Design and implement scalable data infrastructure and pipelines using Spark and Scala within AWS. Collaborate with cross-functional teams to develop data solutions, knowledge graphs, and APIs to support business growth.
tvScientific
14 Remote Job Openings at tvScientific
Own and drive quality for the web platform by designing and executing manual and automated tests for UI, APIs, and backend services. Collaborate with cross-functional teams to integrate tests into CI/CD pipelines and advocate for shift-left testing practices.
Lead a portfolio of gaming clients to drive revenue growth through strategic account planning and programmatic CTV campaign optimization. Act as a strategic consultant to game publishers to maximize player acquisition and retention using data-driven insights.
You will lead and manage a portfolio of key client accounts to drive revenue growth, retention, and expansion through strategic planning and campaign optimization. You will also collaborate with internal teams and leverage AI tools to analyze performance metrics and provide actionable insights to clients.
Design and implement backend systems for contract lifecycle management and billing models. Collaborate with product, finance, and data teams to ensure system accuracy, auditability, and scalability.
You will scale the decision-making processes for the AI team, including workflows, training infrastructure, and Kubernetes deployments. Additionally, you will improve developer experience for data science teams and enhance observability tooling.
You will design and implement backend systems for contract lifecycle management and billing models to support direct advertisers and finance teams. Additionally, you will lead technical design discussions and ensure system reliability, auditability, and performance as the platform scales.
Design and build simulation environments to model the CTV advertising ecosystem, including auction dynamics and bidding strategies. Develop AI-driven tools and agents to automate experimentation, validate ML model deployments, and accelerate the testing of bidding strategies.
The Staff Data Engineer will lead the design and implementation of identity resolution platforms and data governance frameworks. This role involves building scalable data pipelines, ensuring privacy compliance, and collaborating with cross-functional teams to maintain high-quality data infrastructure.
Serve as the primary technical expert during the sales cycle to design, explain, and validate client integrations. Collaborate with Sales, Product, and Engineering teams to troubleshoot implementation issues and ensure long-term client success.
The Senior Data Engineer will implement robust data infrastructure primarily in AWS utilizing Spark with Scala, focusing on evolving core data pipelines to handle massive growth efficiently. This role involves designing fault-tolerant batch and streaming pipelines and collaborating with cross-functional teams to define and implement the strategic vision for data engineering.
The role involves scaling the decision-making processes for the AI team, covering workflows, training infrastructure, and Kubernetes deployments, while also improving the developer experience for the data science team. The engineer will serve as a technical lead, mentor the team, and ensure smooth infrastructure evolution during deployments.
The role involves turning data into actionable insights, driving business decisions, and owning analytics projects from start to finish, including developing customized reporting and analytics tools for clients. Day-to-day tasks include writing production code in Python, designing and analyzing experiments to optimize ad campaigns, and translating insights into the Data Science Product.
The engineer will design and build simulation environments to model CTV auction mechanics, inventory supply, and advertiser competition, while also developing AI-driven tools to accelerate ML workflows using LLMs and generative AI. Key tasks include building counterfactual frameworks for offline evaluation and defining the technical direction for simulation and AI infrastructure.
