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Statistics Computer Science Entry Level Jobs (NOW HIRING)

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Statistics Computer Science Entry Level information

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$50.5K

$111.3K

$137.5K

How much do statistics computer science entry level jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistics computer science entry level in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What profession makes $400,000 a year?

In the field of computer science and data analysis, senior data scientists, machine learning engineers, and some specialized roles in finance or tech management can earn $400,000 or more annually, especially with experience, advanced skills, and working in high-paying industries or companies. Entry-level positions, such as those for statistics or computer science, typically have lower starting salaries but can grow significantly with experience and specialization.

What are entry-level statistics computer science jobs?

Entry-level statistics computer science jobs are positions designed for recent graduates or individuals with limited professional experience in both statistics and computer science. These roles often focus on data analysis, software development, or applying statistical methods to solve computational problems. Typical job titles include data analyst, junior data scientist, statistical programmer, or research assistant. Employers may seek candidates with knowledge of programming languages like Python or R, as well as a strong foundation in statistical concepts. These positions provide valuable experience and a pathway to more advanced roles in data science or analytics.

What jobs pay $2000 a day?

In the field of statistics and computer science, high-paying roles such as data science consultants, machine learning experts, or senior quantitative analysts can earn around $2,000 per day, especially with specialized skills, experience, and consulting or contract work. These roles often require advanced knowledge of programming, statistical tools, and industry-specific expertise, and may involve freelance or project-based work environments.

What job makes $10,000 a month without a degree?

In the field of statistics and computer science, roles such as data scientist, machine learning engineer, or software developer can potentially earn $10,000 or more per month with relevant skills and experience, often without a formal degree if they have strong portfolios or certifications. These jobs typically require proficiency in programming, data analysis tools, and problem-solving abilities, and may involve freelance work, consulting, or working for tech companies. However, high earnings usually depend on expertise, location, and the ability to secure high-paying projects or positions.

What are the key skills and qualifications needed to thrive as an Entry Level Statistics Computer Science professional, and why are they important?

To thrive as an Entry Level Statistics Computer Science professional, you need a solid understanding of statistical methods, data analysis, and basic programming skills, typically supported by a degree in statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization libraries, as well as experience with version control systems such as Git, is highly valuable. Analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with diverse teams. These skills ensure accurate data-driven insights, efficient problem-solving, and successful contributions to technical projects in a data-oriented workplace.

What types of projects can an entry-level Statistics Computer Science professional expect to work on, and how does teamwork typically factor into these projects?

As an entry-level Statistics Computer Science professional, you can expect to work on projects involving data analysis, data cleaning, and the development of basic algorithms or models. You’ll often collaborate closely with data scientists, engineers, and sometimes business analysts, contributing to tasks such as preparing datasets, writing scripts for data processing, and supporting the implementation of statistical models. Teamwork is essential, as projects are typically cross-functional and require clear communication and cooperation to ensure the accuracy and efficiency of outcomes. This collaborative environment provides a great opportunity to learn from more experienced colleagues and grow your technical and soft skills.

Why are Gen Z struggling to find jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and evolving skill requirements like proficiency in digital tools and data analysis. Entry-level roles in fields like statistics and computer science may also require certifications or internships, which can be difficult to secure without prior experience.
More about Statistics Computer Science Entry Level jobs
Entry-Level Spring Boot Developer

Entry-Level Spring Boot Developer

SynergisticIT

Thornton, CO

Other

Posted 14 days ago


Job description

Are you passionate about coding or technology and ready to make your mark in tech? For more than 15 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career!
Why Partner with SynergisticIT?

  • Customized inputs to achieve the desired output :designed with industry needs in mind, ensuring you're equipped with the most sought-after skills.
  • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms.
  • Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more!

https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Who Should Apply? We're looking for recent grads in Mathematics, Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey!
Preferred SKILLS For Java /Full stack/Devops Positions
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, AWS, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Engineer, Data Analyst/AI/Machine learning Positions
Preferred SKILLS
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Databricks, Snowflake, Pyspark , PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates
Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support. All positions are open to candidates of all visa types and US citizens.
Are you ready to make an impact?