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Intern Amazon Data Science Jobs in Roxboro, NC (NOW HIRING)

Duke University

NONDUKE STUDENT/INTERN

Durham, NC

Strong interest in community engagement, data science, or social impact * Experience with data ... Intern | Program Planner Intern | Community Impact Intern What You'll Do: Responsibilities will ...

Duke University

NONDUKE STUDENT/INTERN

Durham, NC · On-site

Strong interest in community engagement, data science, or social impact * Experience with data ... Intern | Program Planner Intern | Community Impact Intern What You'll Do: Responsibilities will ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

ABB

Finance Intern - Fall 2026

Mebane, NC · Hybrid

$20 - $34/hr

Currently enrolled in a bachelor's degree program in Finance, Accounting, Computer Science or Data Science in the United States. * Intern must have reliable transportation to and from the worksite.

Duke University

CLINICAL RESEARCH INTERN

Durham, NC

$18 - $26.49/hr

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

Duke University

CLINICAL RESEARCH INTERN

Durham, NC · On-site

$18 - $26.49/hr

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Bachelor's degree in Computer Science, Applied Computer Science, Engineering, Information ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Bachelor's degree in Computer Science, Applied Computer Science, Engineering, Information ...

Compunnel

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Develop, test, deploy, and support ETL batch jobs using Apache Spark and Amazon EMR. Build and ... Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Buildsautomated pipelines to deploy to various environments and services using Amazon Web Services ... Education and Experience: Bachelor's degree in Computer Science, Engineering, Information ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automated pipelines to deploy to various environments and services using Amazon Web Services ... Education and Experience: Bachelor's degree in Computer Science, Engineering, Information ...

Sipcam Agro USA

Intern - Regulatory Affairs

Durham, NC · On-site

Support Good Laboratory Practice (GLP) data achievement processes. * Help with the review and ... Pursuing a Bachelor's degree in Science (Agricultural Science, Environmental Science, or related ...

Fidelity Investments

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

... on Amazon Web Services (AWS). Performs database querying by leveraging SQL. Primary ... Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

She received postdoctoral training at Department of Data Science, Dana-Farber Cancer Institute and ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

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How much do intern amazon data science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for intern amazon data science in Roxboro, NC is $14.99, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $16.92 per hour, depending on experience, location, and employer.

What is the difference between Intern Amazon Data Science vs Intern Amazon Software Development Engineer?

AspectIntern Amazon Data ScienceIntern Amazon Software Development Engineer
Required SkillsData analysis, statistical modeling, machine learning, programming in Python/RSoftware development, coding in Java/C++, system design
Work EnvironmentData analysis projects, modeling, researchApplication development, coding, debugging
Common UsageData-driven decision making, predictive modelingBuilding and maintaining software systems

Intern Amazon Data Science focuses on analyzing data, building models, and deriving insights, while Intern Amazon Software Development Engineer emphasizes coding, developing, and maintaining software applications. Both roles require programming skills but differ in their core tasks and project focus.

What cities near Roxboro, NC are hiring for Intern Amazon Data Science jobs? Cities near Roxboro, NC with the most Intern Amazon Data Science job openings:
Intern Amazon Data Science jobs near you
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Re-posted 5 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 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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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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