Data Scientist

Location:

Deer Park, NY (Hybrid)

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

1. Pricing & KPI Improvement

• 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

2. 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

3. Collaboration with the Data Warehouse (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

4. Dashboards & Reporting

• 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

5. 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