Senior Data Scientist

Haystack News

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States • Florida

✨ AI Apply

Senior

AirflowNumpyPandasPostgresPythonPyTorchScikit-LearnSQLTensorflow

About the role

Work cross-functionally to translate business problems into testable analyses and experiments.
Dive deep into data to find key insights that would impact the business.
Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization.
Develop and deploy machine learning models to make recommendations and influence the product roadmap.
Define and build new ML features using text and multimodal embeddings and GenAI.
Validate offline learnings with online outcomes through A/B testing; design, execute, and analyze experiments to prove product change attribution.

PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research.
3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions).
Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
Proficiency in causal inference methods.
Proven ability to translate offline analysis into online impact.
Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
Strong experience with SQL (e.g. postgres, snowflake, etc).
Preferred: 2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc).
Preferred: Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
Preferred: Experience with deep learning and familiarity with tools such as PyTorch or TensorFlow.
Preferred: Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.