Senior Data Scientist

Microsoft; Vancouver; On-site; CAD 114,000 - 204,000; Full time

Job summary

A leading technology company is seeking a Data Scientist with a strong background in Data Science, capable of driving insights through metrics and analysis. The role involves defining metrics for various products, designing experiments, and collaborating across teams to influence product improvements. Candidates must have relevant degrees and a solid foundation in programming, statistics, and machine learning, combined with effective communication skills.

Qualifications

• Required: Doctorate with 1+ years experience or equivalent experience in Data Science.
• 3+ years with programming in Python, R, SQL, C#.
• Proficient communication skills for engaging with senior leaders.

Responsibilities

• Define and deliver metrics for success across products.
• Partner with business areas for actionable insights.
• Iterate on product analysis and continually improve.

Skills

Python

R

SQL

C#

Statistics

Machine Learning

A/B Testing

Time Series Analysis

Education

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or related field

Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or related field

Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or related field

Job description

Responsibilities (Text Only)

- Measurement: Define, invent, and deliver metrics which accurately measure success across various products and marketplace components. - Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions. - Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve. - Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business - Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.

Qualifications (Text Only)

Required 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 techn - 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 tec - OR equivalent experience. - 3+ years of hands-on experience in the following programming languages like Python/R, SQL, C#. Preferred Qualifications: - Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, - OR related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR equivalent experience. - Demonstrated experience in applying statistics and ML models to generate clear actionable insights. - Experience in A/B testing, metrics and/or time series analysis. - Demonstrating proficient communication skills to effectively convey insights to senior leaders. - Mindset that promotes learning over knowing to solve complex business problems. 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 Microsoft will accept applications for the role until June 23, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #MicrosoftAI