Job Description

We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems.

This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications.

A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation.

The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization.

You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives.

You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science.

Qualifications

• A degree in a computational field (Ph.D. preferred)
• 3+ years of experience in Data Science, ML Engineering or related field
• Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing)
• Expertise with optimization algorithms and problem formulation
• Expertise in measuring predictions via A/B tests and other experiments
• Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses
• Advanced SQL
• Interest in aiding major business decisions across sales, marketing and operations

Experience in the following areas is preferred:

• Databricks
• Recommender systems
• Natural Language Processing
• Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize)
• Event-driven and batch data pipeline architectures
• Workflow orchestration tools (we use Prefect and Rundeck)
• Version control (we use GitHub)
• CI/CD build and deployment tools (we use Travis and Jenkins)
• Writing unit tests
• Proven track record in developing and deploying machine learning models and predictive software applications
• Working in the fitness, wellness, lifestyle consumer spaces

Pay Transparency: Min $120K - Max $140k

_ THIS ROLE IS BASED IN A NYC OFFICE._

_ ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED._

Additional Information

** AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE:**

• Complimentary Club membership
• Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop

This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department.

Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ https://careers.equinox.com/_

All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.