Data Scientist — Analytics draw analytical talent

Data Scientist — Analytics roles draw analytical talent hunting for roles.

Commack, United States | Posted on 12/16/2025

BoxNCase () is your trusted source for gourmet culinary essentials, serving businesses and individuals across North America. Based in the New York City Area, we take pride in being one of the largest direct importers and wholesalers specializing in the world of Specialty & Fine Foods, offering a diverse array of premium products in club sizes. Our commitment is rooted in bringing you a diverse selection of top-tier specialty and fine food products, thoughtfully sourced from around the globe.

Discover a curated selection of chocolates, candies, snacks, spices, condiments, cheeses, teas, and more, all in bulk sizes. Whether you're stocking up for your business or a home chef with a passion for gourmet creations, our easy ordering, proprietary CPG logistic solutions, and US based account managers cater to your unique needs.

About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data-driven culture.

In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and—most importantly—tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks
.

• Exploratory Analysis:
  Dive deep into raw data to discover trends, patterns, and anomalies that others miss.
• Predictive Modeling:
  Build and test statistical models (Regression, Time-series, Clustering) to forecast business outcomes and customer behavior.
• Data Visualization:
  Create clear, impactful dashboards using Tableau
  , PowerBI
  , or Python libraries (Matplotlib/Seaborn) to visualize success metrics.
• Experimentation:
  Design and analyze A/B tests to optimize product features and marketing campaigns.
• Data Cleaning:
  Work with Data Engineers to clean and structure messy data for analysis.
• Strategy:
  Present findings to stakeholders, translating complex math into clear, actionable business recommendations.

• Experience:
  
  2+ years of experience in Data Science or Advanced Analytics.
• The Toolkit:
  Expert proficiency in Python or R for statistical analysis.
• Data Querying:
  Advanced SQL skills are non-negotiable (Joins, Window Functions, CTEs).
• Math Mindset:
  Strong grasp of statistics (Hypothesis testing, distributions,).
• Visualization:
  Ability to communicate data visually using Tableau
  , PowerBI
  , or Looker
  .
• Communication:
  Excellent verbal and written skills; you can explain a p-value to a non-technical manager.

• Viz Tools:
  Tableau, Power
  
  BI, Looker, Plotly
• Machine Learning:
  Scikit-learn, XGBoost, applied to business problems
• Big Data:
  Spark, Hadoop, Snowflake

$50,000 – $180,000 USD / year (Commensurate with location and experience)

Work from where you are most productive.

Stipend for data courses (Coursera, Data Camp) and books.