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# Senior Data Scientist

- **Company:** HAYSTACK MOBILE TECHNOLOGIES, LLC
- **Location:** Fort Lauderdale, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Statistical Hypothesis Testing, Python (Programming Language), PostgreSQL, Machine Learning, NumPy, Recommender Systems, Tensorflow, SQL Databases, Pytorch, Large Language Models, Snowflake, Deep Learning, Scikit Learn, Information Technology, Xgboost
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=924dace8a553fcc2

## About the Role

* 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
 * 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).
 * Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
 * Proficiency in causal inference methods to measure product impact.
 * Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.
 * 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)., * Experience working on consumer-facing products with millions of users.
 * Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
 * Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
 * Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

## Description

* Build statistical and machine learning models to improve content discovery and user engagement.
 * Work closely with ML engineers to translate models and insights into production systems.
 * Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
 * Apply causal inference methods to understand the impact of potential product changes.
 * Define and build new ML features using text and multimodal embeddings and GenAI.
 * Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.


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