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Data & Applied Sciences: Full Time Opportunities for University Graduates

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Microsoft

Sunnyvale, California, US

1 month ago
full-time
No degree mentioned

Job highlights

Qualification

Currently pursuing or completed a bachelor's or master's degree in computer science, engineering, or related field. Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. Some experience and or project course work with product and service telemetry systems. Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.). Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning strongly encouraged. Passion to learn from your peers, manager, and other stakeholders in the Data Science domain. Ability to interact with peers and stakeholders to drive product and business impact. Strong interpersonal and communications skills

Responsibility

As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results

Benefits

  • The salary for this role in the state of Colorado is between $92,900-$168,500
  • At Microsoft, certain roles are eligible for additional rewards, including annual bonus and stock
  • These awards are allocated based on individual performance
  • In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role
  • US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and fitness benefits, among others
  • Benefits and Perks
  • Industry leading healthcare
  • Savings and investments
  • Giving programs
  • Educational resources
  • Maternity and paternity leave
  • Opportunities to network and connect
  • Discounts on products and services
  • Generous time away
  • Dental Coverage
  • Health Insurance

Job Description

Description

Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today! Responsibilities As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. Qualifications • Currently pursuing or completed a bachelor's or master's degree in computer science, engineering, or related field. • Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. • Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. • Some experience and or project course work with product and service telemetry systems. • Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal. • Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning strongly encouraged. • Passion to learn from your peers, manager, and other stakeholders in the Data Science domain. • Ability to interact with peers and stakeholders to drive product and business impact. • Strong interpersonal and communications skills. The salary for this role in the state of Colorado is between $92,900-$168,500. At Microsoft, certain roles are eligible for additional rewards, including annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of your employment with Microsoft and the country where you work. US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and fitness benefits, among others. Benefits and Perks • Industry leading healthcare • Savings and investments • Giving programs • Educational resources • Maternity and paternity leave • Opportunities to network and connect • Discounts on products and services • Generous time away