REMOTE- Data Scientist
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Role details
Tech stack
Job description
The Lead Data Scientist will build data, analytics, and AI solutions that support Sales, Inventory, and Operations Planning (SIOP) transformation and drive business impact across inventory performance and customer service. This individual will partner closely with business stakeholders to transform complex operational data into actionable insights, scalable analytics products, forecasting models, dashboards, and AI-powered tools., Deliver high-impact analytics by partnering with cross-functional leaders to define business problems and develop solutions that improve inventory, on-time delivery, and cost performance.
Build end-to-end analytics products, including:
Data pipelines and Snowflake tables
Forecasting and time-series models
Inventory and clear-to-build analytics
Dashboards and reporting assets
AI-powered decision-support tools
Maintain and operate analytics assets in production, ensuring accuracy, reliability, and ongoing performance.
Engineer trusted datasets by transforming large, complex operational data into structured, high-quality data assets and implementing continuous improvement frameworks for data quality.
Translate analytical findings into clear recommendations and drive adoption of tools and insights across the organization.
Requirements
1) SQL, Python, building and managing data pipelines in Snowflake, everything related to dev Ops
2) Modeling including data prep (join different tables, create cuts, create longitudinal data sets etc.), feature engineering (create calculated metrics for complex analysis), and forecasting and so on
3) Independent thinking to quality check output; ask questions; and generate insights
Benefits & conditions
This is a 6 month contract with the intention to convert. Compensation: $80 - 85/hr. Exact compensation may vary based on several factors, including skills, experience, and education.
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