Job Details

ID #53967082
Estado New Hampshire
Ciudad Newyork
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente Equinox
Showed 2025-06-05
Fecha 2025-06-05
Fecha tope 2025-08-04
Categoría Etcétera
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Data Scientist

New Hampshire, Newyork 00000 Newyork USA
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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.

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