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Entry Level Data Scientist Jobs in Racine, WI (NOW HIRING)

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes

Snap-on Inc

Support Engineer

Kenosha, WI

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes

Snap-on Inc

Support Engineer

Kenosha, WI

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes

Actalent

Sales Development Representative

Wauwatosa, WI · On-site

$343K/yr

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Racine, WI

Entry Level Data Scientist information

See Racine, WI salary details

$43.1K

$154.7K

$228.3K

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

As of Aug 14, 2026, the average yearly pay for entry level data scientist in Racine, WI is $154,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,400.00 per year, depending on experience, location, and employer.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve your chances of landing the role.

Can a data scientist be entry-level?

Yes, entry-level data scientist positions are available for candidates with limited professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically focus on learning and developing skills through on-the-job training or internships.

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.

More about Entry Level Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Racine, WI?

The most popular types of Data Scientist jobs in Racine, WI are:

What cities near Racine, WI are hiring for Entry Level Data Scientist jobs?

Cities near Racine, WI with the most Entry Level Data Scientist job openings:

Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Racine, WI as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 79% In-person, 10% Hybrid, and 11% Remote job distribution, with an average salary of $154,734 per year, or $74.4 per hour.

Support Engineer

Snap-on Inc

Kenosha, WI • On-site

Full-time

Re-posted 28 days ago

Snap-on rating

7.4

Company rating: 7.4 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

286th of 489 rated machine equipment manufacturers

Job description

Overview
We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.
Responsibilities
  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)

Qualifications
  • Bachelor's degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications
  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

Key Competencies
  • Structured problem-solving and root cause analysis
  • Ability to translate issues into actionable technical and functional requirements
  • Ownership mindset with attention to detail
  • Curiosity and willingness to experiment with AI-driven support improvements
  • Strong collaboration across engineering, product, and support teams

What Snap-on employees say

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