Data & Applied Sciences: Intern Opportunities for PhD Graduates

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connection, executive engagement, and memorable events.

We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day.

Responsibilities

As a Data or Applied Scientist intern, 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 a PhD in Computer Science, Mathematics, Economics, Statistics, Applied Sciences like Biostatistics, Physics, Chemistry, Computational Neurology and or other quant-focused field with at least one semester/quarter remaining after internship.
• 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.