精选DS岗位 | DISH Network、Intel、Amazon等公司发布新岗位！
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Students who demonstrate DISH’s core values of Curiosity, Pride, Adventure and Winning.
Popular Area(s) of Study: Computer Science or Information Technology or related
Skills
Experience with SQL, Python, R, Tableau, and Excel in a business environment required
Experience manipulating large datasets in a business environment required
Experience translating data to actionable insights required
Excellent facilitation skills; Strong desire to communicate in all settings
Apply objective, analytical, and orderly thinking to the analysis of complex problems
Embrace the Adventure; Willing to take risks, try innovative approaches, be adaptable to change, and learn from failures
Demonstrate Curiosity; Strong desire to learn and add value to all aspects of the Dish business
Bachelor’s Degree in related field
Fully onsite in Denver,CO region
Successful completion of a pre-employment screen including a transcript evaluation, reference check, criminal background check, and possible drug test.
https://jobs.dish.com/jobs/74089
Minimum Qualifications:
The candidate must be an active student pursuing a Master's degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, Econometrics, or a related field.
6+ months of experience modeling complex systems as systems of differential equations.
6+ months of experience in any of the following topics: NLP, predictive analytics, business analytics, time series forecasting, dynamical systems modeling, control theory, statistical analysis, and applied machine learning research.
Preferred Qualifications:
Knowledge of Intel's products and the competitive landscape in which Intel operates.
Experience using Neural ODEs to model dynamic systems.
Experience in strategy consulting or similar professional services environments.
Experience deploying machine learning models into production environments.
Experience collaborating using Github or similar platforms.
Experience writing clean, well-documented, production-quality code.
Currently enrolled in a Bachelor’s/Master's (or higher) in analytically rigorous field such as Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics or other equivalent discipline with a graduation date after May/June 2024
Must be eligible and available for a full-time (40h / week) internship between July 10 to December 15, 2023
Proficient understanding of data modelling, descriptive statistics, and SQL
Excellent written and verbal communication skills and the ability to succinctly summarize key findings
Working knowledge of Python or R for exploratory data analysis and modeling
Knows how to ingest, process, persist, and analyze data with a strong technical insight to address customer challenges
Ability to work successfully in an ambiguous environment, to meet tight deadlines and prioritize workload even when faced with conflicting priorities
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