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New Grad Data Scientist Jobs (NOW HIRING)

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Deep understanding and some exposure to new Gen AI Open-source Models * At least 5 years ...

As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Enthusiasm for learning new technical subject areas and curiosity about science and technology missions * Must be a U.S. citizen with an active TS/SCI clearance with polygraph Compensation Data ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Enthusiasm for learning new technical subject areas and curiosity about science and technology missions * Must be a U.S. citizen with an active TS/SCI clearance with polygraph Compensation Data ...

Drive the collection of new data and the refinement of existing data sources * Create analyses that ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY (must ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... new technologies and tools quickly. • Continued professional development through courses ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

Finds and designs new approaches to handle, analyze, and use large data sets. * Solves complex data ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

... new data and the refinement of existing data sources • Create analyses that tell compelling stories and inspire action Qualifications : Required : • 5+ years of data science experience with a ...

Data Scientist General Information Requisition #715 Locations USA-VA-Arlington Posting Date 06/12 ... Comfortable learning new tools, methodologies, and domains, including working outside your comfort ...

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks ... The candidate is highly motivated and enthusiastic about implementing new technologies in a small ...

Showing results 41-60

New Grad Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do new grad data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

More about New Grad Data Scientist jobs

What cities are hiring for New Grad Data Scientist jobs?

Cities with the most New Grad Data Scientist job openings:

What states have the most New Grad Data Scientist jobs?

States with the most job openings for New Grad Data Scientist jobs include:

Infographic showing various New Grad Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

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Job description

DATA SCIENTIST
W2 Candidates only
Addison, TX/ Chandler, AZ/ Kennesaw, GA
Years of Experience required : 8 - 9 +
Must Have skills: create & Implemented AI/ML model experience, create Data pipelines, and part of E2E deployment.
Job Description:
Key Responsibilities:
We're looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models.
REQUIRED SKILLS
  • 7+ years of experience as Data Scientist or related roles
  • Bachelor's degree in Computer Science, or a related technical field
  • Deep understanding and some exposure to new Gen AI Open-source Models
  • At least 5 years programming experience in software development and Agile process
  • At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.
  • Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization
  • Experience in ML/NLP development pipelines of large data sets, both structured unstructured
  • At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
  • Knowledge and hands-on experience working with OCR products

DESIRED SKILLS
  • Master's degree in Computer Science/Data Science, or a related technical field
  • Collaborating with a diverse set of partners and stakeholders from various Line of Business.
  • Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight
  • Critical thinker; ability to analyze problems and identify issues and provide solutions
  • Ability to navigate the enterprise data assets across multiple functions.
  • Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment
  • Excellent communication and Presentation skills
  • Analytical abilities great problem solving
  • Client focused

High Level Skills Required
  • Primary - 7+ years' as Data Scientist or related roles
  • Bachelor's degree in Computer Science, or a related technical field
  • Deep understanding and some exposure to new Gen AI Open-source Models
  • At least 5 years programming experience in software development and Agile process
  • At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.

Additional Education/Training Requirements