Mid-Level Data Scientist

Jacobs is seeking a Mid-Level Data Scientist for the Advisory Solutions Group within the Asset Management Digital Strategies Practice supporting Federal clients.

• Develop and implement machine learning models and AI algorithms to address complex business and technical problems
• Design and optimize database architectures to support AI applications
• Build and maintain semantic search solutions to improve data retrieval and user experience
• Train and fine-tune machine learning models to support performance and accuracy targets
• Create and maintain interactive decision-support systems aligned to client needs
• Partner with internal teams and clients to deliver strategic AI-driven insights and solutions
• Monitor AI and data science advancements and apply updates to continuously improve delivery practices

• Minimum 3 years of experience in AI, data science, or a related field, including academic projects or internships focused 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 Type Script
• Strong understanding of SQL and relational databases
• Experience integrating external AI models including OpenAI, Mixtral, LLaMA
  , and platforms such as Azure Machine Learning, Amazon Sage Maker, or Vertex AI
• Background in deployment
  , MLOps
  , testing
  , and model monitoring
• Knowledge of semantic search implementation for improved data retrieval and user experience
• Demonstrated ability to learn and apply new technical skills in a fast-paced environment
• Strong problem-solving skills and a team-oriented mindset
• Ability to travel up to 20% of the time (CONUS and OCONUS) and obtain a U.S. Government Common Access Card
• Ability to obtain and maintain a U.S. Government security clearance
• U.S. Citizenship required for government-facing work;
  visa sponsorship is not available

• Python, R, JavaScript, Type Script
• SQL
• OpenAI, Mixtral, LLaMA
• Azure Machine Learning, Amazon Sage Maker, Vertex AI
• MLOps
• Semantic search

• Medical, dental, vision, and basic life insurance
• 401(k) plan
• Ability to purchase company stock at a discount
• Eligible employees may enroll in a deferred compensation plan or the Executive Deferral Plan
• Unlimited U.S. Personalized Paid Time Off (PPTO) policy for full-time salaried/exempt employees
• Seven paid holidays
• Caregiver leave
• Eligible roles may qualify for additional rewards including merit increases, performance discretionary bonus, and stock

• Fort Worth, TX, United States (Hybrid)

• USD 85, per year

Job : #45947