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About the Role

The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations. We build and manage data platforms, develop ML models, and provide analytics resources. We are looking for a Senior Data Scientist with deep experience in developing data-driven solutions and expertise in ML and AI technologies to solve complex problems alongside strategic customers and various internal teams.

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 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.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience OR equivalent experience.
5+ years experience building machine learning models and writing production level code in Python.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.
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.

Skills

Machine Learning
AI
LLMs
Data Science
Quantitative Analysis
Data Mining
Python
SQL
Databricks
Synapse
AzureML
Fabric
Azure Cloud
Causal Inference
Resampling Techniques
Mixed Effects Models
Significance Tests
Forecasting
Clustering
Classification
Recommendation Systems
NLP

Location

Canada

Work Type

Full-time

Experience Level

Senior
IC4

Education Level

Doctorate
Master's Degree
Bachelor's Degree

Salary/Compensations

CAD $114,400.00 - CAD $203,900.00 per year

About the Company

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture.
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.

Equal Opportunity

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.