Senior Data Scientist

5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in Logistics, operations, product analytics is preferred.
Excellent command of SQL and experience working with Big Data
Experience coding in Python or R.
Hands-on experience with data visualization platform like Tableau, Looker, or similar
Statistics knowledge: A/B testing, statistical inference, interpretation of data
Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.
Excellent investigative skills with a passion for finding the root cause of an issue.
The ability to work independently and across multiple time zones
Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking
Academic background in math, physics, computer science, economics

Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau etc.
Develop necessary data pipelines to power automation, validation and reporting.
Use creativity to find proxies where verbatim data or measurement is unavailable
Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests
Stay updated with the latest trends and technologies in data science to drive innovation

Previous experience in Logistics, operations, product analytics is preferred.
Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
Self-driven, highly motivated, and independent minded individual who has a natural curiosity for understanding operations via data.