Intellectt Inc
Data Scientist – SQL, PySpark & Basic ML Modeling
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 6–9 years of SQL experience, knowledge of PySpark, and basic ML modeling skills. It requires onsite work in Cupertino at least three days a week, focusing on data analysis and stakeholder collaboration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Accuracy #Clustering #Spark (Apache Spark) #Visualization #ML (Machine Learning) #Datasets #PySpark #SQL (Structured Query Language) #Data Science #Regression
Role description
Job Description:
We are seeking a skilled Data Scientist to analyze complex data sets and provide actionable insights. The ideal candidate is proficient in SQL, has knowledge of PySpark, and can perform basic modeling such as Regression, Decision Trees, and Clustering. This is a business-facing role that requires collaboration with project teams and stakeholders.
Responsibilities:
• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models and algorithms to solve business problems.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with teams to understand data requirements and deliver analytical solutions.
• Ensure data accuracy and integrity through validation and quality checks.
Required Skills:
• Advanced SQL (6–9 years experience)
• Knowledge of PySpark is a plus
• Basic modeling: Regression, Decision Tree, Clustering
• Strong business understanding and ability to communicate insights to stakeholders
Additional Skills:
• Data Analytics – advanced statistical analysis & modeling
• Business-facing, collaborative approach
Work Requirements:
• Onsite presence at Cupertino office minimum 3 days per week (Tuesday, Wednesday, Thursday)
Experience Level: Mid to Senior (6–9 years in relevant analytics and SQL experience)
Job Description:
We are seeking a skilled Data Scientist to analyze complex data sets and provide actionable insights. The ideal candidate is proficient in SQL, has knowledge of PySpark, and can perform basic modeling such as Regression, Decision Trees, and Clustering. This is a business-facing role that requires collaboration with project teams and stakeholders.
Responsibilities:
• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models and algorithms to solve business problems.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with teams to understand data requirements and deliver analytical solutions.
• Ensure data accuracy and integrity through validation and quality checks.
Required Skills:
• Advanced SQL (6–9 years experience)
• Knowledge of PySpark is a plus
• Basic modeling: Regression, Decision Tree, Clustering
• Strong business understanding and ability to communicate insights to stakeholders
Additional Skills:
• Data Analytics – advanced statistical analysis & modeling
• Business-facing, collaborative approach
Work Requirements:
• Onsite presence at Cupertino office minimum 3 days per week (Tuesday, Wednesday, Thursday)
Experience Level: Mid to Senior (6–9 years in relevant analytics and SQL experience)
