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

... entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data ... Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make ...

Junior Full-Stack Developer

Milwaukee, WI

$66K - $85.70K/yr

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Bachelor's degree in Science or related field and/or equivalent combination of education and/or ... Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively ...

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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 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 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 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.

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 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:
Infographic showing various Entry Level Data Scientist job openings in Racine, WI as of May 2026, with employment types broken down into 2% As Needed, 92% Full Time, 5% Part Time, and 1% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $154,734 per year, or $74.4 per hour.
Entry Level Data Analyst

Other

Posted 23 days ago


Job description

SynergisticIT Job Opportunity

SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make their careers in the IT industry are encouraged to apply. Candidates who are serious about their future in the IT industry and have set big goals for themselves are also welcome. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio can benefit from our skill enhancement programs.

We offer skill enhancement programs if the candidates are missing skills or experience which our clients need. Candidates who lack experience, have had a break in careers, lack technical competency, or are different visa candidates who want to get employed and settle down in the USA are encouraged to apply.

Required Skills for Java/Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
Required Skills for Data Science/Machine Learning
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry level position. The additional skills are the only way a candidate can be picked by clients. No third party candidates or c2c candidates. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.