Data Scientist / Data Engineer

$114,000 - $128,000/Yr

Jacobs Engineering Group - Los Angeles, CA

Full-time - Mid Level

Los Angeles, CA

Professional, Scientific, and Technical Services

About the position

The Data Scientist / Data Engineer role at Jacobs focuses on leveraging advanced data technologies to support global market projects. The position aims to drive innovation and deliver comprehensive solutions across diverse industries by utilizing data analytics and machine learning techniques to solve complex challenges and provide 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.

Requirements

• 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.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Basic life insurance
• 401(k) plan
• Ability to purchase company stock at a discount
• Deferred compensation plan
• Unlimited Personalized Paid Time Off (PPTO) policy
• Seven paid holidays
• One floating holiday
• Caregiver leave
• Merit increases
• Performance discretionary bonus
• Stock options