Data Scientist Intern (Supplyframe, Summer 2024)

Key Skills

Apache Hadoop, Data science techniques, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming

Job Description

Why You’ll Love Interning Here:

• Strong track record of providing an inclusive culture of belonging and empowerment in an entrepreneurial environment.

• Gain real world experiences and become more marketable as you partner with the very best minds in our industry.

• Flexible schedules and work-from-home opportunities; casual dress environment.

What You’ll Be Doing:

Supplyframe, recently acquired by Siemens, is currently recruiting students to kick off our Summer 2024 Internship Program.

We are looking for a talented and ambitious Data Scientist Intern. This individual will have the opportunity to work on a wide spectrum of projects, ranging from traditional machine learning problems in traffic prediction, user intent modeling to domain-specific challenges in graph learning, document summarization and recommender system.

Our goal is to empower our students to become the next generation of leaders at our company!

Who/What We Are Looking For:

• Actively enrolled as a university student and in pursuit of a PhD or Master’s Degree in Statistics, Data Science, Machine Learning or related quantitative discipline.

• Actual work experiences in training machine learning models and python programming.

• Passion for solving real-world problems on web analytics with user log data.

Preferred, But Not Required:

• Experience with Hadoop/Spark/Scala.

• Experience in research and a proven track record of solving end-to-end problems, from formulating research questions to implementing practical solutions.

The hourly range for this position is $43.27 to $48.08. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.