Data Scientist

Anarust Inc.; New York (NY); Remote; USD 90,000 - 120,000; Full time

Job summary

A premier dining establishment is seeking a highly skilled Remote Data Scientist to turn complex data into actionable insights. The ideal candidate will have over 3 years of experience, strong programming skills in Python or R, and proficiency in SQL. Responsibilities include developing models for sales forecasting and collaborating with teams to enhance customer engagement. This position offers a remote work environment and opportunities for impact within the organization.

Qualifications

• 3+ years of experience as a Data Scientist or similar role.
• Proficiency in programming languages such as Python or R.
• Strong SQL skills for querying and managing databases.

Responsibilities

• Collect and analyze large datasets from multiple sources.
• Develop predictive models for sales forecasting and guest satisfaction.
• Collaborate with cross-functional teams to provide insights.

Skills

Statistical analysis

Machine learning

Data visualization

Business intelligence

Problem-solving

Critical thinking

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

SQL

Tableau

Power BI

Job description

DIVIETO Ristorante Group is a premier dining establishment bringing authentic Italian cuisine and elevated hospitality experiences to communities across the United States. As we continue to grow, we rely on data-driven strategies to refine our operations, enhance the guest experience, optimize supply chain efficiency, and support decision-making at all levels. We are seeking a highly skilled and motivated Remote Data Scientist to join our dynamic team and contribute to the next phase of our business growth.

Position Overview

The Remote Data Scientist will play a key role in turning complex data into actionable insights that drive innovation and operational excellence across our restaurants. The ideal candidate will have expertise in statistical analysis, machine learning, data visualization, and business intelligence. Working closely with leadership and cross-functional teams, this individual will develop data models and predictive analytics to improve customer engagement, menu optimization, staffing efficiency, and financial performance.

Key Responsibilities

• Collect, clean, and analyze large datasets from multiple sources (POS systems, CRM tools, financial records, supply chain systems, and customer feedback platforms).
• Develop predictive and prescriptive models to support decision-making in areas such as sales forecasting, demand planning, and guest satisfaction.
• Apply advanced statistical and machine learning techniques to identify trends, patterns, and correlations that influence restaurant performance.
• Collaborate with operations, marketing, finance, and executive leadership to provide actionable insights and recommendations.
• Design and implement dashboards, reports, and visualizations to make data accessible to both technical and non-technical stakeholders.
• Monitor key performance indicators (KPIs) to ensure alignment with business goals and proactively identify areas for improvement.
• Conduct A/B testing and data experiments to measure the effectiveness of marketing campaigns, menu changes, and promotional initiatives.
• Ensure data integrity, security, and compliance with company policies and U.S. regulations.
• Stay current with industry best practices, tools, and emerging technologies in data science and restaurant analytics.

Qualifications

Required:

• U.S. Citizenship or valid U.S. Work Permit (required).
• Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proven experience (3+ years) as a Data Scientist, Data Analyst, or similar role.
• Proficiency in programming languages such as Python or R for statistical computing and machine learning.
• Strong SQL skills for querying and managing relational databases.
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Solid knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to work independently in a remote environment while collaborating with a distributed team.

Preferred:

• Masters degree in Data Science, Business Analytics, or related discipline.
• Previous experience in the hospitality, restaurant, or food & beverage industry.
• Familiarity with cloud-based data platforms (AWS, Google BigQuery, Azure).
• Experience with natural language processing (NLP) for analyzing customer feedback and sentiment.
• Understanding of supply chain optimization and revenue management analytics.