{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"How much do entry level data scientist jobs pay per year?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#how-much-do-entry-level-data-scientist-jobs-pay-per-year","acceptedAnswer":{"@type":"Answer","text":"As of Jul 9, 2026, the average yearly pay for entry level data scientist in Springfield, IL is $163,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer."}},{"@type":"Question","name":"What Does an Entry-Level Data Scientist Do?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#what-does-an-entry-level-data-scientist-do","acceptedAnswer":{"@type":"Answer","text":"

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.

"}},{"@type":"Question","name":"What does an Entry Level Data Scientist do?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#what-does-an-entry-level-data-scientist-do","acceptedAnswer":{"@type":"Answer","text":"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."}},{"@type":"Question","name":"What are some typical challenges faced by entry level data scientists in their first year on the job?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#what-are-some-typical-challenges-faced-by-entry-level-data-scientists-in-their-first-year-on-the-job","acceptedAnswer":{"@type":"Answer","text":"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."}},{"@type":"Question","name":"What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#what-are-the-key-skills-and-qualifications-needed-to-thrive-as-an-entry-level-data-scientist-and-why-are-they-important","acceptedAnswer":{"@type":"Answer","text":"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."}},{"@type":"Question","name":"What is the difference between Entry Level Data Scientist vs Data Analyst?","url":"/Jobs/Entry-Level-Data-Scientist/-in-Springfield,IL#what-is-the-difference-between-entry-level-data-scientist-vs-data-analyst","acceptedAnswer":{"@type":"Answer","text":"

Aspect	Entry Level Data Scientist	Data Analyst
Required Credentials	Bachelor's in CS, Statistics, or related field; some knowledge of programming and machine learning	Bachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work Environment	Collaborates with data science teams, uses programming languages like Python or R, focuses on predictive modeling	Works with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry Usage	Tech companies, finance, healthcare, startups	Retail, 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.

"}}]}

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