Lead Data Scientist

At we make it deliciously simple to eat well and feel good everyday.We are guided by a Mediterranean heritage thats beenperfecting how to eat and live for four thousand years. We prioritizeauthenticity curiosity and the pursuit of excellence in everything we do. Weare working towards somethingbig together.

We foster a culture built on five corevalues:

Generosity First : We lead with kindness. Our best workhappens when we act in of others.

ConstantCuriosity: We are eager tolearn grow and explore beyond the obvious.

Actwith Agility: We welcomechange; its the only constant. We embrace adjust and adapt.

Passionfor Positivity: We greet each daywith warmth and possibility.

CollectiveAmbition: We have highaspirations that are achieved when we work together with a shared purpose.

CAVA is looking for a lead data scientist thatwill help us discover the information hidden in vast amounts of data help usmake smarter decisions improve productivity and deliver even better guestexperiences. To help CAVA establishscalable AI/ML practices and utilization your focus will be in applying datamining techniques performing statistical modeling and analysis machinelearning and building high quality prediction systems integrated with ourplatforms and applications. The idealcandidate will have a strong background in analytics with expertise inleveraging Databricks and open source tools to drive actionable insightsoptimize operations and enhance customer experiences.

What Youll 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

UtilizeAnalytical AI algorithms (e.g. linear regression decision trees boostedtrees models) to automatically gather insights that will be presented in thecommercial reporting solution of the company.

Leverageanomaly detection algorithms (e.g. isolation forest) to identify anomalieswithin the data and generate alerts for the commercial reporting team.

Overseethe extraction preparation and utilization of large datasets required formodel training validation and implementation ensuring data quality andrelevance.

Maintaincomprehensive documentation of AI models and GenAI solutions their logic andperformance metrics.

The Qualifications:

Ability todemonstrate technical expertise with regards to building advance models insupport of business functions

BachelorsDegree in in Data Science Computer Science Statistics Engineering orrelated 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

PhysicalRequirements:

Abilityto maintain stationary position to be able to operate a computer and otheroffice equipment

Must beable to identify analyze and assess details

Forcertain positions must be able to occasionally move or transport items up to50 pounds

Abilityto communicate with others and exchange information accurately and effectively

Constantlypositions self and move about to support ordinary restaurant or food productionsupport or office operations as applicable

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

What we offer:

Competitive salary plus bonus and long-termincentives*

Early Wage Access!

Unlimited PTO paid parental leave plus paidopportunities to give back to the community

HealthDental Vision Telemedicine Pet Insurance plus more!

401kenrollment with CAVA contribution

Company-paidSTD LTD Life and AD&D coverage for salaried positions*

FreeCAVA food

Casualwork environment

The opportunity to be on the ground floor ofa rapidly growing brand

All exempt and non-exempt employees areeligible for benefits. Benefits are effective on the 1st of themonth following 30 days of service and you have until the day before theeffective date to enroll. A new hire can enroll in our benefit program byselecting a link that is emailed directly to the new hire at their personalemail address once hired

The compensation range posted includes totalcash

*Indicatesqualifying eligible positions only

CAVA Joining A culture not a concept

Thisjob description is not intended to be a comprehensive list of all the dutiesand responsibilities of the position and such duties and responsibilities maychange without notice. As an equal opportunity employer CAVA considersapplicants for all positions without regard to race color sex religionnational origin disability age height weight marital status sexualorientation familial status genetic information or any other characteristicor protected classes as defined by federal state or local law.