Microsoft

Senior Data Scientist

Microsoft$114K — $203K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate/ Master's/ Bachelor's in Data Science or related field with relevant data science experience; or equivalent experience.
  • 5+ years building ML models and writing production-level code in Python.
  • Experience with SQL, Databricks, AzureML, and Azure Cloud (preferred).
  • Excellent quantitative and statistical modeling skills, including machine learning algorithms.
  • Strong written and oral communication skills, capable of simplifying complexities for diverse audiences.

Responsibilities

  • Provide technology vision and drive its implementation as a self-starter.
  • Collaborate with engineers and analysts to create end-to-end systems.
  • Develop and implement machine learning models using various algorithms.
  • Leverage AI technologies to enhance data science practices and analysis efficiency.
  • Apply quantitative analysis and data mining expertise to inform decision-making.
  • Foster relationships with product and business leaders to identify opportunities.
  • Work closely with Data Science and Engineering teams to deliver data-driven solutions.
  • Mentor team members to enhance skills and collaboration.

Benefits

  • Opportunity to work with cutting-edge Machine Learning and AI technologies.
  • Collaborative environment with cross-functional teams at Microsoft.
  • Focus on professional growth through mentoring and leadership opportunities.
Full Job Description
Responsibilities
  • Be a self-starter with a demonstrated track record of providing technology vision and driving them through.
  • Collaborate with partner teams (engineers and analysts) to deliver end-to-end systems and experiences.
  • Develop Machine Learning models and solutions using classical algorithms as well as foundation models.
  • Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
  • Apply your knowledge in quantitative analysis, data mining, and the presentation of data to inform decision-making.
  • Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities.
  • Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.
  • Mentor other team members.


Qualifications

Required/minimum qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 Bachelor'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 equivalent experience.
  • 5+ years experience building machine learning models and writing production level code in Python.


Other Requirements
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Additional Preferred Qualifications
  • Fluent in tools for navigating and analyzing data (SQL, Python, Databricks, Synapse, AzureML, Fabric, etc.); experience with Azure Cloud.
  • Excellent quantitative, data modeling, and statistical skills. Examples include causal inference, resampling techniques, mixed effects models, significance tests, etc, with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, etc.
  • Excellent written and oral communication skills, particularly the ability to synthesize complex problems/scenarios into easy-to-understand concepts.
  • Creative, innovative, and organized thinker with high attention to detail and self-driven to continuously learn and bring a growth mindset to problem-solving with effective time management in complex, ambiguous, deadline-driven environments.
  • 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

#CES #CXA

Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400.00 - CAD $203,900.00 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Data Science IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400.00 $ CAD à 203,900.00 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Data Science IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Data Science IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu'à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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