Senior Data Scientist
Fort Lauderdale Office · Fort Lauderdale, Florida, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Server side — team source
Department: Engineering › Server side
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
From the employer’s application form
What you’ll work on
Full postingBuild statistical and machine learning models for content discovery and engagement
Translate models and insights into production systems with ML engineers
Apply causal inference to measure the impact of potential product changes
Build new ML features using text and multimodal embeddings and GenAI
Design, run, and analyze A/B experiments to attribute product changes
From the employer’s posting
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.
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.
Design, execute, and analyze experiments to prove product change attribution.
What you’ll bring
All qualificationsCore experience
- PhD or M.S. in CS, Math, EE, Statistics, Economics or Operations Research
- 5+ years in data science, machine learning or a related quantitative field
- 3+ years with large-scale online ranking or recommender systems
- Deep expertise in statistical inference and experimental design
- Proficiency in causal inference methods
Preferred experience
- Experience working on consumer-facing products with millions of users.
- Hands-on experience with orchestration/transformation tools (e.g.
- Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
Qualification wording
PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research
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
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.
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.
Education & alternatives
MINIMUM QUALIFICATIONS - 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).
Tools in this posting
- Python
- SQL
- dbt
- Snowflake
- Airflow
- LightGBM
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
- PostgreSQL
Source — Tool mentions in context
- 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).
- 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 QUALIFICATIONS:
- 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 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 30 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 28, 2026
- Reposted
- once since Jun 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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
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).
PREFERRED QUALIFICATIONS:
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.
RESPONSIBILITIES
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Fort Lauderdale, Florida, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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