We are looking for a talented and motivated Data Scientist to join our team in Brazil/Portugal and contribute to groundbreaking projects in the field of Generative AI! In this role, you will help shape the future of AI-powered wellness solutions by leveraging Generative AI, fine-tuning of LLMs, and evaluation of Agentic systems. Your work will directly contribute to advancing AI’s role in wellness, making it more adaptive, impactful, and transformative.
Looking for an experienced Data Engineer to provide data engineering expertise and support to various analytical products of LivePerson, and assist in migrating our existing data processing ecosystem from Hadoop (Spark, MapReduce, Java, and Scala) to Databricks on GCP. The goal is to leverage Databricks’ scalability, performance, and ease of use to enhance current workflows.
As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform which ingests billions of events per day and delivers rich attribution analytics and insights to top global brands. You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers.
Transform data into powerful stories that drive real-world results. Dig deep into complex datasets, uncover meaningful trends, and deliver strategic insights that directly shape business outcomes. As part of our dynamic Analytics Team, collaborate closely with clients to turn complex data into meaningful insights. Contribute to internal knowledge-sharing and support team growth through peer collaboration and training.
As a Senior Microsoft Fabric Data Engineer, you will be responsible for designing, implementing, and managing advanced data engineering solutions using Microsoft Fabric, working closely with an Implementation Partner to ensure seamless execution and optimization of data platforms for an End client. You will develop, implement, and manage data engineering solutions leveraging Microsoft Fabric and collaborate with TCS teams to ensure project objectives align with organizational needs.
We’re looking for an experienced, hands-on Data Scientist to embed into and support analytics within RevOps and Finance teams. You will ensure data quality & integrity, develop data models, build intuitive dashboards for revenue insights, support ad hoc analysis and strategic questions, and document processes & methodologies.
As a Technical Product Analyst you will analyze high level business requirements and translate them into technical specifications for our engineering team, collaborating with data, design, and engineering teams to drive consistent and scalable customer event and profile tracking. The analyst will monitor and analyze product experimentation to assess and quantify the impact of product and lifecycle marketing changes, reporting to the Director, Business Intelligence.
We’re looking for a passionate Senior Analytics Engineer to help us bring our data platform to the next level. This includes modelling our data for final consumption and leading the design of a new semantic layer. Collaborate with engineers, product teams and analysts to develop data products that are precise and insightful. Find creative ways to integrate AI into the Data lifecycle. Own the data product lifecycle, including designing tracking plans, developing data models, ELT pipelines, and self-serve data products. Be the data steward, ensuring data quality and consistent metrics.
Work on end-to-end data projects with the Ad Network squads to improve performance and drive targeting and revenue improvements. You'll gather needs from stakeholders, share progress and provide actionable recommendations. Build data collection and transformation pipelines, and actionable dashboards. Analyze large, complex data sets with billions of events.
Lead a team of data professionals dedicated to supporting Revenue, Marketing, and Finance teams. You will oversee the business intelligence system, data analysis, and data strategy, playing a critical role in driving data-informed decision-making and fostering a culture of analytics excellence. Balance strategic vision with operational execution to empower stakeholders across the organization to achieve their goals through actionable insights!