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Statistics Computer Science Entry Level Jobs (NOW HIRING)

IFab Corporation

Data Scientist

Gastonia, NC · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Elder Research

Data Scientist

Arlington, VA

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) • Excited to learn new data science techniques and technologies • Willing to dive in and learn by doing • Ready to work ...

Elder Research

Data Scientist

Arlington, VA

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

SynergisticIT

Entry-Level Java Programmer

Savannah, GA · On-site

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... entry level position the additional skills are the only way a candidate can be picked by clients.

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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 May 30, 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 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.

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.
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Statistics Computer Science Entry Level jobs near you
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Topeka, KS • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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