Intern for Data Scientist

Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT! More than 50,000 customers worldwide trust our comprehensive, cloud-driven networking solutions and rely on our highly-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. With double-digit growth year over year, no provider is better positioned to deliver improved outcomes on a large scale than Extreme. We believe in "walking the walk" of our strong core values which allow us to successfully move forward 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. Join us and become part of something big! 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's 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 result in an outstanding customer user experience with Extreme's 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 strengths 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 product testing 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 open-source 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 us all to advance. We push the boundaries of technology by leveraging the powers of machine learning, artificial intelligence, analytics, and automation. More than 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 accordance with our values, no employee or applicant will face discrimination/harassment based on race, color, ancestry, national origin, religion, age, gender, marital status, sexual orientation, gender identity, disability status, or veteran status. 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.