This Job Vacancy has Expired!

Senior Data & Applied Scientist

Posted on May 5, 2020 by Microsoft

Austin, TX 78759
Immediate Start
Annual Salary
Do you have a passion for Data and Machine
Learning? Do you dream of working with customers on their most
forward-looking AI initiatives? Does the challenge of developing
modern machine learning solutions to solve real-world business
problems in the cloud sound exciting to you? You may be the Senior
Data & Applied Scientist we have been looking for!
The Commercial Software Engineering
(CSE) team is a global engineering organization that
works directly with customers looking to leverage the latest
technologies to address their toughest challenges and transform their industries using cloud-based
solutions. We work in collaboration with Microsoft product
teams, partners and open source communities-to empower our
customers to do more with the cloud. We pride ourselves
on making contributions to open source and make our platforms
easier to adopt.

You will be delivering high-impact engineering
projects using both open-source and Microsoft technologies, in a
community model within our team, and partnering with other
engineering and product teams at Microsoft to align the work with
our customers' project goals. You will be working side by
side with customers and their developers to
build innovative solutions to solve exciting business problems
and collaborating with the Microsoft product teams to improve
our products, ultimately to make it easier for developers
to use Microsoft platforms.


Developing and deploying solutions with some
of Microsoft's largest customers for solving business problems
using machine (deep) learning and predictive modeling
End-to-end execution of the data science
process: from understanding business requirements, data discovery
and extraction, model development and evaluation, to production
pipeline implementation.
Providing technical subject matter expertise
in OSS and Microsoft AI and Data technologies, ranging from helping
our product teams understand our gaps, through to navigating our
customers to the right technology choices for their

Required Qualifications:

2+ years of real-world experience with machine
learning algorithms for classification, regression, clustering,
reinforcement learning, dimensionality reduction with expertise one
or more application domains of NLP, image processing, time series
analysis including some knowledge of the concepts of taking
projects to scale in the cloud.
Fluency in English

Preferred Qualifications:

Skilled in Python, experience with Pandas,
Experience with agile development practices
and Git version control.
Experience with one or more of the DNN
frameworks like TensorFlow, PyTorch, Chainer.
Experience with Spark, SQL, Graph stores, or
NoSQL stores.
Domain expertise in one or more of financial
services, retail, marketing, health care,
Ability to communicate in business and
technical settings.
Enjoy travel and comfortable with regional
travel up to 20%
MS or PhD in Computer Science, EE, Statistics,
Operations Research or equivalent technical field.

At Microsoft we are seeking people who have a
passion for the positive impact technology can have on the
communities and for making a difference in the world. Within CSE,
we have an informal and flexible work environment and you'll be
welcome to work from home, our offices, customer sites- wherever is
best for you to get your job done. We invest in your health,
wellness and financial future by offering a competitive package
including a wide range of benefits built around your personal needs
and those close to you.

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

Reference: 886655590

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