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Burlington – (USA-NJ-Edgewater Park) Data Scientist II – Burlington, NJ – Edgewater Park, NJ

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Job title: (USA-NJ-Edgewater Park) Data Scientist II Company: Burlington Job description: Come join our growing team here at Burlington Stores as a Data Scientist II! The Data Scientist II will support business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools building and implementing models, using/creating algorithms and creating/running simulations. Must have strong interpersonal and relationship building skills & strong written and verbal communication skills. Duties & Responsibilities: Work with stakeholders throughout the organization including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from the data warehouse to drive optimization and improvement of product allocation, marketing strategy and drive sales Develop predictive models using various algorithms and come up with the best outcomes for business to follow Keep up-to-date with latest technology trends Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Create presentation of gained insights and explain it to stakeholders Education & Qualifications: • Experience: 5-7 Years Skills and Abilities: Advanced US Degree or a Foreign Equivalent 5+ years Information Technology experience 5+ years practical experience with SaaS, ETL, data processing, database programming and data analytics Experience in writing SQL code to access data from the data warehouse Experience in coding using Java/Python 4+ years extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Working knowledge with Analytical tools like MicroStrategy, Tableau, Looker, etc. Knowledge of automation tools to schedule jobs Retail experience preferred If you… …are excited to deliver great values to customers every day; …take a sense of pride and ownership in helping drive positive results for a team; …are committed to treating colleagues and customers with respect; …believe in the power of diversity and inclusion; …want to participate in initiatives that positively impact the world around you; Come join our team. You're going to like it here! You will enjoy a competitive wage and comprehensive benefit package including a generous paid time off plan, a company matched 401(k) and an associate discount. We are a rapidly growing brand and provide a variety of professional development opportunities so our associates can grow with us. We work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity. #LI-TG1 Posting Number 2022-175286 Location US-NJ-Edgewater Park Address 4287 Route 130 S Zip Code 08010 Workplace Type Remote Position Type Regular Full-Time Posted Date 3/1/2022 8:38 AM Career Site Category Corporate Position Category Information Technology Evergreen Yes Expected salary: Location: Burlington, NJ - Edgewater Park, NJ Apply for the job now! [ad_2]

Requirements

Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools building and implementing models, using/creating algorithms and creating/running simulations, Must have strong interpersonal and relationship building skills & strong written and verbal communication skills, Experience: 5-7 Years, Advanced US Degree or a Foreign Equivalent, 5+ years Information Technology experience, 5+ years practical experience with SaaS, ETL, data processing, database programming and data analytics, Experience in writing SQL code to access data from the data warehouse, Experience in coding using Java/Python, 4+ years extensive background in data mining and statistical analysis, Able to understand various data structures and common methods in data transformation, Excellent pattern recognition and predictive modeling skills, Working knowledge with Analytical tools like MicroStrategy, Tableau, Looker, etc, Knowledge of automation tools to schedule jobs

Additional Instructions

The Data Scientist II will support business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data, Work with stakeholders throughout the organization including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics to identify opportunities for leveraging company data to drive business solutions, Mine and analyze data from the data warehouse to drive optimization and improvement of product allocation, marketing strategy and drive sales, Develop predictive models using various algorithms and come up with the best outcomes for business to follow, Keep up-to-date with latest technology trends, Coordinate with different functional teams to implement models and monitor outcomes, Develop processes and tools to monitor and analyze model performance and data accuracy, Create presentation of gained insights and explain it to stakeholders, …are excited to deliver great values to customers every day;, …take a sense of pride and ownership in helping drive positive results for a team;, …are committed to treating colleagues and customers with respect;

Perks and Benefits

You will enjoy a competitive wage and comprehensive benefit package including a generous paid time off plan, a company matched 401(k) and an associate discount, We are a rapidly growing brand and provide a variety of professional development opportunities so our associates can grow with us
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Belarus
Apply Before
Jan 04, 2026
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