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

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 ...

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 ...

TESS Intern - Fall 2026

Racine, WI · On-site

$14 - $18.75/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 ...

TESS Intern - Fall 2026

Kenosha, WI · On-site

$15 - $19.75/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 ...

TESS Intern - Fall 2026

Milwaukee, WI · On-site

$14.75 - $19.75/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 ...

... scientists, digital innovators, program and construction managers and other professionals ... Job Details: * Gather and correlate basic engineering data using established and well-defined ...

Java Developer

Milwaukee, WI

$50.25 - $65/hr

Students who have completed their Master / Bachelors / MBA and other entry level professionals who ... Responsibilities may also include participation in component and data architecture design ...

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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 Jun 9, 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.

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

Associate Facilities Mechanical Engineer

ATI

Cudahy, WI

Full-time

Posted 25 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

About ATI
ATI is a global manufacturer and supplier of specialty metal alloys, including titanium, nickel, and steel forgings. Our materials are used in a wide range of end-use markets such as aerospace, energy, oil & gas, and general industrial sectors. With multiple operating facilities, we deliver high-performance products to customers worldwide.

Position Summary
We are seeking an Associate Facilities Mechanical Engineer to join our team in Cudahy, WI. This role providesdesign, drawings, specifications, instructions and other data required for the manufacture, construction, operation, or erection of machines, tools, equipment, buildings or facilities of a degree of simplicity to complexity. Performs experimental developmental or shop follow-up work under supervision.

Key Responsibilities

1. Makes design layouts, utilizing the principles of stress analysis, mechanics, kinematics, machine and tool design, strength of materials, physics, mathematics, and other physical sciences.

a) Work from concepts, sketches, layouts, instruction, specifications or any other requirements.

b) Be responsible for accuracy, mathematical computations, and functional correctness of designs.

2. Makes assembly and detailed drawings, prepare bills of material, specifications sheets, procedures, instructions, and other technical data.

3. Review assigned projects and investigates routine problems concerning machinery, tools, equipment, building, or facilities.

a) Attend tryouts in shop regarding new methods of manufacture, job or processes.

b) Recommend, redesign, repair, or rebuild to overcome difficulties, correct improper function or meet requirements.

4. Work with other engineers, designers, draftsmen, and/or representatives of other departments on matters involving requirements or performance of tools, machinery, equipment, building, or facilities.

5. Maintain job-working records and prepare reports and correspondence. Responsible for accuracy, mathematical computations of functions correctness of work performed.

6. Works on assignments as given and directed.