Senior Data Scientist
Microsoft
Hyderabad, Telangana, India
5d ago

People spend upwards of 40% of their computing time on a browser. This translates to billions of minutes spent looking for information, reading articles or documents, watching videos, shopping and doing a lot of productive work on the browser.

Microsoft Edge, the new browser from Microsoft, has already reached over 400 million users worldwide. It’s often the first app customers launch and experience on Windows 10 and a place they visit frequently throughout their day to get things done, making it one of the most important products in the entire Microsoft ecosystem.

Browsing habits are hard to change. We must innovate and deliver differentiating experiences that delight our customers, help them be more organized and productive in their everyday lives and keep them coming back for more all of this with the functionality, performance, and security people have come to rely on and expect from their primary browser.

To drive this innovation forward, Microsoft Edge is going through a reboot to adopt open source software, ship regular and faster app updates independent of Windows, and meet users where they are already available on iOS and Android, and now more recently available on all versions of Windows and macOS.

We are looking for highly motivated and passionate data scientists to apply scientific methodology to data to drive Edge success.

We hire people with diverse multi-disciplinary backgrounds, engineering and analytical skills, business experience, relentless curiosity, and a motivation to improve product quality and business outcomes with data.

Top candidates have a clear record of using data to improve the world around them and demonstrate an aptitude for mentoring others.

Our work is highly varied and offers a chance to focus on many different data science techniques and aspects of the Edge business.

We are a team that takes pride in our work culture and is committed to building a team where everyone loves coming to work every single day.

Expect a fun, fast paced, data driven environment. This is one of the few teams where you will define and design experiences that are used by hundreds of millions of people.

Your family and friends will use your work.

Responsibilities

  • As an expert in data science, you will formulate approaches to solve challenging problems using well-defined algorithms and data sources in context of customer, engineering, and business needs.
  • You will use data exploration techniques to discover new questions or opportunities within your problem area. Successful candidates will also interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
  • Collaborate inside and outside the team, and across remote development locations. You will engage with peer stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements;
  • shaping the experience hundreds of millions of customers have with Edge. 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.

    Communicate complex topic to non-technical audiences and understand the implications of complex business, legal, and regulatory issues on technology and technical deliverables.

  • Have fun and learn new things
  • Qualifications

  • Degree in Computer Science, Statistics, Mathematics, Economics, or other quant-focused field
  • Solid Background or rich experience around Data Engineering, Data Science, Data Mining & Analytics and / or Statistics.
  • Solid experience and understanding in all the areas of the Machine Learning Model Life Cycle.

  • Proficiency using one or more programming or scripting language like Python, R, JS, Perl and knowing a programming language (ex : C#) is a major plus
  • Ability to effectively deal with ambiguity
  • Strong interpersonal and communications skills Experience with any of the following is a major plus
  • Experience with experiments, machine learning, deep learning, anomaly detection, predictive analysis, exploratory data analysis, and other areas of data science
  • Strong coding and development skills.
  • Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

    Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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