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.
Responsibilities
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.
Required Qualifications
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 (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). 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. 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. Ability to work cross-group and across disciplines effectively. Excellent skills in designing, debugging and problem solving. Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page