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Data Scientist II - Supply Chain - Job Opportunity at Burlington Stores

Edgewater Park, USA
Full-time
Senior
Posted: February 10, 2025
Hybrid
USD 115,000-150,000 per year

Benefits

Comprehensive 401(k) plan with competitive matching
Premium health insurance coverage including dental and vision
Enhanced disability insurance protection
Flexible scheduling options supporting work-life balance
Generous paid time off package with holidays
Employee discount program adding significant value
Career development and training opportunities

Key Responsibilities

Lead data-driven optimization of supply chain and inventory allocation strategies
Develop and implement predictive models for business process improvement
Collaborate with cross-functional teams to identify data leverage opportunities
Design and maintain monitoring systems for model performance
Present complex analytical insights to senior stakeholders
Drive technological advancement and innovation in data science practices
Coordinate implementation of machine learning solutions across business units

Requirements

Education

Bachelors/Masters Degree or a Foreign Equivalent

Experience

5+ years Data Science experience

Required Skills

Data mining and statistical analysis SaaS, ETL, data processing SQL programming R/Python/PySpark Databricks and Snowflake Machine learning algorithms Data structure knowledge Pattern recognition Power BI, MicroStrategy, Tableau, Looker Automation tools
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Sauge AI Market Intelligence

Industry Trends

Supply chain optimization is becoming increasingly data-driven, with companies investing heavily in predictive analytics to improve efficiency and reduce costs. The integration of machine learning in retail supply chain management represents a significant shift from traditional forecasting methods. There's growing emphasis on real-time analytics and automated decision-making systems in retail operations.

Salary Evaluation

The offered salary range of $115,000-150,000 is competitive for a senior data scientist role in retail, especially considering the hybrid work model and comprehensive benefits package. This positions slightly above median for similar roles in the region.

Role Significance

Typically part of a 5-8 person data science team within a larger technology organization of 50-100 people.
This is a senior individual contributor role with significant impact on business operations and strategic decision-making.

Key Projects

Supply chain optimization and inventory allocation modeling Predictive analytics for demand forecasting Process automation and efficiency improvements Cross-functional data integration initiatives

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex analytical findings into actionable business insights Experience with retail-specific data challenges and solutions Proven track record in implementing production-grade machine learning solutions

Market Demand

High demand with growing trajectory as retail companies continue digital transformation efforts and supply chain optimization initiatives.

Important Skills

Critical Skills

Machine learning expertise with focus on practical business applications Supply chain analytics experience Strong data processing and ETL skills Advanced SQL and programming capabilities

Beneficial Skills

Cloud platform experience Visualization tool expertise Automation and workflow optimization Business communication skills

Unique Aspects

Hybrid work model with bi-weekly on-site requirements shows progressive workplace policies
Focus on supply chain analytics indicates strategic importance of data science in core operations
Combination of technical depth and business impact opportunities

Career Growth

2-4 years in role before advancement, depending on business impact and leadership development

Potential Next Roles

Lead Data Scientist Data Science Manager Head of Analytics Director of Data Science

Company Overview

Burlington Stores

Burlington Stores is a major off-price retailer with a significant national presence and ongoing digital transformation initiatives.

Strong market position in off-price retail segment with growing emphasis on data-driven operations.
Significant presence in Northeast with corporate operations centered in New Jersey.
Professional corporate environment with emphasis on innovation and analytical decision-making.
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