精选DS岗位 | HPE、NVIDIA、Pinterest公司岗位发布！

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【HPE】

行业分类：Information technology

公司规模：60,200人

工作地点：San Jose, CA；Roseville, CA；Fort Collins, CO；Bloomington, MN；Houston, TX；Alpharetta, GA；Andover, MA；Durham, NC；Chippewa Falls, WI

• Bachelor’s/Master’s degree with a focus in computer science, statistics, mathematics, electrical engineering, or relevant area prior to your start date

• Basic knowledge of data science methodologies

• Have a working proficiency in effective use of analytics software (e.g., R, SAS, SPSS, Python, Cplex) and data programming languages.

• You are fully comfortable working in a hybrid (virtual and face-to-face) environment.

• Preferred GPA of 3.0 or higher

• The drive to seek out what’s next and to deliver exceptional results

• A collaborative, solution focused spirit and overall sense of urgency

• The desire to embrace new ideas and fresh thinking and seek out ideas different than your own

• Experience as an active leader on campus who strives to make a positive impact on the world

• Comfort with working in a hybrid (virtual and face-to-face) environment

• Exceptional communication and presentation skills and the ability to ask smart questions

【Pinterest】

职位：University Grad Data Science (Masters Only)

• Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• location

What we need to see:

• Pursuing a graduate degree in a quantitative field (Computer Science, Machine Learning, Applied Math, Computational Sciences, or related)

• Excellent Python programming, debugging, performance analysis, and test design skills

• Experience working with common Python data analytics and machine learning libraries including pandas, scikit-learn, NumPy, Dask, PyTorch, etc

• Strong analytical problem-solving skills and algorithms/mathematics fundamentals

• Excellent written and verbal communication skills

Ways to stand out from the crowd:

• Professional experience working in data science or in software development at a data-oriented organization

• Experience contributing to and working with open-source software communities

• Experience with C++/CUDA or experience developing Python bindings for C++ libraries/tools

• Experience developing for distributed systems using Hadoop, Spark, Dask, Ray or similar technologies

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