Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.
Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you’ll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product’s success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.
MINIMUM QUALIFICATIONS
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PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field
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3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).
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Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
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Proficiency in causal inference methods to measure product impact.
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Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.
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Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
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Strong experience with SQL (e.g. postgres, snowflake, etc).
PREFERRED QUALIFICATIONS:
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Experience working on consumer-facing products with millions of users.
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Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
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Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
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Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.
RESPONSIBILITIES
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Build statistical and machine learning models to improve content discovery and user engagement.
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Work closely with ML engineers to translate models and insights into production systems.
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Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
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Apply causal inference methods to understand the impact of potential product changes.
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Define and build new ML features using text and multimodal embeddings and GenAI.
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Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.