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We are seeking a highly skilled and experienced Principal Applied Scientist to join our Metrics & evaluation team in Microsoft AI org. This individual will play a pivotal role in defining the direction of our search engine for the upcoming years. The ideal candidate will have a strong expertise in statistics and a proven track record of leveraging data to drive business decisions.
Job Responsibility:
Lead the development and implementation of advanced statistical models and algorithms to analyse complex data sets
Collaborate with cross-functional teams to define key metrics and KPIs that align with our product goals
Provide strategic insights and recommendations based on data analysis to influence product direction and business strategies
Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
4+ years of extensive experience in statistical analysis, machine learning, and data mining
Strong problem-solving skills and the ability to think critically and analytically
Proficiency in programming languages such as Python, R, or SQL
Excellent communication and presentation skills, with the ability to convey complex concepts to the stakeholders and manage expectations with them
Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously
Ability to work cross-group and across disciplines effectively
Excellent skills in designing, debugging and problem solving
Nice to have:
Experience in defining metrics to measure the success of a large-scale product/service and define OKR metrics for large orgs is a plus
Experience in working with Cloud architecture such as Azure is a plus
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience