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Job Location drjobs

El Segundo, CA - USA

Yearly Salary drjobs

USD 78000 - 85000

Vacancy

1 Vacancy

Job Description

Job description

We are seeking a driven and analytical Junior Data Scientist to join a fastpaced missionfocused 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 largescale datasets enabling smarter decisionmaking across critical operations.

Youll be expected to work in an Agile environment and collaborate with crossfunctional teams to solve complex challenges and deliver forwardthinking 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.

Job requirements

  • Bachelors 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 handson 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 nontechnical audiences.

Preferred Qualifications:

  • Experience supporting DoD intelligence or federal government data environments.

  • Familiarity with visualization platforms such as Tableau Power BI

  • Experience working in crossfunctional or interdisciplinary teams focused on strategic data use.

OnSite in El Segundo CA area

ARE WE THE ONE

OMNI Consulting Solutions is a boutique consulting firm specializing in creating gamechanging 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 equalopportunity 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 arent 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)

All done!

Your application has been successfully submitted!

Employment Type

Full-Time

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