Data Scientist Intern

Posted on 9/27/2023

INACTIVE

1,001-5,000 employees

Network connectivity solutions company

Company Overview

Extreme is on a mission to create effortless networking experiences that enable all of us to advance. Extreme is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways.

AI & Machine Learning

Data & Analytics

Company Stage

N/A

Total Funding

$478.3M

Founded

1996

Headquarters

Morrisville, North Carolina

Growth & Insights

Headcount

6 month growth

↑ 2%

1 year growth

↑ 6%

2 year growth

↑ 11%

Locations

Raleigh, NC, USA

Experience Level

Intern

Desired Skills

AWS

Data Analysis

Data Science

Data Structures & Algorithms

Google Cloud Platform

Microsoft Azure

NumPy

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

Working on a bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
Strong programming skills in languages such as Python
Proficiency in data manipulation, cleaning, and visualization
Experience with statistical analysis, machine learning, and predictive modeling
Excellent problem-solving and critical-thinking skills
Strong communication and collaboration abilities
Attention to detail and ability to work independently

Responsibilities

Analyze large, complex datasets using statistical techniques and machine learning algorithms
Collaborate with cross-functional teams to identify and define key engineering and product quality data requirements
Develop and implement predictive models and algorithms to forecast future product quality
Develop and implement predictive models to hypothesize time-to-market reductions for various engineering operations strategies
Communicate and educate teams on the power and limitations of developed predictive models
Interpret and communicate findings to technical and non-technical stakeholders
Continuously improve and optimize existing models and algorithms
Ensure engineering operations data quality and integrity throughout development and testing product lifecycle

Desired Qualifications

Practical experience using opensource data analysis libraries such as numpy, panda, matplotlib, tensorflow, sklearn, and surprise
Practical experience building data tables by pulling data from common databases
Knowledge of cloud platforms such as Azure, AWS, or GCP-

Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT!

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme.

We believe in “walking the walk” of our strong core values which enable us to successfully advance together. Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive.

Come become part of something big with us! We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East.

As a Data Scientist Intern, you will be responsible for analyzing complex datasets to identify trends, patterns, and insights that drive business decisions related to the quality of Extreme products. You will work closely with cross-functional Quality Engineering teams to develop and implement statistical models, machine learning algorithms, and data-driven solutions. Your work will contribute to the development of new engineering product testing methodologies and help improve business processes that will lead to an outstanding customer user experience of Extreme products.

Responsibilities:

- Analyze large, complex datasets using statistical techniques and machine learning algorithms.

- Collaborate with cross-functional teams to identify and define key engineering and product quality data requirements.

- Develop and implement predictive models and algorithms to forecast future product quality.

- Develop and implement predictive models to hypothesize time-to-market reductions for various engineering operations strategies.

- Communicate and educate teams on the power and limitations of developed predictive models.

- Interpret and communicate findings to technical and non-technical stakeholders.

- Continuously improve and optimize existing models and algorithms.

- Ensure engineering operations data quality and integrity throughout development and testing product lifecycle.

Qualifications:

- Working on a bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Strong programming skills in languages such as Python.

- Proficiency in data manipulation, cleaning, and visualization.

- Experience with statistical analysis, machine learning, and predictive modeling.

- Excellent problem-solving and critical-thinking skills.

- Strong communication and collaboration abilities.

- Attention to detail and ability to work independently.

Preferred Qualifications:

- Practical experience using opensource data analysis libraries such as numpy, panda, matplotlib, tensorflow, sklearn, and surprise.

- Practical experience building data tables by pulling data from common databases.

- Knowledge of cloud platforms such as Azure, AWS, or GCP-

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme’s website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.