Job Location: Thฤnesar
About the role
Automation is one of the most critical and high-ROI programs within Uberโs customer service organization! Our team works multi-functionally, with stakeholders across Product, Operations and the markets to drive efficiencies, help Uber scale its customer support operations optimally and improve the digital customer experiences in EMEA. We support our customers by automating the resolution of their issues, have them self-serve their needs and drive improvements in the automated support workflows.
The engineering role demands great technical coding skills, design thinking, a high bar for quality, bold innovation, and a mentality of starting with the needs of our customers. You will be using best of breed technologies (including chatbots, AI/machine learning, NLP) and innovative design thinking to accomplish this at a scale that has never been done before in the industry.
What You’ll Do
- Owning production scripts in Python and/or JavaScript
- Building/coding core automations for common customer support issues and deliver an end-to-end contact resolution with the outstanding user-experience
- Continuous improvement on existing automated flows performance and experience including deep diving / surfacing key struggles and insights, finding opportunities for policy automation, management of flows, rolling out improved products and features, adapting global solutions to the needs of the market
- Continuous refactoring of code base to make it more forward-thinking, scalable and modular
- Ensuring high test coverage with testing frameworks such as pytest, tox
- ML engineering tasks vis a vis crafting data pipelines and their deployment and scheduling
- ML supervised and unsupervised analysis
What You’ll Need
We are looking for an engineer with a strong technical profile. This role demands real passion for the customer, great coding skills in Python and Javascript, data analysis depth, principled thinking, well-honed product judgment, ambitious innovation, and a high design bar.
Hard skills
- +4 years experience in coding and data background
- Expert knowledge of programming in Python
- Familiarity with testing libraries and frameworks such as pytest, Tox
- Experience of coding in production environments
- Experience with git
- Sophisticated SQL experience
- Expertise in Data and visualization tools: Google Sheets, Tableau
- Javascript knowledge is a plus
- Knowledge of testing libraries and frameworks such as Jest, Vitest
- Lucidchart knowledge is a plus
Soft skills
- Proven technical curiosity and an ability to understand technical designs / flows / implementation, challenges and risks. Willingness to develop deep SME and technical knowledge into a domain
- Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
- Experienced working with Product, Tech and Data Science teams, including the skill to read/edit flows, PRDs, and translate business needs in technical requirements
- A “driver” personality – constantly pushing toward transparency and delivery while balancing the need for great teamwork
- High standards across the board – from your own contributions to the people you work with to the products you work on
- Grittiness: You don’t hesitate to take initiative and address something hands-on, you persevere when others give up
- Experienced in process design and optimization
Preferred Qualifications
- A computer science/data science undergraduate degree or other technical degree desirable
- Good understanding of automation technologies including automation tech stack and workflows a huge plus
- Experience with ML, NLP, AI, a significant plus
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