Applied Sciences Information Technology (IT) - Redmond, WA at Geebo

Applied Sciences

Are you interested in a start-up like environment, passionate about Cloud Computing technology and driving growth in one of Microsoft s core businesses? Do you aspire to be part of a team relentlessly focused on customer needs, market expansion and advancing Microsoft Cloud s first strategy? If yes, look no further than the CO+I Team.
We offer engaging and motivating work where you ll be empowered to make an impact.
The Applied Sciences candidate will have the independence and hybrid working flexibility you need.
An astute and diverse work culture is at the core of our team and broader group.
We are an international team, passionate about life-long learning, that believe in data-based decision making to identify and solve problems.
We take a holistic approach to problem solving and are believers of collaborations to harness our diverse experience, and capabilities to deliver impact.
Customers and analysts recognize Azure s tremendous momentum which continues month over month.
To help customers achieve their goals, Azure continues to build the largest global footprint of any Cloud provider.
The CO+I IPA Long-Range Planning Data Science team delivers Microsoft s Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence.
We are hiring a Data Scientist to focus on creating cutting edge econometric/ ML demand and capacity need models with focus on MSFT AI offerings.
This position will focus specifically on the GPU forecasting to support the AI needs for Microsoft and OpenAI.
Additionally, they will have to be able to leverage their software engineering skills to connect to various upstream and downstream systems ensuring the forecasting plan matches the execution.
Microsoft s mission is to empower every person and every organization on the planet to achieve more.
As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Required/Minimum QualificationsBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2
years related experience (e.
g.
, statistics, predictive analytics, research)o OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1
year(s) related experience (e.
g.
, statistics, predictive analytics, research)o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldo OR equivalent experience.
Other Qualifications Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications2
years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonExperience in using statistical packages and standard libraries in R (dplyr, ggplot etc.
), Python (NumPy, Pandas, etc.
) or equivalent.
Experience in SQL and NO-SQL databasesPoses extensive fundamentals in statistics and eagerness to learn advanced statistical techniques and machine learningApplied Sciences IC3 - The typical base pay range for this role across the U.
S.
is USD $94,300 - $182,600 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year.
Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
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.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#IPACareers#COICareersBuild and maintain ADO pipelines, maintain Azure Assets (subscription, blob storage, sql database, key vault, etc.
) in a secure and compliant mannerConnect to and build APIs for turning data science models into a full production systemApply their expertise in quantitative analysis, data mining, and the presentation of data to develop demand forecasting modelsUnderstand fundamental business dynamics impacting demand, and develop automated analytical solutions for demand planningAbility to develop E2E models in R/ Python including data manipulation, model building and business applicationsOtherEmbody our Culture and ValuesEmployment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineApplied SciencesProfessionResearch, Applied, & Data Sciences.
Estimated Salary: $20 to $28 per hour based on qualifications.

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