Senior Data Scientist

Microsoft•Vancouver, BC

4d•CA$114,400 - CA$203,900

About The Position

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. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. 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 across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance. We are looking for a goal driven Senior Data Scientist with deep experience in developing data driven solutions and expertise in conventional and state of the art Machine Learning (ML) and AI technologies. You will be working side-by-side with high-impact data scientists and strategic customers to solve complex problems. You will work with several teams including engineering crews, product teams, and program management to deploy business solutions. 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.

Requirements

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

Nice To Haves

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.

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.