Analytics Engineer, Dialpad

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Statistics or related fields
• 2 years of working experience with data science or data analytics project
• Excellent data analysis skills from writing and optimizing SQL queries to data visualization and report writing
• Strong foundation in statistics
• Familiarity with analyzing user behaviour data (e.g, Amplitude) would be a plus
• Familiarity with Python and public cloud environments such as GCP, AWS, etc
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems
• Excellent communication and collaboration skills to effectively work in a multi-disciplinary team
• Familiarity with version control tools like Git for collaborative projects

• Our Data Analysis team works alongside the Data Annotation team to support the Ai teams, working on projects on cutting-edge Automatic Speech Recognition(ASR), Natural Language Processing(NLP) and Computer Vision(CV)
• We take care of the complex business and product logic as well as making sure the data follows our security and privacy standards letting our applied scientists focus on model development
• We help NLP team to launch and enhance DialpadGPT, our in-house LM specifically designed for the domain of business communication
• We work closely with Product team to help them understand how user interact with our Ai product using data analysis
• We are a group of engineers who enjoy writing reports to tell the stories behind the data, which often spin up new data science ideas and help businesses make better decisions
• As an Analytics Engineer, you’ll be an integral part of our data analysis team, supporting ASR and NLP team for their data needs
• You’ll be involved in various stages of data science development, from data sampling and annotation, results evaluation to feedback analysis post product launch
• In addition, you’ll help bring insights to product development with user behavior data
• This position reports to the manager of the data analysis team and has the opportunity to be based in our Buenos Aires Office
• Translate complex data requirements into clear data sampling plans with efficient SQL queries
• Create and maintain dashboards and data pipelines that helps drive product and business decisions
• Contribute to our continuous efforts to enforce data privacy and compliance
• Answering daily questions from Ai team about data
• Collaborate with cross-functional teams, including Ai, engineering and product team
• Conduct in-depth data analysis that leads to new data science opportunities and business insights

• Company stock options
• Continued education stipend
• Cell phone, home internet, and gym membership stipend
• Work from home opportunities

Total funding: $450m

Dialpad offers an AI-driven cloud communications platform for business teams. It was founded to streamline communications across entire businesses with a fast set-up and hassle-free deployment.