IBM | 数据科学实习生
职位描述
Implement and validate predictive models; create and maintain statistical models with a focus on big data.
Communicate with internal and external clients to understand business needs and provide analytical solutions.
Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc. to analyze data and provide insights.
Work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Data analytics including identifying, retrieving, manipulating, relating and exploiting multiple structured and unstructured data sets from various sources including building or generating new data sets.
Identify, retrieve, manipulate, relate and exploit multiple structured and unstructured data sets from various sources including building or generating new data sets as appropriate.
Create and present materials on data projects, data science architecture and analytics strategies.
职位要求
You can debug, troubleshoot, design and implement solutions to complex technical issues.
You have a knack for analytics and solving problems using data.
You have a strong understanding of programming languages extensively used in Data Science applications (e.g., R, Python, Scala, Java, etc.)
Must have basic knowledge of statistical concepts such as probability theory and hypothesis testing.
Must have experience coding in R and/or Python.
Must have experience developing deep learning models using various libraries such as TensorFlow, Keras, PyTorch, etc.
Must be enrolled or accepted into an accredited post-bachelor degree program.
实习地点
New York, NY
申请链接
https://bit.ly/2T1w6fO
Facebook｜数据科学实习生
职位描述
Work closely with a product engineering team to identify and answer important product questions
Answer product questions by using appropriate statistical techniques on available data
Communicate findings to product managers and engineers
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of product experiments
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
职位要求
Minimum: Pursuing Ph.D. in CS or related technical field
Must be returning to school for at least one semester/quarter post internship
Extensive experience solving analytical problems using quantitative approaches
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
A strong passion for empirical research and for answering hard questions with data
A flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Fluency with at least one scripting language such as Python or PHP
Familiarity with relational databases and SQL
Expert knowledge of an analysis tool such as R, Matlab, or SAS
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op
实习地点
New York, NY
申请链接
https://bit.ly/2KE0iKt
Uber，Amazon的数据大咖
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