to develop an understanding of solution offerings and relationships with supporting leadership.

  • Liaise with internal organizations (human resources, finance, marketing, sales) to develop, implement and maintain efficient and effective support processes in support of leadership imperatives

  • Be a resource to assigned teams, fielding questions, liaising with team members to share best practices, promoting efficiency and standardization

  • In conjunction with assigned leadership, support the definition of project scope and revise as appropriate to meet changing needs and requirements.

  • Support leadership to manage project objectives, schedule, resources and deliverables.

  • Create and update project plans In conjunction with assigned leadership, develop leadership meeting objectives and agendas, document meeting outcomes, and follow up on related action items

  • Work with leadership to coordinate risk mitigation, process improvement, communication, and support needs affecting the successful delivery of client solutions.

  • Analytical duties may include but are not limited to:

  • Developing data and storage requirements, reporting, analytics, and delivery methods in data standards and metadata.

  • Develop, analyze, and evaluate data to create and maintain business intelligence frameworks.

  • Integrate and mine large data sets, connecting data from disparate sources to identify critical insights and pragmatic data solutions.

  • Maintain/update/create technical specifications (ex. data mapping, data flows, and dashboard content).

  • Develop real-time reporting for analyzing KPIs.

  • Design and create analysis and reports that include summaries, graphs, diagrams, and other visual representations in BI or excel.

  • Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes.

  • Discover and define new processes for improvement and opportunities.

Required Qualifications:

  • Bachelors or Associates degree in process with Computer Science, Information Systems, Business Analytics major preferred

  • Proficient in Microsoft Office specifically Microsoft Excel

  • Ability to work within a team atmosphere

  • Effective organization and time management skills.

Preferred Qualifications:

  • Experience with a Business Intelligence (BI) tool preferred

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry-level candidates who require sponsorship now or in the future. This includes individuals who will one day request or require RSM to file or complete immigration-related forms or prepare letters on their behalf in order for them to obtain or continue their work authorization.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $26 - $32 per hour