Box N Case
Data Scientist — Analytics roles draw analytical talent hunting for roles.
Box N Case, Commack, New York, United States, 11725
Data Scientist — Analytics roles draw analytical talent hunting for roles.
Commack, United States | Posted on 12/16/2025
BoxNCase (www.boxncase.com) 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.
Job Description 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 .
What You Will Do
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.
Requirements
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.
Preferred Tech Stack
Viz Tools: Tableau, PowerBI, Looker, Plotly
Machine Learning: Scikit-learn, XGBoost, applied to business problems
Big Data: Spark, Hadoop, Snowflake
Salary Range $50,000 – $180,000 USD / year (Commensurate with location and experience)
Remote Friendly Work from where you are most productive.
Learning Budget Stipend for data courses (Coursera, DataCamp) and books.
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BoxNCase (www.boxncase.com) 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.
Job Description 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 .
What You Will Do
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.
Requirements
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.
Preferred Tech Stack
Viz Tools: Tableau, PowerBI, Looker, Plotly
Machine Learning: Scikit-learn, XGBoost, applied to business problems
Big Data: Spark, Hadoop, Snowflake
Salary Range $50,000 – $180,000 USD / year (Commensurate with location and experience)
Remote Friendly Work from where you are most productive.
Learning Budget Stipend for data courses (Coursera, DataCamp) and books.
#J-18808-Ljbffr