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As a Data Scientist at Coda, you will analyze complex datasets using statistical modeling and machine learning to produce insights that enhance business performance. You'll collaborate with engineers to maintain data pipelines, implement feature engineering strategies, and create dashboards to visualize key metrics. Your work will involve predicting consumer behaviors and conducting A/B testing.

Responsible for leading a team of engineers, overseeing the development of scalable systems, and driving technology roadmaps. The role involves close collaboration with product teams, coaching for continuous improvement, and recruiting new talent.

Lead a team of software engineers, drive technology forward, work closely with Product team, execute product and technical goals, coach team members, collaborate with recruiting team.

Seeking a proactive, driven Senior/Staff Software Engineer with deep knowledge in software development and automation. Responsible for architecture, development, and evolution of key products and features at Coda. Join a top talent team focused on innovation and pushing technology to new levels.

Design and develop highly scalable software systems, collaborate with team members, optimize products for stability and user experience, and participate in on-call rotations. Requires 5+ years of software development experience and a bachelor's degree in a related field. Strong knowledge of programming languages like Java, Scala, Kotlin, and Python is essential. Bonus points for experience in building high scale APIs and knowledge of AWS.

Seeking a proactive Senior/Staff Software Engineer to contribute deep knowledge in software development and automation. Responsible for architecture, development, and evolution of key products and features at CodaPay, a preferred digital content payment service provider. Collaborate with teams to design highly scalable, reliable, and secure systems using modern technologies like AWS and Quarkus framework.

Design and develop highly scalable, reliable, secure, and fault-tolerant systems using state-of-the-art technology. Collaborate with teams to implement complex features and optimize products for improved user experience. Take operational responsibility for services and participate in on-call rotations.