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2025 New Grad Computer Science Jobs in Raleigh, NC

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... and 2025), AAAI'25 New Faculty Highlights, NAIRR Pilot Award, UNC Accelerating AI Award, CPAL ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... and 2025), AAAI'25 New Faculty Highlights, NAIRR Pilot Award, UNC Accelerating AI Award, CPAL ...

NCSU

Lecturer

Raleigh, NC

Department of Computer Science is accepting applications for the position of Lecturer (part-time ... This is for Summer 2025, Fall 2025, and Spring 2026 sessions. Successful candidate(s) will teach ...

NCSU

Lecturer

Raleigh, NC

Department of Computer Science is accepting applications for the position of Lecturer (part-time ... This is for Summer 2025, Fall 2025, and Spring 2026 sessions. Successful candidate(s) will teach ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Bachelor of Science degree in a relevant field such as statistics, computer science, economics ... Willingness to learn new tools/techniques. Preferred Qualifications: * Familiarity with AWS Cloud ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics ... Willingness to learn new tools/techniques. Preferred Qualifications: * Familiarity with AWS Cloud ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

... new frameworks, define methodologies and governance. • Lead small- to medium-sized teams (direct ... Preferred : • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related ...

Varsity Tutors

Computer Programming Tutor

Raleigh, NC · Remote

$18 - $40/hr

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Computer Programming Tutor

Durham, NC · Remote

$18 - $40/hr

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Computer Programming Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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All Jobs2025 New Grad Computer Science Jobs2025 New Grad Computer Science Jobs in Raleigh, NC

2025 New Grad Computer Science information

What are the key skills and qualifications needed to thrive in the 2025 New Grad Computer Science position, and why are they important?

To thrive as a 2025 New Grad in Computer Science, you need a solid understanding of programming fundamentals, algorithms, data structures, and a relevant bachelor's degree in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, as well as version control systems (e.g., Git), and exposure to cloud platforms or industry certifications can be advantageous. Strong problem-solving abilities, effective communication, and a willingness to learn are valuable soft skills in this position. These competencies enable new graduates to adapt quickly, contribute to projects efficiently, and collaborate well within dynamic technology teams.

What is a 2025 New Grad Computer Science job?

A 2025 New Grad Computer Science job is an entry-level position designed for students graduating with a computer science degree (or a related field) in 2025. These roles are typically offered by tech companies across various industries, including software development, cybersecurity, data science, and AI. Employers seek candidates with strong programming skills, problem-solving abilities, and experience through internships or projects. These positions provide recent graduates with hands-on experience, mentorship, and career growth opportunities.

What types of projects or tasks can I expect as a new graduate in a Computer Science role?

As a new graduate in Computer Science, you can expect to work on a variety of tasks ranging from writing and testing code to participating in team meetings, debugging software, and assisting with the design and implementation of new features. Many entry-level roles offer opportunities to collaborate on real-world projects under the guidance of experienced engineers, which helps you quickly develop practical technical skills. You may also participate in code reviews, documentation, and agile development cycles. This variety not only helps you build a strong foundation but also exposes you to different areas of software development to inform your future career growth.

What are the most commonly searched types of 2025 New Grad Computer Science jobs in Raleigh, NC? The most popular types of 2025 New Grad Computer Science jobs in Raleigh, NC are:
What are popular job titles related to 2025 New Grad Computer Science jobs in Raleigh, NC? For 2025 New Grad Computer Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching 2025 New Grad Computer Science jobs in Raleigh, NC look for? The top searched job categories for 2025 New Grad Computer Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for 2025 New Grad Computer Science jobs? Cities near Raleigh, NC with the most 2025 New Grad Computer Science job openings:
2025 New Grad Computer Science jobs near you
Infographic showing various 2025 New Grad Computer Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 100% In-person job distribution.

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 15 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services

Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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#LI-DNI
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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