You will engage with stakeholders to translate business problems into technical solutions, design and test personalization solutions, create forecasting models using time series and machine learning, and solve complex optimization problems. You will stay updated on the latest research in personalization techniques and work closely with product managers, MLOps engineers, and software developers to deploy end-to-end solutions.
We are looking for a motivated junior-level data professional (Engineer, Analyst, or Scientist) to join our nearshore Devoteam team on a project with strong focus on SQL and Google Cloud Platform (GCP). This is a remote position, but candidates must be based in Portugal, as you’ll be integrated into one of our Devoteam teams operating from the country.
You will lead a team of analysts and data scientists partnering with Measurement Strategy and Product Science leaders to scale the delivery and interpretation of experiment results and insights from our cutting-edge science platform. Your team’s work will be critical to meeting growing customer demand with clarity, speed, and reliability. As a trusted leader, you will ensure customers understand and gain value from our scientific outputs, driving confidence and long-term adoption.
Support the team’s efforts in building both statistical and predictive models that help us identify trends and better operate our business. Design, develop, and deploy predictive models to enhance decision-making and improve healthcare outcomes. Conduct in-depth statistical analyses to derive actionable insights from complex datasets.
Looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies, including generative AI and large language models. Primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. Responsible for designing, building, and scaling data pipelines across a variety of source systems.
As ML Lead, you’ll drive the strategy, architecture, and execution of our ML initiatives - from recommendation systems to predictive analytics. You’ll have a chance to lead a small ML team (starting with hands-on work), define best practices, and build systems that directly impact the product and business outcomes.
The Data Analyst will join the team responsible for managing and interpreting data to provide actionable insights to operations and product teams. The Data Analyst is responsible for developing, implementing, and maintaining analytic systems, conducting data analysis to derive business insights, and designing scalable data models and pipelines. This role also involves collaborating closely with stakeholders to prioritize business and information needs, and presenting data-driven recommendations.
This role sits at the intersection of quantitative finance, machine learning, and natural-language understanding, leveraging NLU techniques to mine news and social media for trading signals, building predictive models, and rigorously backtesting your strategies to drive data-driven investment decisions.
As an ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems. You’ll work on impactful product features, collaborate with engineers and analysts, and have the freedom to experiment and learn. You will Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.
Manage and oversee complex studies, build strong relationships with diverse teams, and demonstrate your ability to make sound decisions and solve problems effectively. You will be responsible for the execution of customized projects and ensuring support for offshore teams and analysts, implementing and developing new tools and initiatives driven by commercial teams and showcase your decision-making skills.