The intern will contribute to building scalable data solutions that support CALSTART's mission while gaining hands-on experience in cloud-based data engineering and data science. This project will focus on creating a data lake environment, developing automated data pipelines, and designing powerful visualizations to gain insights into clean vehicle adoption, infrastructure planning, and sustainability efforts.
Reporting to the Senior Manager of Development and Operations, you will be an expert in designing and developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process. You will collaborate with Engineering teams to discover and use data being introduced into the environment.
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.
Play a crucial role in driving the company metrics that empower the Inspiren team with the data-driven insights and recommendations needed to make informed decisions to optimize operations and facilitate performance improvement in a fast-paced, dynamic healthcare technology environment.
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.
AbbVie Clinical Data Strategy and Operations is a best-in-class team responsible for generating business value from clinical trials data through execution and innovation. This role ensures successful delivery of program- and study-level accountabilities, developing a deep understanding of clinical technology capabilities and data flow. Responsibilities include supporting technology delivery, tracking timelines, developing reports, collaborating with stakeholders, and maintaining technical knowledge of clinical data systems.