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Data Scientist II

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Intrinsic First
Full Time, Per diem position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Intrinsic First, LLC Data Scientist II San Diego, CA
· Full time Apply for Data Scientist II

*** MUST reside in the greater SAN DIEGO Metropolitan Area
*** We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact.

About Intrinsic First, LLC

Intrinsic First was founded on the academic theories associated with intrinsic motivation; everything starts from within. Intrinsic motivation generates vitality and is formed through choice (autonomy), competency (growth), and community (purpose and interaction). Our mission is to make the world a better place to work through leadership development, transparent communication, and positive interactions. We believe in trust, transparency, equity, balance, proactivity, growth, and fun.

With a focus on exceptional people and exceptional operations, Intrinsic First creates a sustainable and positive culture.

Description
  • Collect, process, and analyze large structured and unstructured datasets from multiple sources.
  • Develop, test, and deploy machine learning models to solve business problems and optimize operations.
  • Design and implement statistical models, data pipelines, and predictive analytics solutions.
  • Communicate findings and insights clearly through visualizations, dashboards, and reports.
  • Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation.
  • Stay current with emerging data science methodologies, tools, and industry best practices.
  • Ensure compliance with data governance, privacy, and security standards.
  • Reside within a reasonable commuting distance of the designated worksite or client facility to support periodic on-site meetings, reviews, and inspections in accordance with contract and security requirements.
  • Participate in both on-site and virtual work as needed; while hybrid or telework arrangements may be approved, regular in-person presence is required to fulfill client, program, and compliance obligations.
  • Ensure availability for site visits and coordination activities that support contractual commitments and operational needs.

Education & Certifications

  • Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or Bachelor’s degree with additional 2 yrs relevant experience).

Experience and Qualifications

  • 2-4+ years of hands-on, applied experience in data science, machine learning, or analytics.
  • Proficiency in Python or R for statistical modeling, data wrangling, and machine learning.
  • Experience developing, tuning, and deploying models using frameworks such as Scikit-learn, Tensor Flow, or PyTorch.
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) strongly preferred.
  • Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred.

Knowledge, Skills, and Abilities

  • Strong analytical thinker with the ability to translate data insights into actionable business solutions.
  • Demonstrated ability to own projects from concept to deployment, balancing autonomy with collaboration.
  • Detail-oriented and proactive, with a passion for learning emerging data tools and methods.
  • Proficiency in Python or R for statistical modeling, data wrangling, and machine learning.
  • Strong knowledge of SQL and experience with both relational and non-relational databases.
  • Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).
  • Demonstrated ability to bridge advanced research and applied data science solutions preferred.
  • Ability to obtain a DOD Secret clearance. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
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