At we make it deliciously simple to eat well and feel good every

day. We are guided by a Mediterranean heritage that’s been

perfecting how to eat and live for four thousand years. We prioritize

authenticity, curiosity, and the pursuit of excellence in everything we do. We

are working towards something big, together.

We foster a culture built on five core

values:

· Generosity First, : We lead with kindness. Our best work

happens when we act in of others.

·

Constant

Curiosity: We are eager to

learn, grow, and explore beyond the obvious.

·

Act

with Agility: We welcome

change; it’s the only constant. We embrace, adjust, and adapt.

·

Passion

for Positivity: We greet each day

with warmth and possibility.

·

Collective

Ambition: We have high

aspirations that are achieved when we work together with a shared purpose.

CAVA is looking for a lead data scientist that

will help us discover the information hidden in vast amounts of data, help us

make smarter decisions, improve productivity and deliver even better guest

experiences. To help CAVA establish

scalable AI/ML practices and utilization, your focus will be in applying data

mining techniques, performing statistical modeling and analysis, machine

learning, and building high quality prediction systems integrated with our

platforms and applications. The ideal

candidate will have a strong background in analytics, with expertise in

leveraging Databricks and open source tools to drive actionable insights,

optimize operations, and enhance customer experiences.

What You’ll Do:

• Develop and implement machine

learning models and algorithms to support business objectives, including

predictive analytics, demand forecasting, and other business tools

leveraging data and AI.

• Perform data mining and

statistical analysis to extract meaningful insights from large, complex

datasets, including potential third-party data sets.

• Enhance data collection and

processing workflows to ensure data accuracy, relevance, and integrity.

• Collaborate with

cross-functional teams across marketing, operations, and IT to create,

validate, and integrate AI/ML solutions into existing platforms and

applications.

• Create, maintain, monitor

models for business uses including, but not limited to labor models, price

optimization, menu evaluation, customer segmentation, next-best-action

marketing, real estate assessment, etc.

• Create automated systems for

anomaly detection, performance tracking, and reporting.

• Leverage advanced analytics

and large language models (LLMs) to provide actionable insights and

summarize key business trends.

• Design and execute A/B tests

and other experiments to validate hypotheses and optimize strategies.

• Document model development

processes, performance metrics, and findings to ensure transparency and

reproducibility.

• Processing, cleansing, and

verifying the integrity of data used for analysis

• Performing ad-hoc analysis and

presenting results in a clear manner

· Utilize

Analytical AI algorithms (e.g., linear regression, decision trees, boosted

trees models) to automatically gather insights that will be presented in the

commercial reporting solution of the company.

· Leverage

anomaly detection algorithms (e.g., isolation forest) to identify anomalies

within the data and generate alerts for the commercial reporting team.

· Oversee

the extraction, preparation, and utilization of large datasets required for

model training, validation, and implementation, ensuring data quality and

relevance.

· Maintain

comprehensive documentation of AI models and GenAI solutions, their logic, and

performance metrics.

The Qualifications:

·

Ability to

demonstrate technical expertise with regards to building advance models in

support of business functions

·

Bachelor’s

Degree in in Data Science, Computer Science, Statistics, Engineering, or

related field (or equivalent experience)

• Minimum of 5 years of

experience building, designing, and maintaining data science and/or AI

projects

• Demonstrated expertise in

applying advanced statistical and machine learning techniques to

real-world problems, such as predictive modeling, natural language

processing, computer vision, or recommender systems at scale (preferably

in the restaurant vertical)

• Demonstrated experiences in

relevant fields or industries in Information Retrieval, Machine Learning,

NLP, and Query understanding

• Experience implementing

Machine Learning models and algorithms into production at scale with

machine learning algorithms such as classifiers, anomaly detection, and

clustering

• Demonstrated expertise in

managing the entire AI/ML lifecycle, from ideation, data acquisition and

model training, to production deployment and monitoring, including

developing scalable AI/ML CI/CD solutions. Ability to manage AI/ML

projects including success metrics and use of project management tools

(e.g. JIRA)

• Proficient in using various

programming languages and tools for data analysis and machine learning,

such as Databricks MLflow (Python, SQL, TensorFlow, PyTorch, or Spark)

• Great communication skills,

excelling in breaking down intricate AI/ML concepts for a diverse

audience. Communicate technical concepts and results effectively to

diverse stakeholders, including senior leadership.

• Excellent interpersonal and

communication skills that can partner with cross-functional teams

Physical

Requirements

·

Ability

to maintain stationary position to be able to operate a computer and other

office equipment

·

Must be

able to identify, analyze and assess details

·

For

certain positions, must be able to occasionally move or transport items up to

50 pounds

·

Ability

to communicate with others and exchange information accurately and effectively

·

Constantly

positions self and move about to support ordinary restaurant or food production

support or office operations, as applicable

·

Ability

to work in a constant state of alertness and in a safe manner

What we offer

·

Competitive salary, plus bonus and long-term

incentives*

·

Early Wage Access!

·

Unlimited PTO, paid parental leave, plus paid

opportunities to give back to the community

·

Health,

Dental, Vision, Telemedicine, Pet Insurance plus more!

·

401k

enrollment with CAVA contribution

·

Company-paid

STD, LTD, Life and AD&D coverage for salaried positions*

·

Free

CAVA food

·

Casual

work environment

·

The opportunity to be on the ground floor of

a rapidly growing brand

·

All exempt and non-exempt employees are

eligible for benefits. Benefits are effective on the 1st of the

month following 30 days of service, and you have until the day before the

effective date to enroll. A new hire can enroll in our benefit program by

selecting a link that is emailed directly to the new hire at their personal

email address once hired

·

The compensation range posted includes total

cash

*Indicates

qualifying eligible positions only

CAVA –

Joining “A culture, not a concept”

This

job description is not intended to be a comprehensive list of all the duties

and responsibilities of the position, and such duties and responsibilities may

change without notice. As an equal opportunity employer, CAVA considers

applicants for all positions without regard to race, color, sex, religion,

national origin, disability, age, height, weight, marital status, sexual

orientation, familial status, genetic information or any other characteristic

or protected classes as defined by federal, state, or local law.