Data Scientist / Data Engineer

At Jacobs, in our Data Analytics, AI & Insights group, we utilize advanced data technologies to support projects across global markets, driving innovation and delivering comprehensive solutions for diverse industries. We seek a Data Scientist or Engineer who is passionate about leveraging data and analytics to solve complex challenges and deliver impactful insights.

Responsibilities:
* Develop and manage scalable data models and analytics to support global market projects, ensuring data quality and consistency across all stages of development.
* Build and maintain robust data pipelines and infrastructure, streamlining data processing and analytics workflows.
* Collaborate with internal and external stakeholders to drive the adoption of data analytics tools and methodologies across a wide range of projects globally.
* Design intuitive visualizations and create detailed reports using data visualization tools to effectively communicate insights to diverse stakeholders.
* Apply advanced analytics and machine learning techniques to extract insights from complex datasets, supporting data-driven decision-making.
* Minimum 5 years of experience in Data Science, Data Engineering, or a closely related field, with a focus on data analytics and modeling in a production environment.
* Strong programming skills in Python, R, and JavaScript, with experience in Ruby and R-Shiny as a plus.
* Proficient in SQL Server with at least 3 years of hands-on experience; familiarity with SSMS, Azure DevOps, and MySQL.
* Skilled in machine learning libraries (Scikit-learn, TensorFlow API) and data visualization tools (Power BI, Tableau, R-Shiny).
* Degree in Data Science, Engineering, or a related field.
* Additional programming skills in C++, Java, SQL, and Swift; experience with Angular and REST APIs.
* Proven experience in managing or contributing to data analytics projects, with a focus on driving impactful business outcomes.
* Familiarity with cloud-based data and AI stacks, such as AWS (Redshift, Athena), Azure (MS Fabric, Power BI), Databricks, and Palantir Foundry.