Senior Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Exploratory Data Analysis, Modeling, Statistical Techniques, Python, R, SQL, Spark, MLops, Cloud Stack, Econometrics, Machine Learning, Data Pipelining, Causal Inference, Cross-Functional Collaboration, Production-Grade ML Systems

Industry

Software Development

Description

Understand business needs and develop appropriate data analysis to meet those needs including pipelining, exploratory data analysis, modeling, inference, and experimentation. Together with your team, interpret and present analysis results to senior stakeholders. Coach more junior team members, promoting a culture of learning and evangelizing modern data science methods. Build a robust product that makes data, econometrics, and ML useful for deal teams in the field.Embody our culture and values. 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. 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. 1+ year of experience in preparing and executing analysis plans, evaluating various statistical methods (ML, causal inference, classical methods) and choosing the most appropriate approaches given business requirements. 1+ year of industry experience in python and R and data query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos. 1+ year of industry experience working with cross-functional teams, gathering requirements, and building requirements into analysis plans. 1+ year of experience with MLops, running Production-grade ML systems and experience with Sales processes. 1+ year of engineering experience in a modern cloud stack, including serverless methods and demonstrated experience leveraging your skills using AI.

Responsibilities

Understand business needs and develop appropriate data analysis to meet those needs. Together with your team, interpret and present analysis results to senior stakeholders.