Senior Data Scientist

Kinect; Calabasas (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Kinect in Los Angeles seeks a Senior Data Scientist to join a high-impact revenue science team. This production-focused role is embedded in an active system build, not a research position, delivering pricing, demand forecasting, and inventory decisions at scale.

You'll work with yield management, engineering, and external data partners to deploy models, design experiments, and maintain data pipelines on Databricks and Spark, presenting results to business stakeholders.

Qualifications

• 5+ years of hands-on data science experience in production
• Proficient in Python and SQL
• Experience with Databricks and Spark in a production environment
• Pricing, forecasting, demand modeling, or inventory optimization experience
• Familiarity with time series methods and causal/experimental design
• Strong communication with business stakeholders

Responsibilities

• Build and deploy predictive models into a live revenue management system
• Apply ML techniques for pricing, forecasting, and inventory decisions
• Design and run experiments to evaluate new features
• Collaborate with yield management and engineering teams
• Maintain data pipelines and model infrastructure on Databricks and Spark
• Present results to non-technical stakeholders

Skills

Data science exp

Python & SQL

Pricing/Forecasting

Time series

Experimental design

Communication

GitHub

Tools

Databricks

Spark

Python

SQL

Job description

Senior Data Scientist - Revenue Management

We're looking for a Senior Data Scientist to join a high-impact revenue science team at a well-known hospitality and travel brand headquartered in Los Angeles. This is a hands-on, production-focused role embedded in an active system build - not a research position.

You'll work directly with yield management, engineering, and external data partners to develop and deploy machine learning models that drive pricing, demand forecasting, and inventory decisions at scale.

What you'll be doing:

• Building and deploying predictive models into a live revenue management system, owning the work from experimentation through production


• Applying advanced ML techniques including double ML, causal inference, time series forecasting, and feature selection methods to real pricing and demand problems


• Designing and running experiments to evaluate new data elements and model features for predictive power


• Collaborating with yield management stakeholders to translate business objectives into data-driven solutions


• Maintaining and extending data pipelines and model infrastructure on Databricks and Spark


• Presenting results and defending modeling approaches to non-technical stakeholders

What we're looking for:

• 5+ years of hands-on data science experience with a clear track record of models shipped to production


• Strong Python (near expert-level) and solid SQL


• Experience with Databricks and Spark in a production environment


• Demonstrated experience in pricing, forecasting, demand modeling, or inventory optimization


• Familiarity with time series methods and causal/experimental design


• GitHub and software development lifecycle fluency


• Clear, confident communicator who can present to business stakeholders

Nice to have:

• Background in travel, hospitality, airlines, retail, or any industry where dynamic pricing is core to the business


• Experience with double ML, elasticity modeling, or optimization engines


• Exposure to working alongside external consultants or third-party model vendors