Data Scientist II

at  Burlington Stores

EDUCATION & QUALIFICATIONS:

• Experience: 5-7 Years

SKILLS AND ABILITIES:

• Bachelors/Masters 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 R/Python
• Experience ulizing Data Bricks/Snowflake
• 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 Power BI, MicroStrategy, Tableau, Looker, etc.
• Knowledge of automation tools to schedule jobs
• Retail experience preferred
  Come join our team. You’re going to like it here!
  You will enjoy a competitive wage, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full time associates are also eligible for paid time off, paid holidays and a 401(k) plan.
  We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams 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 2024-225855
  Location US-NJ-Edgewater Park
  Address 4287 Route 130 S
  Zip Code 08010
  Workplace Type Hybrid
  Position Type Regular Full-Time
  Career Site Category Corporate
  Position Category Information Technology
  Evergreen Yes
  Min USD $115,000.00/Hour
  Mid USD $150,000.00/Hour

• 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