Data Scientist II – On-site (Secret Clearance)

Vsolvit-LL

Norco (CA)

On-site

USD 115,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Health benefits
401K Retirement Plan
Tuition Reimbursement
Life Insurance

Job summary

VSolvit LLC is seeking a mid-level Data Scientist II to join a rapidly evolving team in Norco, CA. You will apply advanced analytics to large datasets, build predictive models, and support decision-making with secure handling of data.

The role emphasizes collaboration, mentorship of junior staff, and staying current with ML developments while delivering insights to diverse stakeholders.

Qualifications

  • Active Secret Security Clearance is required.
  • Bachelor’s degree in a related field.
  • 2–5 years of data science or related experience.
  • Proficiency in Python or R for data analysis.
  • Experience with ML frameworks and SQL databases.
  • Experience with data visualization tools.

Responsibilities

  • Analyze large, complex datasets to extract actionable insights.
  • Develop, implement, and maintain predictive models and ML algorithms.
  • Collaborate with cross-functional teams to translate needs into solutions.
  • Apply statistical methods to uncover trends and support decisions.
  • Present findings to technical and non-technical stakeholders.
  • Ensure security and confidentiality in all data work.
  • Mentor junior data scientists and analysts.
  • Stay updated on advances in data science and ML.

Skills

Python
R
SQL
Machine Learning
Data Visualization
Communication
Jira/Confluence
Active Secret Security Clearance

Education

Bachelor’s degree in Computer Science/Data Science/Mathematics/Statistics/Engineering

Tools

TensorFlow
PyTorch
Scikit-learn
Tableau/Power BI

Job description

VSolvit LLC is seeking a mid-level Data Scientist II to join a rapidly evolving team in Norco, CA. You will apply advanced analytics to large datasets, build predictive models, and support decision-making with secure handling of data.

The role emphasizes collaboration, mentorship of junior staff, and staying current with ML developments while delivering insights to diverse stakeholders.

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