Gurugram, India
Information Technology
Full-Time
Uber
Overview
About the Role
Are you passionate about data software engineering that addresses complex batch and streaming data, analytics, and ML/AI challenges? Uber's Workforce Experience Engineering (WEE) team is building the next-generation, AI-powered data and analytics platform to drive data informed business decisions.
What the Candidate Will Need / Bonus Points - What the Candidate Will Do -
Establish quantitative measurements, experiments, and machine learning practice, automation and testing frameworks for key initiatives in BizTech, including:
Are you passionate about data software engineering that addresses complex batch and streaming data, analytics, and ML/AI challenges? Uber's Workforce Experience Engineering (WEE) team is building the next-generation, AI-powered data and analytics platform to drive data informed business decisions.
What the Candidate Will Need / Bonus Points - What the Candidate Will Do -
Establish quantitative measurements, experiments, and machine learning practice, automation and testing frameworks for key initiatives in BizTech, including:
- Sales Copilot
- Envision
- Chat with your Data
- Virtual Assistant
- One Data Platform: One Ingestion, One Modeling, Datahub
- AI/Gen Testing
- Data Quality Copilot
- 3 years of relevant work experience. Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics, Engineering, or a related quantitative field.
- 3+ years of coding and software development experience, with proficiency in Golang, Java, C++, Python, or related languages.
- 3+ years of experience developing data services and data pipelines for business applications, with extensive hands-on experience in designing, building, evaluating, deploying, and monitoring data products end to end.
- Experience with databases, data warehousing, and ETL systems, including tools like Hadoop, Hive, Spark, Flink, BigQuery, Databricks, Snowflake, Fivetran, DBT, Airflow and cloud data infrastructure services (AWS, GCP, Azure).
- Understanding of relevant statistical measures, such as confidence intervals, significance of error measurements, and the development and evaluation of datasets.
- Proven track record of analyzing data to uncover hidden patterns and conducting error/deviation analysis.
- Excellent written and verbal communication skills, with the ability to collaborate effectively in a distributed, cross-functional team environment.
- Ability to develop experimental and analytic plans for data modeling processes, establishing strong baselines, and accurately determining cause-and-effect relationships.
- Experience in building machine translation and natural language processing systems.
- Extensive experience with A/B testing setup and analysis.
- Experience with Reinforcement Learning in practical use cases.
- Experience in designing and implementing highly scalable, robust, and fault-tolerant services.
- Experience working with large-scale distributed systems and databases, particularly with very large datasets.
- Highly motivated to achieve results in a dynamic environment.
- Exceptional organizational skills and strong attention to detail.
- Comfort and effectiveness in a fast-paced, highly collaborative, and dynamic work environment.
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