Microsoft Principal Data Scientist 

India, Telangana, Hyderabad 

578553543

& evaluation. This individual will play a pivotal role in defining the direction of oursearch enginefor the upcoming years. The ideal candidate will have a strongin statistics and a proventrack record

Required Qualifications:

• Doctorate 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 Master'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 technology
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical technology
  • OR equivalent experience.
• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ years of extensive experience in statistical analysis, machine learning, and data mining.

Preferred Qualifications:

• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and presentation skills, with the ability to convey complex concepts tothestakeholdersand manage expectations with them.
• Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Experience in defining metrics to measure the success of a large-scale product/service anddefineOKR metrics for large orgs is a plus.
• Experience in working with Cloud architecture such as Azure is a plus.

• 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.
• Providestrategic 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.
• Stayup-to-datewith the latest advancements inAI,data science and statistical methodologies to ensure our teamremainsat the forefront of the industry
• Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.