The ideal candidate will have a strong background in data analytics, online experimentation, inference, and quantitative methods. In addition, hands-on ability to push production code with sound engineering fundamentals would be nice to have.You will collaborate closely with a vibrant cross-functional team (ML engineers, data engineers, designers and product managers).
Apply quantitative, analytical methods to drive deep understanding of the enterprise systems and Moveworks products to shape the direction of product innovations.
Develop measurement methodologies and experimentation strategies to ensure effective data-driven decision making.
Innovate on distributed tracing technologies in guiding product iterations.
Develop statistical and machine learning solutions end-to-end through the full life cycle of proof-of-concept, evaluation, deployment and maintenance.
Collaborate with data and analytics engineers to build scalable data pipelines to support key business metrics.
Drive projects forward by forming close collaborations with cross-functional partners to reach the end deliverables, such as production-grade models or analyses that shape the technical vision.
You have advanced degrees in Math/Statistics, Engineering, Physics, Computer Science, Economics, or equivalent practical experience.
You have 5+ years of experience solving real-world problems using quantitative approaches and machine learning; conversational systems experience is a plus.
You are well-versed in experimental design, metric definition, and other advanced measurement techniques.
You have expertise in programming skills (e.g. Python or R), visualization, SQL, data modeling, ETL, and the data warehousing concepts.
You are comfortable proposing engineering enhancements/changes to drive deeper insights.
You are comfortable with ambiguity and able to thrive with minimal oversight and process.
You are an effective communicator; and you empathize with customers and stakeholders to build meaningful relationships.
You are curious and bring genuine excitement to learn new subject areas and are comfortable to be scrappy as and when needed.