Applied Sciences INTERN
Job Description
About the Role
As an Applied Science Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes.
You'll contribute to the creation of intelligent solutions through data analysis, modeling, and machine learning, ensuring our products remain at the leading edge of innovation.
Key Responsibilities
- Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
- Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
- Implement prototypes of scalable systems in AI applications.
- Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
- Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
- Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
Skills & Qualifications
- Currently pursuing a Bachelor's in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python, R, or Julia.
- Experience with data analysis and visualization tools such as Excel, Tableau, or Power BI.
- Strong communication and teamwork skills.
What You'll Learn
As an Applied Science Intern, you'll gain hands-on experience in cutting-edge research areas, including machine learning and data analysis. You'll learn to apply advanced concepts to real-world needs and use state-of-the-art tools to make a tangible impact on product quality and business outcomes.
You'll also develop strong communication and teamwork skills, working collaboratively with teams across the world to bring research to life in our products and services.
Resume Tip
When applying for this role, be sure to highlight your relevant coursework, projects, and experiences in statistics, machine learning, and data analysis. Use specific examples to demonstrate your skills and knowledge, and be sure to tailor your resume to the specific requirements of the internship.
Also, be sure to include any relevant certifications or training programs you've completed, such as Coursera or edX courses in machine learning or data science.
Finally, don't forget to include any relevant extracurricular activities or volunteer work that demonstrates your passion for data analysis and machine learning.
Skills Required
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