Mid-Level Data Scientist – Remote

Jacobs is actively seeking a skilled Mid-Level Data Scientist to join our Advisory Solutions Group, specifically within the Data Analytics Practice focusing on Federal clients. This role is integral to a specialized team that delivers advanced AI-driven analytical solutions to a diverse array of Federal organizations, aiming to enhance operational efficiency and management effectiveness. The Mid-Level Data Scientist will engage in various activities, including developing machine learning models, designing AI algorithms, creating semantic search solutions, training models, and generating insightful visualizations and reports.

Key Responsibilities:

Develop and implement machine learning models and AI algorithms to solve complex problems.

Design and optimize database architectures to support AI applications.

Create and maintain semantic search solutions to improve data retrieval and user experience.

Train and fine-tune machine learning models to ensure high performance and accuracy.

Create and maintain interactive decision-support systems tailored to client needs.

Collaborate with internal teams and clients to provide strategic AI-driven insights and solutions.

Stay updated with the latest advancements in AI and data science to continuously improve our practices.

At Jacobs, we are partnering across the globe to create the best project outcomes by maximizing the design, digital technology, and support capabilities of our Global Integrated Delivery (GID) teammates. By joining Jacobs, you will commit to supporting and engaging with these teams, as we work to build a company like no other.

Must be a United States Citizen, as this role involves government-facing work. Visa sponsorship is not available.

At least 3 years of experience in AI, data science, or a related field, including academic projects or internships specifically focusing on AI and data analytics.

Bachelor’s or Master’s degree in a quantitative discipline, such as Computer Science, Data Science, Data Engineering, Artificial Intelligence, Applied Mathematics, or a closely related field.

Proficiency with Python, R, JavaScript, or TypeScript.

Strong understanding of SQL and relational databases.

Experience integrating external AI models, such as those from OpenAI, Mixtral, LLaMA, and other platforms like Azure Machine Learning, Amazon SageMaker, or Vertex AI.

Knowledge of semantic search implementation for enhanced data retrieval and user experience.

Demonstrated ability to learn and apply new technical skills in a fast-paced environment.

Strong problem-solving capabilities and a team-oriented mindset.

Ability to travel up to 20% of the time CONUS and OCONUS, with the ability to obtain a U.S. Government Common Access Card.

Ideally, youll also have:

Hands-on experience with Palantir Foundry, including model deployment, data integration, or workflow automation.

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.