Data Scientist

Job Locations US-NJ-Jersey City
ID
2025-11409
Category
Information Technology
Position Type
Regular Full-Time

Overview

Imperial Dade, a leading national distributor, is seeking a highly motivated and skilled Data Scientist to join our dynamic team in Jersey City, NJ. In this pivotal role, you will work alongside peer data scientists to develop, enhance, and maintain critical pricing models, leveraging advanced data engineering and machine learning techniques to drive high-impact business decisions. You'll also have the opportunity to work closely with and learn from our new, dynamic leader who is set to transform our revenue management strategy 

 

 

Salary: $110,000 - $135,000

 

Imperial Dade is the leading independently owned and operated distributor of foodservice packaging and janitorial supplies in North America. As a provider of customized supply chain solutions, we serve customers in many business-to-business market segments including restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, Imperial Dade serves as a mission-critical partner to more than 120,000 customers through our footprint of 130+ branches.

 

**All correspondence will come directly from Imperial Dade and not a personal email address.*

Responsibilities

You will:

  • Analyze structured and unstructured datasets to identify patterns, trends, and insights.
  • Build, validate, and deploy machine learning models to solve real-world business problems.
  • Collaborate with cross-functional teams and business stakeholders to define data needs and translate insights into actionable strategies
  • Conduct A/B testing and experimental analysis to optimize product features and business processes.
  • Visualize data effectively and present results in clear, compelling formats.
  • Ensure data integrity, perform data cleaning, and improve data quality pipelines as needed.

Qualifications

You have:

  • Master or PhD in data science, Computer Science, Statistics, Mathematics, or a related field.
  • 2–4 years of experience working in a data science or advanced analytics role.
  • Proficiency in Python or R, with hands-on experience using libraries like pandas, scikit-learn, TensorFlow, or similar.
  • Strong SQL skills and experience working with large datasets.
  • Solid understanding of machine learning algorithms, statistical modeling, and experimental design.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
  • Excellent problem-solving skills and the ability to communicate technical results to non-technical audiences.
  • Familiarity with cloud platforms (Azure, AWS, GCP)
  • Experience working with big data frameworks (Spark, Hadoop, Databricks)

 

We offer a dynamic environment for our more than 7,500 employees to work, learn, and grow professionally. We value our people and strive to create rewarding career opportunities by offering competitive salaries and benefits (medical, dental, vision), a 401(k) program with company match, a shared ownership program, life insurance, a generous paid time off package, educational reimbursement, paid family leave, and adoption assistance. We are excited to invite talented individuals with a passion for excellence to join our team.

 

Imperial Dade is an EEO Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, age, disability (physical or mental), family medical history, or genetic information, political affiliation, military service, or other non-merit-based factors.

 

Our company is a Fair Chance employer, committed to providing opportunities for qualified individuals with past justice system involvement. We believe in assessing candidates based on their skills and experience. A conditional offer of employment will be contingent upon the successful completion of a background check, consistent with applicable federal, state, and local laws.

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