

Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a long-term contract in Tucson, Arizona, offering $57.00 to $66.00 hourly. Requires 3–5 years of SaaS experience, proficiency in HubSpot, programming skills in Python or R, and familiarity with big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
528
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🗓️ - Date discovered
June 18, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Tucson, AZ
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🧠 - Skills detailed
#Scala #Cloud #Big Data #Looker #Data Integrity #Visualization #R #Spark (Apache Spark) #Microsoft Power BI #Data Integration #AWS (Amazon Web Services) #Data Science #"ETL (Extract #Transform #Load)" #Pig #Security #SaaS (Software as a Service) #Data Modeling #BI (Business Intelligence) #Kafka (Apache Kafka) #Python #Hadoop #Tableau #Datasets #Data Framework #Programming
Role description
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Salary: $57.00 to $66.00 hourly
Description
We are looking for a skilled Data Scientist to join our team on a long-term contract basis in Tucson, Arizona. This role offers an exciting opportunity to leverage data analytics and visualization tools to drive insights and solutions in a SaaS environment. The ideal candidate will have hands-on experience with HubSpot and marketing data, along with a strong background in programming and data modeling.
Responsibilities
• Analyze and interpret complex datasets to identify trends and generate actionable insights.
• Utilize HubSpot’s Marketing Hub data model for querying and extracting relevant information.
• Develop and implement algorithms to optimize marketing and sales funnels.
• Create data visualizations using tools like Power BI, Tableau, or Looker to communicate findings effectively.
• Collaborate with cross-functional teams to improve lead lifecycle and attribution models.
• Design and deploy scalable solutions using cloud technologies, such as AWS.
• Build and maintain APIs for seamless data integration across platforms.
• Apply advanced analytics techniques to enhance decision-making processes.
• Manage big data frameworks like Apache Hadoop, Spark, and Kafka.
• Ensure data integrity and security in all analysis and reporting processes.
Requirements
• Minimum 3–5 years of experience as a Data Scientist or Analyst in a SaaS company.
• Proficiency in querying and working directly with HubSpot’s data model.
• Strong programming skills, with preference for experience in Python or R.
• Hands-on experience with business intelligence tools such as Power BI, Tableau, or Looker.
• Solid understanding of marketing and sales funnels, along with attribution models and lead lifecycle.
• Familiarity with big data technologies like Apache Hadoop, Spark, Kafka, and Pig.
• Experience with cloud platforms and AWS technologies.
• Ability to develop APIs and manage data integration processes effectively.
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