Data Scientist, Industry Solutions Engineering
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers engineers to jointly develop code for cloud-based solutions that can accelerate their organization.
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 in making contributions to open source and making our platforms easier to use.
Our 'Crews' develop solutions side-by-side with our customers through collaborative innovation to solve their challenges.
This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
In this role, you will be working with engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.
ISE is part of the Microsoft Industry Solutions organization and is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, and world-class architects, consultants, and delivery experts who work together to bring Microsoft s mission of empowerment and cutting-edge technology - to life for the world s most influential customers.
We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves.
Join us and help create life-changing innovations that impact billions around the world!We are hiring Data Scientists with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns.
As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems.
You will communicate trends and innovative solutions to stakeholders.
You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves.
Join us and help create life-changing innovations that impact billions around the world! At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world.
Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.
It s an informal and flexible work environment and you ll be welcome to work in the way that best enables 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.
Required / Minimum
Qualifications:
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5
year(s) data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.
5
years customer-facing, project-delivery experience, professional services, and/or consulting experience.
3
years of data science related experience including, but not limited to, any of the following:
training models for computer vision, recommendation systems, speech transcription models, speech synthesis models, tabular data or natural language processing; deploying models to production, monitoring model performance, performance metrics optimization, MLOps pipelines, solution design and architecture, cloud-based cognitive services, software engineering and writing code ready for production.
Preferred
Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Experience working as part of geographically dispersed, diverse, and virtual teamsEnjoy travel and are comfortable with travel up to 25%Demonstrated ability to work with customers and collaborate across company boundariesData Science IC4 - The typical base pay range for this role across the U.
S.
is USD $112,000 - $218,400 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 $145,800 - $238,600 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.
#ICEngineering#HubHiring2024#INDSOLBusiness Understanding and Impact Leads data-driven projects with business acumen and data science expertise.
Data Preparation and Understanding Manages data collection and preparation for projects.
Modeling and Statistical Analysis Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
Writes scripts in various languages and understands Microsoft AI and Machine Learning tools.
Designs experiments and operationalizes models at scale.
Coaches other engineers on best practices.
Evaluation Understands relationship between selected models and business objectives.
Ensures clear linkage between selected models and desired business objectives.
Defines and designs feedback and evaluation methods.
Coaches and mentors less experienced engineers as needed.
Presents results and findings to customer stakeholders.
Industry and Research Knowledge/Opportunity Identification Provides feedback, coaching, and support to engineering team and other teams based on business knowledge, technical expertise, and industry trends.
Coding and Debugging Demonstrates excellent coding and debugging skills across multiple features/solutions.
Business Management Drives business value by collaborating with stakeholders and improving solutions.
Customer/Partner OrientationProvides customer-oriented insights and solutions by understanding the business, product, data and customer perspective.
OtherDelivers customer-oriented solutions and builds trust with Microsoft products.
Using your understanding of data science and a project s problems, you ll uncover important factors that can influence outcomes of specific products.
You ll also produce a project plan and be able to explain the relation between data science and the customer s business strategy in non-technical terms.
You will acquire the data necessary for your project plan and develop usable data sets for modeling.
You ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
You will evaluate your team s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.
You ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
You will be performing extensive exploratory data analysis on large datasets to identify patterns, trends, and relationships.
This involves applying statistical techniques such as hypothesis testing and regression analysis, as well as performing data cleaning, preprocessing, and addressing missing data, outliers, and anomalies to ensure high data quality and reliability.
Employment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineData ScienceProfessionResearch, Applied, & Data Sciences.
Estimated Salary: $20 to $28 per hour based on qualifications.
We work closely with our customers engineers to jointly develop code for cloud-based solutions that can accelerate their organization.
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 in making contributions to open source and making our platforms easier to use.
Our 'Crews' develop solutions side-by-side with our customers through collaborative innovation to solve their challenges.
This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
In this role, you will be working with engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.
ISE is part of the Microsoft Industry Solutions organization and is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, and world-class architects, consultants, and delivery experts who work together to bring Microsoft s mission of empowerment and cutting-edge technology - to life for the world s most influential customers.
We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves.
Join us and help create life-changing innovations that impact billions around the world!We are hiring Data Scientists with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns.
As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems.
You will communicate trends and innovative solutions to stakeholders.
You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves.
Join us and help create life-changing innovations that impact billions around the world! At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world.
Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.
It s an informal and flexible work environment and you ll be welcome to work in the way that best enables 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.
Required / Minimum
Qualifications:
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5
year(s) data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.
5
years customer-facing, project-delivery experience, professional services, and/or consulting experience.
3
years of data science related experience including, but not limited to, any of the following:
training models for computer vision, recommendation systems, speech transcription models, speech synthesis models, tabular data or natural language processing; deploying models to production, monitoring model performance, performance metrics optimization, MLOps pipelines, solution design and architecture, cloud-based cognitive services, software engineering and writing code ready for production.
Preferred
Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3
years data-science experience (e.
g.
, managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Experience working as part of geographically dispersed, diverse, and virtual teamsEnjoy travel and are comfortable with travel up to 25%Demonstrated ability to work with customers and collaborate across company boundariesData Science IC4 - The typical base pay range for this role across the U.
S.
is USD $112,000 - $218,400 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 $145,800 - $238,600 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.
#ICEngineering#HubHiring2024#INDSOLBusiness Understanding and Impact Leads data-driven projects with business acumen and data science expertise.
Data Preparation and Understanding Manages data collection and preparation for projects.
Modeling and Statistical Analysis Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
Writes scripts in various languages and understands Microsoft AI and Machine Learning tools.
Designs experiments and operationalizes models at scale.
Coaches other engineers on best practices.
Evaluation Understands relationship between selected models and business objectives.
Ensures clear linkage between selected models and desired business objectives.
Defines and designs feedback and evaluation methods.
Coaches and mentors less experienced engineers as needed.
Presents results and findings to customer stakeholders.
Industry and Research Knowledge/Opportunity Identification Provides feedback, coaching, and support to engineering team and other teams based on business knowledge, technical expertise, and industry trends.
Coding and Debugging Demonstrates excellent coding and debugging skills across multiple features/solutions.
Business Management Drives business value by collaborating with stakeholders and improving solutions.
Customer/Partner OrientationProvides customer-oriented insights and solutions by understanding the business, product, data and customer perspective.
OtherDelivers customer-oriented solutions and builds trust with Microsoft products.
Using your understanding of data science and a project s problems, you ll uncover important factors that can influence outcomes of specific products.
You ll also produce a project plan and be able to explain the relation between data science and the customer s business strategy in non-technical terms.
You will acquire the data necessary for your project plan and develop usable data sets for modeling.
You ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
You will evaluate your team s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.
You ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
You will be performing extensive exploratory data analysis on large datasets to identify patterns, trends, and relationships.
This involves applying statistical techniques such as hypothesis testing and regression analysis, as well as performing data cleaning, preprocessing, and addressing missing data, outliers, and anomalies to ensure high data quality and reliability.
Employment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineData ScienceProfessionResearch, Applied, & Data Sciences.
Estimated Salary: $20 to $28 per hour based on qualifications.
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