Jacobs Solutions-posted 8 months ago
$82,900 - $125,400/Yr
Full-time • Entry Level
Hybrid • Cincinnati, OH
Professional, Scientific, and Technical Services

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. When it comes to environmental consulting, we're focused on advancing our clients' environmental stewardship and sustainability initiatives. At Jacobs, we combine scientific expertise and cutting-edge data science to solve complex real-world challenges. We're seeking a Data Scientist Associate with a strong background in physical sciences (e.g., geology, chemistry, biology, physics) or engineering (e.g., environmental, civil) and demonstrated proficiency in R. This role is ideal for someone who thrives at the intersection of scientific knowledge and advanced data science techniques, with a passion for developing innovative, data-driven solutions.

  • Collaborate Across Disciplines: You'll work with subject matter experts in physical sciences and engineering to develop data-driven solutions for scientific and engineering challenges.
  • Develop Scalable Data Workflows: You'll build robust data pipelines, optimize workflows, and process complex datasets to uncover trends and actionable insights.
  • Leverage Advanced Analytical Techniques: You'll apply statistical, predictive modeling, and machine learning techniques to analyze large, structured and unstructured datasets.
  • Ensure High-Quality Data Solutions: You'll design reproducible, efficient workflows with proper documentation and version control practices.
  • Transform Data into Insights: We'll lean on you to deliver clear, impactful visualizations and reports that make complex scientific data accessible to stakeholders.
  • Facilitate Communication and Integration: You'll be key in bridging the gap between domain expertise and data science, ensuring solutions align with project goals and real-world applications.
  • Ph.D in Physical Sciences (e.g., Geology, Chemistry, Biology, Physics) or Engineering (e.g., Environmental, Civil) or a closely related scientific field.
  • Minimum 8 years of experience as a Data Scientist, Data Analyst, or a similar role solving scientific or engineering challenges OR 4 years of experience plus Ph.D required.
  • Strong proficiency in R, with proven experience applying it to data analysis, statistical modeling, or workflow development.
  • Demonstrated ability to analyze and process large, complex datasets to extract meaningful patterns and insights.
  • Experience developing and managing scalable data workflows and pipelines.
  • Strong problem-solving skills with a solid foundation in statistics, linear algebra, and scientific analysis methods.
  • Hands-on experience developing R-Shiny applications for data visualization and interactivity.
  • Experience with geospatial analysis, GIS, and geodatabases.
  • Familiarity with Docker for containerized application development and deployment.
  • Proficiency in version control tools such as GitHub or Azure DevOps.
  • Excellent communication and collaboration skills to work effectively with multidisciplinary teams.
  • Experience with Power BI, Tableau, or other business intelligence tools.
  • Knowledge of web development technologies, such as JavaScript, HTML5, or CSS.
  • Medical, dental, vision, and basic life insurance.
  • 401(k) plan and the ability to purchase company stock at a discount.
  • Unlimited U.S. Personalized Paid Time Off (PPTO) policy for full-time salaried/exempt employees.
  • Seven paid holidays, one floating holiday, and caregiver leave.
  • Potential for merit increases, performance discretionary bonus, and stock.
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