2

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

Senior Scientist

Big Bend, WI ยท On-site

$120K - $150K/yr

Analyze and interpret experimental data related to performance, stability, and shelf life ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Collect and analyze process data and evaluate simulation results to make engineering assessments ... We're solving the world's most difficult challenges through materials science. Our advanced ...

Building Science Testing Technician Intertek, a leading provider of quality and safety solutions to ... Provide assessment of data through reporting * Work utilizing drawings, specifications and diagrams

This role provides design, drawings, specifications, instructions and other data required for the ... Bachelor of Science Degree in Engineering * 1-3 years of experience in engineering design and/or ...

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

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

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

next page

Showing results 1-20

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 Jul 1, 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.

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.

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 Racine, WI? The most popular types of Data Scientist jobs in Racine, WI are:
What are popular job titles related to Entry Level Data Scientist jobs in Racine, WI? For Entry Level Data Scientist jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Racine, WI look for? The top searched job categories for Entry Level 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:
Infographic showing various Entry Level Data Scientist job openings in Racine, WI as of June 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,734 per year, or $74.4 per hour.
Junior/Entry Level Data Scientist/Analyst

Junior/Entry Level Data Scientist/Analyst

SynergisticIT

Kenosha, WI โ€ข On-site

Other

Posted yesterday


Job description

The Secret to Getting Hired in Tech Again ? Get Interviews and Get Hiredโ€ Getting hired in tech isn't just about knowing how to code โ€” it's about proving you can deliver value from day one. SynergisticIT helps you do exactly that.

With handsโ€on tech projects and personalized interview coaching, you'll build a profile that employers trust. Also get your resume directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. Whether you're a recent CS graduate or someone returning after a career gap, Synergisticit gives you the credibility and visibility needed to secure your next role.

You've worked hard to build your skills, but employers won't notice unless your profile is positioned correctly. If your applications disappear into a black hole, you're experiencing the modern hiring funnel. Most resumes never reach a hiring manager.

They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signalsโ€”specific stacks, strong project depth, relevant certifications, and clear experience narratives. That's why "I applied a lotโ€ often leads to silence. The fix is not more applications.

The fix is improving what your application communicates in the first 10 seconds. Most rejections happen before a human ever sees your resume. Applicant tracking systems filter out thousands of qualified candidates every day.

SynergisticIT helps you beat the system by optimizing your resume, preparing you for technical interviews, and marketing your profile directly to Fortune 500 clients. No more getting lost in automated filters. Whether you're a new grad, someone with a career gap, or a laidโ€off developer, JOPP ensures your skills reach real hiring managers.

If you want to bypass the noise and get real opportunities, JOPP is built for you. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.

Our purpose is to align your skills and profile with what employers are hiring for right nowโ€”so you get responses, interviews, and offers. Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?โ€) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.

Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system.

Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers). Please read our blogs please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience?

| Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If recruiters aren't responding, it's not the endโ€”it's feedback. And you can fix it with the right plan.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.