Website Tailored Management
Tailored Management
Company : Tailored Management
Data Scientist: Data Engineering & BI Expert
Rate: $63.31 Per hour
Location: 100% Remote (Candidates must reside in EST or CST time zones)
Contract Duration: 6-months
The Mission
We are looking for a hybrid Data Scientist who balances technical engineering rigor with a sharp business mind. This isn't just about moving data it's about owning high-priority projects like A/B testing analytics and enterprise-grade reporting. You will build the pipelines, design the dashboards, and ensure the business has the insights needed to move fast.
High-Priority Impact Areas
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Experimental Analytics: Develop and automate sophisticated A/B testing reports to measure project success.
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BI Excellence: Architect and manage high-performance Power BI dashboards.
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Data Infrastructure: Leverage Databricks to build and optimize robust data pipelines.
Key Responsibilities
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Pipeline Engineering: Design and maintain automated ETL workflows using Python and Databricks Jobs.
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End-to-End BI: From data gateways to final visualizations, own the entire lifecycle of reporting (Power BI, Tableau, or Looker).
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Data Governance: Ensure the "Gold Standard " of data quality, consistency, and reliability across all enterprise systems.
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Business Partnership: Collaborate with stakeholders to translate business questions into technical requirements and actionable insights.
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DevOps Integration: Manage code repositories via GitHub Enterprise and implement CI/CD principles for data workflows.
What You'll Need to Succeed
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The Tech Stack: Advanced proficiency in SQL, Python, and Databricks.
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Visualization Mastery: Deep experience in dashboard development and connecting to various cloud platforms ( Azure).
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Engineering Mindset: Familiarity with CI/CD, GitHub Enterprise, and optimizing for scalability.
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Independence: A self-starter who takes total ownership of projects from day one.
Preferred Qualifications
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2+ years in retail or enterprise reporting environments.
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Hands-on experience with PySpark for large-scale data processing.
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Comfort working in Agile development cycles.