We Sell Cellular LLC
This range is provided by We Sell Cellular LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $75,000.00/yr - $105,000.00/yr
Additional compensation types Annual Bonus
Employment Type Full-time
Position Overview We Sell Cellular (WSC) is a leading U.S.-based distributor of used smartphones. To further strengthen our competitiveness in pricing, inventory efficiency, and operational performance, we are looking for a Data Scientist who will focus on data-driven pricing strategy, inventory optimization and KPI improvement, especially around DIO (Days Inventory Outstanding), margin performance, and sales velocity.
In this role, you will work closely with Sales, Purchasing, Operations, and our warehouse teams to analyze sales and inventory data, develop price-related models, and build dashboards that directly support business decision‑making. Your work will have a direct and measurable impact on WSC’s performance.
Key Responsibilities
Analyze sales patterns, pricing trends, and device-level demand behavior
Visualize and monitor key business KPIs such as DIO, margin, and sales velocity
Identify optimal pricing ranges based on historical sales and inventory data
Provide data-based recommendations for price adjustments and inventory actions
Collaborate with Sales and Purchasing on pricing strategies and decision‑making
Modeling & Forecasting
Build and maintain pricing models (regression, time‑series, predictive models)
Estimate demand fluctuations caused by seasonality, device cycles, and market events
Develop early‑warning logic for slow‑moving or overstocked inventory
Improve pricing recommendation logic for new incoming stock
Collaboration with the DWH Team
Define data requirements for sales, inventory, and operational analytics
Support data modeling and ensure high‑quality, analysis‑ready datasets
Work closely with Operations and Quality teams to improve data collection and accuracy
Contribute to the integration of multiple data sources into a unified DWH structure
Build dashboards using Looker / Looker Studio for Sales, Purchasing, and Management
Develop weekly and monthly performance reports for the leadership team
Maintain monitoring tools and anomaly alerts for key pricing and inventory indicators
Support the creation of pricing dashboards used in daily operations
Cross-Functional Collaboration
Work closely with Sales, Purchasing, and Operations to translate analysis into actions
Conduct periodic on-site coordination with warehouse teams to understand operational data
Support ad‑hoc analysis for business partners in Japan (Japanese language skills are welcomed)
Required Qualifications
Practical experience with Python (Pandas, NumPy, scikit‑learn)
Strong SQL skills for data extraction and transformation
Solid understanding of statistical methods (regression, time series, hypothesis testing)
Experience with BI tools such as Looker, Looker Studio, or Tableau
Proven ability to link data analysis to KPI improvement and business outcomes
Experience collaborating with non‑technical teams (Sales, Purchasing, Operations)
Hands‑on experience working with multiple data sources and ensuring data quality
Preferred Qualifications
Experience in pricing analytics, demand forecasting, or revenue optimization
Experience working in DWH environments (BigQuery preferred)
Experience using ELT tools such as dbt or Dataform
Experience analyzing data from supply chain, distribution, retail, or inventory-driven businesses
Experience building Machine Learning models and MLOps eco‑system
Familiarity with WMS (Warehouse Management System) data
Experience using AI/LLM tools for automation and accelerating analysis
Japanese language skills (welcome but not required)
Work Style
Hybrid work model centered around the Long Island (Deer Park) office
Regular on-site collaboration required with warehouse and operations teams
Flexible, performance-oriented work culture
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Base pay range $75,000.00/yr - $105,000.00/yr
Additional compensation types Annual Bonus
Employment Type Full-time
Position Overview We Sell Cellular (WSC) is a leading U.S.-based distributor of used smartphones. To further strengthen our competitiveness in pricing, inventory efficiency, and operational performance, we are looking for a Data Scientist who will focus on data-driven pricing strategy, inventory optimization and KPI improvement, especially around DIO (Days Inventory Outstanding), margin performance, and sales velocity.
In this role, you will work closely with Sales, Purchasing, Operations, and our warehouse teams to analyze sales and inventory data, develop price-related models, and build dashboards that directly support business decision‑making. Your work will have a direct and measurable impact on WSC’s performance.
Key Responsibilities
Analyze sales patterns, pricing trends, and device-level demand behavior
Visualize and monitor key business KPIs such as DIO, margin, and sales velocity
Identify optimal pricing ranges based on historical sales and inventory data
Provide data-based recommendations for price adjustments and inventory actions
Collaborate with Sales and Purchasing on pricing strategies and decision‑making
Modeling & Forecasting
Build and maintain pricing models (regression, time‑series, predictive models)
Estimate demand fluctuations caused by seasonality, device cycles, and market events
Develop early‑warning logic for slow‑moving or overstocked inventory
Improve pricing recommendation logic for new incoming stock
Collaboration with the DWH Team
Define data requirements for sales, inventory, and operational analytics
Support data modeling and ensure high‑quality, analysis‑ready datasets
Work closely with Operations and Quality teams to improve data collection and accuracy
Contribute to the integration of multiple data sources into a unified DWH structure
Build dashboards using Looker / Looker Studio for Sales, Purchasing, and Management
Develop weekly and monthly performance reports for the leadership team
Maintain monitoring tools and anomaly alerts for key pricing and inventory indicators
Support the creation of pricing dashboards used in daily operations
Cross-Functional Collaboration
Work closely with Sales, Purchasing, and Operations to translate analysis into actions
Conduct periodic on-site coordination with warehouse teams to understand operational data
Support ad‑hoc analysis for business partners in Japan (Japanese language skills are welcomed)
Required Qualifications
Practical experience with Python (Pandas, NumPy, scikit‑learn)
Strong SQL skills for data extraction and transformation
Solid understanding of statistical methods (regression, time series, hypothesis testing)
Experience with BI tools such as Looker, Looker Studio, or Tableau
Proven ability to link data analysis to KPI improvement and business outcomes
Experience collaborating with non‑technical teams (Sales, Purchasing, Operations)
Hands‑on experience working with multiple data sources and ensuring data quality
Preferred Qualifications
Experience in pricing analytics, demand forecasting, or revenue optimization
Experience working in DWH environments (BigQuery preferred)
Experience using ELT tools such as dbt or Dataform
Experience analyzing data from supply chain, distribution, retail, or inventory-driven businesses
Experience building Machine Learning models and MLOps eco‑system
Familiarity with WMS (Warehouse Management System) data
Experience using AI/LLM tools for automation and accelerating analysis
Japanese language skills (welcome but not required)
Work Style
Hybrid work model centered around the Long Island (Deer Park) office
Regular on-site collaboration required with warehouse and operations teams
Flexible, performance-oriented work culture
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