Haystack
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown," located "remote." Requires 5+ years in analytics or data engineering, expertise in SQL and dbt, and proficiency in Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #ML (Machine Learning) #dbt (data build tool) #Python #BigQuery #AI (Artificial Intelligence) #Data Pipeline #Data Quality #BI (Business Intelligence) #Data Modeling #Data Science #Data Warehouse #Data Engineering #Automation #Cloud #Data Analysis
Role description
We are partnering with a leading technology company that is revolutionising the way businesses leverage data to make informed decisions. This innovative firm is dedicated to building robust data platforms and empowering teams with self-serve data products to drive growth and efficiency across various industries.
The Role
• Drive data quality and empower cross-functional decision-making.
• Build robust data pipelines and develop self-serve data products.
• Define key metrics for platform health, developer productivity, and ML/AI adoption.
• Own end-to-end analytical data modeling in BigQuery using dbt.
• Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks.
• Develop clear, story-driven dashboards using business intelligence tools.
What You'll Need
• 5+ years of experience in analytics or data engineering, with deep expertise in SQL.
• Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators.
• Proficiency in Python for data analysis and automation.
• Strong understanding of data quality principles and CI/CD for data models.
• Experience with experimentation, ML/AI metrics, or platform productivity is a bonus.
What's On Offer
• Opportunity to work on cutting-edge data projects.
• Drive significant impact on platform health and decision-making.
• Collaborative and dynamic work environment.
• Chance to mentor junior team members.
Apply via Haystack today!
We are partnering with a leading technology company that is revolutionising the way businesses leverage data to make informed decisions. This innovative firm is dedicated to building robust data platforms and empowering teams with self-serve data products to drive growth and efficiency across various industries.
The Role
• Drive data quality and empower cross-functional decision-making.
• Build robust data pipelines and develop self-serve data products.
• Define key metrics for platform health, developer productivity, and ML/AI adoption.
• Own end-to-end analytical data modeling in BigQuery using dbt.
• Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks.
• Develop clear, story-driven dashboards using business intelligence tools.
What You'll Need
• 5+ years of experience in analytics or data engineering, with deep expertise in SQL.
• Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators.
• Proficiency in Python for data analysis and automation.
• Strong understanding of data quality principles and CI/CD for data models.
• Experience with experimentation, ML/AI metrics, or platform productivity is a bonus.
What's On Offer
• Opportunity to work on cutting-edge data projects.
• Drive significant impact on platform health and decision-making.
• Collaborative and dynamic work environment.
• Chance to mentor junior team members.
Apply via Haystack today!
