
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Sunnyvale, CA, lasting 6+ months at $55/HR. Requires 3-5 years of experience, expertise in SQL and Python, proficiency in data visualization tools, and strong machine learning knowledge.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
440
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ποΈ - Date discovered
August 5, 2025
π - Project duration
More than 6 months
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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
Sunnyvale, CA
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π§ - Skills detailed
#Data Strategy #Deep Learning #ML Ops (Machine Learning Operations) #Database Systems #Unsupervised Learning #SQL (Structured Query Language) #Tableau #BI (Business Intelligence) #Microsoft Power BI #Data Science #NLP (Natural Language Processing) #Strategy #Reinforcement Learning #Libraries #ML (Machine Learning) #Visualization #A/B Testing #Data Manipulation #Data Analysis #Supervised Learning #Python
Role description
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Data Scientist
Location: Sunnyvale, CA (Local Only)
Duration: 6+ months
Experience: 3 - 5 years
Pay rate: $55/HR
Responsibilities:
β’ Strategic Data Analysis: Manage and deliver intricate data analysis projects from start to finish.
β’ Advanced Modeling: Develop, implement, and validate advanced statistical and machine learning models to address complex business problems.
β’ Data Strategy & Innovation: Contribute to the development and execution of the overall data strategy for the team and organization.
β’ Cross-Functional Collaboration: Collaborate effectively with stakeholders.
β’ Presentation & Communication: Present complex technical findings and recommendations in a clear and concise manner.
Technical Skills:
β’ Expertise in SQL and experience working with various database systems.
β’ Expert-level proficiency in Python including extensive experience with relevant libraries for data manipulation, analysis, modeling, and visualization.
β’ Strong experience with data visualization tools and techniques (e.g., Tableau, Power BI etc.).
β’ Deep understanding and practical experience with a wide range of machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
β’ Proficient in NLP techniques, and A/B testing and experimentation. Experience with LLM and ML Ops is a plus.