This role pays more than
63%
of similar roles. Most pay
$126,800–$198,225
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$163k
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
1589 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 1415 roles with salary data.
As a Senior Data Scientist on the Data Engineering team at COICareers, you will formulate business problems into actionable data science projects and explore centralized data to provide meaningful insights. Your day-to-day responsibilities include designing and implementing various types of models such as descriptive, predictive, forecasting, and causal inference, while also performing defect analysis and quantifying opportunities for improvement in IT operations return to capacity success. You will collaborate with cross-functional teams to identify machine learning opportunities, build visualizations for decision-makers at all levels, and mentor others in the field. Effective communication skills are essential as you work with both technical and non-technical stakeholders to ensure data-driven decisions. The role requires a Master’s degree plus 6 years of experience or a Bachelor's degree plus 8 years of experience in related fields, along with expertise in Python, SQL, R, and machine learning frameworks like TensorFlow or PyTorch.
Translate business problems into actionable data science projects.
Design and implement various types of statistical models including predictive analytics.
Identify IT operations improvement opportunities through defect analysis.
Build visualizations to deliver insights to decision-makers at all levels.
Mentor team members and foster a culture of continuous learning.
Stay updated with advancements in the data science industry.
What we're looking for
Master's degree in a relevant field and 6+ years of experience or Bachelor's degree and 8+ years of experience in data science, analytics, software development, data modeling, or data engineering.
Design and implement descriptive, predictive, forecasting, and causal inference models for business problems.
Perform defect analysis, quantify opportunities, and set targets to improve IT operations success.
Build visualizations that deliver insights to decision-makers at all organizational levels.
Communicate effectively with both technical and non-technical audiences and mentor others in data science practices.