1+ months

Data Scientist Student Intern (CAS, MM)

Charlotte, NC
**Data Scientist Student Intern (CAS, MM)**

Locations:Charlotte, North Carolina

Job Family: Internal Services


English (US)

**Job Description**

**Division:** Digital Factory

**Business Unit:** Product Lifecycle Management-PLM

**Requisition Number:** 220832

**Primary Location:** United States-North Carolina-Charlotte

**Assignment Category:** Full-time temporary

**Experience Level:** Entry level

**Education Required Level:** High School Diploma / (GED)

**Travel Required:** No

**Division Description:**

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthcare and Financial Services.

**Job Description:**

**Siemens US Talent Acquisition**

**Data Scientist Student Internship**

Location: Charlotte, NC

Start Date: May 2018

Hours: Full-time during the summer; Part-time during the school year

**Discover your career with us at Siemens PLM Software!**

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We are seeking a motivated student who has experience and a strong interest in machine learning and Big Data. You will get the opportunity to:

+ Help design software applications to perform data science for big data analysis

+ Evaluate the performance and accuracy of different data mining and machine learning algorithms for solving defined problems

+ Design solutions to enable non-technical users to benefit from advanced analytics, and work with development team for implementation

+ Architecture, design, and implementation of multi-tenant scalable data analytics platform and analytical applications

+ Assist technical team members during development cycles with machine learning knowledge


+ Currently enrolled in a university pursuing a masters degree or PhD in Data Science, Computer Science, Engineering, Mathematics, or Statistics

+ Graduating in 2019 or later

+ Experience designing, developing and deploying high-volume, multi-tiered, distributed applications

+ Strong coding skills in Java, R, Python, or C++ Proficiency of object oriented design, design patterns, data structures and multithreaded processes

+ A strong background in math, statistics and advanced analytics

+ Experience in deep learning techniques and worked with Tensorflow

+ Experience with clustering and classification techniques such as k-mean, Bayesian networks, and decision trees

+ Strong communication, partnership and self-management skills

+ Passion for working with big data and scalable solutions to help customers make data-driven decisions

+ Strong analytical and quantitative problem solving ability.

**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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

**EEO is the Law**

Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .

**Pay Transparency Non-Discrimination Provision**

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .


  • Engineering
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  • Manufacturing / Production

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Data Scientist Student Intern (CAS, MM)

Charlotte, NC

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Charlotte, NC

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