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New Grad Data Scientist Jobs (NOW HIRING)

TAD PGS, Inc

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 ...

Cmu

Data Scientist

Arlington, VA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... new technologies that will influence national cybersecurity strategy for decades to come. You will ...

neptune technologies

Data Scientist

Duluth, GA

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

LEK

Data Scientist

Boston, MA · On-site

$110 - $120/hr

Support the design and commercialization of new offerings across datascience, ML, agentic AI, and ... Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$120K - $135K/yr

Continuously learn and apply new data science and machine learning techniques relevant to Lutron's products and business Qualifications * Graduate degree in Data Science, Computer Science, Statistics ...

Aven

Data Scientist

Campbell, CA · On-site

... 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 ...

Ulta Beauty

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 ...

Arenatechnologies

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

... new SSN‑X program (developing the next generation attack submarine), to bring improved ... Job Position SPA is looking for a Mid‑Level Data Scientist with Artificial Intelligence ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Comfortable learning new tools, methodologies, and domains, including working outside your comfort ...

Pantar Solutions, Inc.

Data Scientist

Charlotte, NC · On-site

Data Scientist Location: Charlotte, NC - Onsite Duration: 3 to 6 Months - Contract to Hire ... They design new ways to incorporate vast information with a focus on information technology topics.

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

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 ...

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All JobsNew Grad Data Scientist Jobs

New Grad Data Scientist information

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$196.5K

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

As of Aug 15, 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:

What job categories do people searching New Grad Data Scientist jobs look for?

The top searched job categories for New Grad Data Scientist jobs are:

New Grad Data Scientist jobs near you
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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

TAD PGS, Inc

Washington, DC • On-site

$52.88 - $57.69/hr

Contractor

Medical, Retirement

Re-posted 12 days ago

Job description

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area.

Pay Rate: $52.88 - $57.69

**US Citizenship is required.**
**Candidate must possess an Active Top Secret/SCI Security Clearance.**

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The data scientist will propose, implement, and leverage AI and ML solutions to advance the customer's business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implementing business intelligence and data warehousing solutions. Mine data using state-of-the-art methods.

Responsibilities:
  • Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes.
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).
  • Builds predictive risk models backed by statistical analysis and supports data-driven solutions.
  • Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate processes, and to integrate with other applications.
  • Develops and carries out full-service data calls, including the creation of collection applications and forms, data normalization, data cleansing, and visualization.
  • Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, IT system owners, and Division and Field Office leaders.
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
  • Researches and recommends business data storage and data integration solutions specific to the IT environment.
  • Develops user guides and documents for business intelligence products.
  • Finds and designs new approaches to handle, analyze, and use large data sets.
  • Solves complex data and storage issues.
  • Analyzes and reports results with actionable recommendations.
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).
  • Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings.
  • Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from leadership.
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
  • Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools.

Basic Hiring Criteria:
  • In the absence of years of experience, certifications, or past work may be used to show the level of experience needed to perform at this level.
  • Strong proficiency with the Power Platform, SharePoint, and Infopath tool suite required.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc, required.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc, required.
  • Experience with data science tools and software such as Microsoft Power BI, Anaconda, and Statistical Package for the Social Sciences (SPSS) required.
  • Experience connecting to and extracting/manipulating data from the following systems strongly preferred: Asset Management System (AMS), BigFix, Enterprise Process Automation System (EPAS), Facilities Integration Tool (FIT), Joint Cybersecurity Authorization and Management (JCAM), HR Source/HR Reports, Sentinel, Tenable, Unified Finance Management System (UFMS), Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike.

Benefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.

Military connected talent encouraged to apply.

VEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance