
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Sunnyvale, CA, lasting 6+ months, with a pay rate of "unknown." Requires 3+ years of experience, expertise in SQL and Python, strong data visualization skills, and proficiency in machine learning techniques.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 15, 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 Manipulation #Supervised Learning #Microsoft Power BI #SQL (Structured Query Language) #Unsupervised Learning #Data Science #Reinforcement Learning #Tableau #Data Strategy #Data Analysis #Strategy #ML Ops (Machine Learning Operations) #BI (Business Intelligence) #Deep Learning #Python #Visualization #Database Systems #A/B Testing #Libraries #ML (Machine Learning) #NLP (Natural Language Processing)
Role description
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Data Scientist
Location: Sunnyvale, CA (Local Only)
Duration: 6+ months
Experience: 3+ years
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.