Data Scientist Job at OMNI Consulting Solutions, El Segundo, CA

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  • OMNI Consulting Solutions
  • El Segundo, CA

Job Description

We are seeking a driven and analytical Junior Data Scientist to join a fast-paced, mission-focused team supporting data analysis, visualization, financial management, process improvement, and workforce development initiatives. In this role, you will apply advanced data science methodologies and machine learning techniques to extract actionable insights from large-scale datasets, enabling smarter decision-making across critical operations.

You’ll be expected to work in an Agile environment and collaborate with cross-functional teams to solve complex challenges and deliver forward-thinking solutions using Python and other modern technologies.

Key Responsibilities:

  • Execute data science methodologies using Python libraries for data cleaning/wrangling, exploratory data analysis (EDA), statistical modeling, and visualization.

  • Apply machine learning techniques, including clustering, forecasting, natural language processing (NLP), and graph analytics, to analyze structured and unstructured datasets.

  • Support research efforts to develop actionable intelligence and leadership insights through data integration and advanced analytics.

  • Develop and maintain data visualizations, dashboards, and tools to communicate trends, risks, and opportunities to stakeholders.

  • Identify process inefficiencies and support improvements through analytics, automation, and algorithmic solutions.

  • Contribute to assessments of new technologies and systems to enhance data protection and reduce exposure to cyber threats.

  • Work collaboratively in an Agile development environment with regular deliverables and team interactions.

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.

  • Active Secret clearance required.

  • 3+ years of experience applying supervised and unsupervised machine learning algorithms.

  • 3+ years of experience with artificial intelligence technologies and natural language processing (NLP).

  • 3+ years of hands-on experience with Python, AI/ML, Palantir

  • Strong understanding of data science workflows, including EDA, model development, and evaluation.

  • Ability to communicate complex data findings in a clear, concise, and actionable format to non-technical audiences.

Preferred Qualifications:

  • Experience supporting DoD, intelligence, or federal government data environments.

  • Familiarity with visualization platforms such as Tableau, Power BI

  • Experience working in cross-functional or interdisciplinary teams focused on strategic data use.

On-Site in El Segundo, CA, area

ARE WE THE ONE?

OMNI Consulting Solutions is a boutique consulting firm specializing in creating game-changing value and simple solutions for complex demands. OMNI is built on the idea that change moves the world forward and through creative and entrepreneurial leadership, Omni maintains a bold reputation within the DoD/Aerospace community and across the various other industries we support.

As an OMNI employee, you can be assured of extensive growth opportunities, inordinately competitive salary compensation packages, and the unparalleled support of the OMNI family. We are an equal-opportunity employer, and our benefits packages are designed to meet the needs of all our employees and dependents:

  • Medical Coverage

  • Dental Benefits

  • Vision Benefits

  • Life Insurance

  • 401(k) Retirement Plan with Employer Matching

  • Fully Vested on Day 1 of Employment

  • Paid Time Off & Sick Leave

  • Company Sponsored Social Events

IS IT A MATCH?
If you are interested in this position or other opportunities at OMNI, please let us know! We only need your resume and some basic details to get things started.

Even if you aren't a match, we may still be interested! We will keep your resume on file and will let you know if something matching your skills comes along.

(Position code: 5.25.5)

Job Tags

Permanent employment, Full time,

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