Scientist Ii

5 days ago

Bengaluru Karnataka, India Uber Full time

Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.
Design experiments and interpret the results to draw detailed and impactful conclusions.
Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
Present findings to senior leadership to drive business decisions
- Basic Qualifications - Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions
Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
Hands-on experience building and deployment ML models
Ability to use a language like Python or R to work efficiently at scale with large data sets
Significant experience in setting up and evaluation of complex experiments
Experience with exploratory data analysis, statistical analysis and testing, and model development
Knowledge in modern machine learning techniques applicable to marketplace, platforms
**Proficiency in technologies in one or more of the following**: SQL, Spark, Hadoop
- Preferred Qualifications - Advanced SQL expertise
Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
Proven aptitude toward Data Storytelling and Root Cause Analysis using data
Advanced understanding of statistics, causal inference, and machine learning
Experience designing and analyzing large scale online experiments
Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
Ability to work in a self-guided manner
Ability to mentor, coach and develop junior team members
Superb communication and organisation skills

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