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Entry Level R Statistics Jobs in Illinois (NOW HIRING)

This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager ... Familiarity with statistical analysis and machine learning concepts * Proficiency in programming ...

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Entry Level R Statistics information

What job should I do if I like statistics?

Entry-level roles for those interested in statistics include data analyst, research assistant, or statistical technician. These jobs involve analyzing data, creating reports, and using tools like Excel, R, or Python, often requiring strong analytical skills and attention to detail.

What jobs make $1,000,000 a year?

Entry-level R statistics roles typically do not pay $1,000,000 annually; such high earnings are usually associated with executive positions, successful entrepreneurs, or highly specialized roles in finance, technology, or consulting. Most high-paying jobs require extensive experience, advanced skills, and often ownership stakes or performance-based bonuses.

Is 30 too late for data science?

Entry-level R statistics roles in data science are accessible at age 30 or older, as many employers value skills and relevant experience over age. Learning programming languages like R and Python, along with data analysis tools, can help transition into the field regardless of age.

What is the difference between Entry Level R Statistics vs Data Analyst?

AspectEntry Level R StatisticsData Analyst
Required SkillsBasic R programming, statistical conceptsData visualization, SQL, Excel, some R or Python
CertificationsNone typically required, some may have statistical certificationsOptional certifications like Microsoft Excel or Tableau
Work EnvironmentResearch labs, analytics firms, financeBusiness, marketing, healthcare, finance
Typical TasksStatistical analysis, data modeling, reportingData cleaning, visualization, reporting, insights

Entry Level R Statistics roles focus on applying statistical methods using R, often in research or analytics settings. Data Analysts have a broader skill set including data visualization and tools like Excel or SQL, working across various industries. While both roles involve data handling, R Statistics positions are more specialized in statistical analysis with R, whereas Data Analysts have a more diverse toolkit and industry applications.

What professions use R?

Entry Level R Statistics roles are common in data analysis, research, and data science professions. These jobs often require skills in statistical modeling, data visualization, and programming with R, which is widely used in academia, healthcare, finance, and technology sectors for data-driven decision making.
What are the most commonly searched types of R Statistics jobs in Illinois? The most popular types of R Statistics jobs in Illinois are:
What are popular job titles related to Entry Level R Statistics jobs in Illinois? For Entry Level R Statistics jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level R Statistics jobs in Illinois look for? The top searched job categories for Entry Level R Statistics jobs in Illinois are:
What cities in Illinois are hiring for Entry Level R Statistics jobs? Cities in Illinois with the most Entry Level R Statistics job openings:

Junior Data Scientist

Benda Infotech

Chicago, IL

$70K - $100K/yr

Full-time

Posted 2 days ago


Job description

Description

Benda Infotech is excited to welcome a Junior Data Scientist to our innovative team in Chicago. This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager to dive into the world of data analysis and machine learning within the computer software and engineering industry.

As a Junior Data Scientist, you will play a crucial role in analyzing data trends, building predictive models, and supporting data-driven decision-making in the organization. You'll work closely with experienced data scientists and cross-functional teams, contributing to various projects that enhance our software products and client solutions. We offer a competitive salary range of $70,000 - $100,000 annually, along with comprehensive benefits and a nurturing environment for professional growth.

Responsibilities
  • Collect and preprocess data from various sources for analysis
  • Assist in building and validating predictive models
  • Analyze complex datasets to identify trends and insights
  • Create visualizations to communicate findings effectively
  • Collaborate with team members to develop data strategies
  • Participate in the design of data-driven experiments
  • Support the implementation of machine learning algorithms
  • Contribute to team presentations and reports based on data analysis
Requirements
  • Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field
  • Familiarity with statistical analysis and machine learning concepts
  • Proficiency in programming languages such as Python or R
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Strong analytical and problem-solving skills
  • Ability to communicate complex data findings clearly
  • Willingness to learn and adapt in a fast-paced environment
  • Experience with SQL and database management is a plus