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Data Scientist

San Diego, California, United StatesHybridFull Time$77,600–$176,000 /yrPosted 2 months ago

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Role summary

A global consultancy seeks a Data Scientist in San Diego, CA, for a hybrid role focusing on national security and high-stakes analytics. The position involves designing and deploying ML models using Python, R, or C++, architecting data pipelines on cloud platforms (AWS, Azure, GCP), and leading the data lifecycle from feature selection to visualization. Responsibilities include stakeholder collaboration, Agile methodologies, MLOps, and CI/CD for model operationalization. Requires 3+ years of experience, proficiency in Python/R/Java/C++ and SQL, familiarity with ML algorithms and platforms like Databricks, and US Citizenship for a Secret clearance. The role offers a competitive salary and benefits, with opportunities to work on impactful 'data for good' projects.

Data Scientist | San Diego, CA | Hybrid | $77,600 - $176,000
We're working with a leading global consultancy at the forefront of national security and high-stakes analytics on this exciting opportunity.
Step into a role where your analytical prowess directly impacts global challenges, from fraud detection to breakthrough cancer research. You will leverage a sophisticated tech stack featuring Python, Machine Learning, and Cloud infrastructure to transform massive, disparate datasets into actionable intelligence for mission-critical client decisions.
The Role

  • Design and deploy advanced algorithms and Machine Learning models using Python, R, or C++ to solve complex data puzzles for public and private sector clients.
  • Architect and manage data pipelines within Cloud environments like AWS, Azure, or Google Cloud (GCP) to handle large-scale structured and unstructured data.
  • Lead the end-to-end data lifecycle: from feature selection and anomaly handling to model interpretation and high-impact data visualization using Tableau, PowerBI, or Qlik.
  • Collaborate directly with stakeholders to translate abstract business needs into technical requirements, utilizing Agile methodologies and MLOps best practices.
  • Drive the operationalization of models using CI/CD tools such as Git, Jenkins, and Docker to ensure seamless deployment in enterprise environments.

What You'll Need

  • 3+ years of professional experience in Data Science, Data Analytics, or Applied Statistics.
  • Proven proficiency in programming for data science, specifically with Python, R, Java, or C++, and knowledge of SQL (PL/pgSQL).
  • Hands-on experience with Neural Networks, Decision Trees, and Logistic Regression, plus familiarity with modern platforms like Databricks, Palantir Foundry, or ElasticSearch.
  • Strong communication skills to bridge the gap between technical complexity and non-technical audience understanding through compelling storytelling.
  • US Citizenship and the ability to obtain a Secret security clearance; Bachelor’s degree required (Master’s in CS, Math, or Engineering preferred).

What's On Offer

  • Highly competitive salary range ($77,600 - $176,000) based on your unique expertise and location.
  • Comprehensive wellness package including top-tier health, life, and disability insurance plus robust retirement/401k matching.
  • Dedicated support for growth with tuition assistance, professional development programs, and a culture that values work-life integration.
  • The opportunity to work on highly visible, "data for good" projects that protect national security and advance scientific discovery.

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