

Data Scientists- Los Angeles, CA
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Los Angeles, CA, offering a long-term contract. Requires 8+ years of experience, proficiency in R and Python, statistical modeling, and experience in government or educational settings. Onsite work is mandatory.
π - Country
United States
π± - Currency
Unknown
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π° - Day rate
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ποΈ - Date discovered
June 6, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Los Angeles, CA
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π§ - Skills detailed
#Linux #Statistics #Python #Data Science #GIT #R #Programming #Requirements Gathering #Forecasting #Databricks
Role description
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Job Description
Hello,
Data scientists- Los Angeles, CA
We have below job opening.
If you are interested and your experience match with job description.
Please send your updated resume....Asap
Title: Data Scientist
Onsite: Los Angeles, CA
Duration: Longtetrm Contract
Job description:
Resource must have at least Eight (8) years of experience.
QUALIFICATIONS AND DUTIES
1. Experience coding data science solutions using R programming language and/or Python.
2. Experience building statistical models, creating predictive/forecasting models, and understand algorithmic bias in stats & implications.
3. Experience shepherding a data science model from requirements gathering from business stakeholders, to coding, to releasing to production, to assessing performance, to refining/optimization.
4. Clearly express the details of a data science model to peers and support finding with simulations measuring the effectiveness the model and optimize for constraints.
5. Experience in a government, school district, or related setting is preferred 6) Support a Data Science Team in using collaboration software using Posit Workbench, Databricks, Hex, or similar .
6. Train Data Science team on how to check in code and collaborate using GIT and provide training and knowledge transfer on statistical models and methods.
7. Explaining complex statistical models and concepts into clear, understandable language for non-technical users who have minimal level knowledge of statistics.
8. Configure and troubleshoot Linux servers for hosting data science tools.
9. Document code, server settings, software settings, and workflows to facilitate lasting processes.
Additional Information
All your information will be kept confidential according to EEO guidelines.