below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$158,298–$214,500
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
634 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 612 roles with salary data.
The Principal Data Scientist joins the Growth and Analytics team to enhance the MSN personalized content feed. In this role, you will act as a thought partner to stakeholders, analyzing large datasets to identify patterns and improve the relevance of recommendation systems. Daily responsibilities include building metrics systems to monitor business health, conducting business modeling for growth opportunities, and designing A/B tests to evaluate algorithm performance. You will develop self-service dashboards and communicate actionable insights to both technical and non-technical audiences. The position requires expertise in big data processing using PySpark and Scala, along with experience in product, web, and content analytics. You will solve complex problems regarding content ecosystem performance, ads, and online shopping metrics to drive engagement improvements.
What does a Data Scientist earn?
Median $173200 from 342 postings across 62 companies.
Analyze large datasets to identify patterns and trends to improve recommendation system relevance and quality.
Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements.
Build a metrics system to measure Business Health and identify root causes for metric fluctuations.
Conduct business modeling to identify growth opportunities and initiate projects with positive long-term ROI.
Develop self-service dashboards and reports for stakeholders using various reporting platforms.
Evaluate performance metrics and user feedback to enhance product features and engagement.
Communicate findings and data-driven recommendations to both technical and non-technical stakeholders.
What we're looking for
Hold a Doctorate in a relevant field with 3+ years of data science experience, or a Master's with 5+ years, or a Bachelor's with 7+ years.
Hold a Doctorate in a relevant field with 5+ years of data science experience, or a Master's with 8+ years, or a Bachelor's with 12+ years (preferred).
Possess equivalent experience to the required educational and experience milestones.
Have 7+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy (preferred).
Have previous experience in product analytics, web analytics, and/or content analytics (preferred).
Possess interpersonal communication skills and the ability to leverage data to tell a story (preferred).
Demonstrate stakeholder management ability including effective prioritization and delivery of actionable data-driven insights (preferred).
Have knowledge of big data processing from raw events to metrics and insights using PySpark/Scala (preferred).
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