About this role
Haystack News is seeking a Senior Data Scientist for their Fort Lauderdale office with remote flexibility to drive user engagement and retention. This position suits an experienced quantitative professional eager to enhance streaming news algorithms and shape the future of media consumption.
Role Overview
The Senior Data Scientist at Haystack News plays a crucial role in transforming user experiences by developing advanced algorithms and machine learning systems. Working within the engineering department on a full-time basis, this individual leverages causal inference, experimental design, and statistical modeling to optimize content discovery for millions of viewers.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Haystack News stands as the leading destination for streaming platform news, trusted by a global audience exceeding 30 million viewers. Recognized as one of the fastest-growing television news organizations worldwide, the company fosters an innovative and collaborative workplace environment dedicated to redefining how people consume news.
How to Apply
Interested candidates should visit the official Haystack News careers page to submit their application for this role.
Skills and tech stack
Questions candidates ask
What is the location of the Senior Data Scientist role?
The position is based out of the Fort Lauderdale office with remote work options available.
What educational qualifications are required?
Applicants must hold a Ph.D. or Master's degree in Mathematics, Computer Science, Statistics, Electrical Engineering, Economics, or Operations Research.
How many years of experience are needed?
The role requires at least 5 years of professional experience in machine learning, data science, or a related quantitative field, including 3 years specifically focused on large-scale online ranking or recommender systems.
What technical skills are mandatory for this position?
Candidates must be fluent in the Python analytics stack, machine learning packages like LightGBM and XGBoost, statistical modeling tools, and SQL databases such as Snowflake or Postgres.
What preferred qualifications are beneficial for applicants?
Preferred qualifications include consumer product experience with millions of users, knowledge of deep learning tools like PyTorch or TensorFlow, data orchestration tools like dbt and Airflow, and exposure to GenAI, LLMs, and RAG.
