Senior Data Scientist
Haystack · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Develop AI talent acquisition intelligence systems.
- Build candidate matching and recommendation engines.
- Work with GenAI, LLMs, and agentic architectures.
- Mine structured and unstructured data sources.
- Remote flexibility with growth opportunities.
About the role
About Haystack
We're working with a cutting-edge technology company that is revolutionising talent acquisition through intelligent systems and advanced AI solutions. This organisation is at the forefront of innovation, developing sophisticated platforms that connect talent with opportunities and derive actionable insights from complex data.
The Role
- Develop core intelligence systems for a leading talent platform
- Build and enhance candidate-to-opportunity matching capabilities
- Create recommendation engines for outreach targets
- Contribute to enterprise-scale GenAI multi-agent initiatives
- Mine data for actionable insights from structured and unstructured sources
What You'll Need
- 5+ years of hands-on experience in Python and AWS
- Strong grounding in modern data wrangling techniques and unstructured data processing
- Deep, current knowledge of GenAI, including LLMs and agentic architectures
- Proven experience in recommendation and matching engine development
- STEM Master's or Ph.D.
- Excellent communication and collaboration skills with a growth mindset
What's On Offer
- Opportunity to work on innovative AI-powered talent solutions
- Contribute to core intelligence systems and GenAI initiatives
- A collaborative environment with opportunities for growth
- Remote work flexibility
Apply via Haystack today!
Key skills/competency
- Data Scientist
- Python
- AWS
- GenAI
- LLMs
- Recommendation Engines
- Data Wrangling
- Unstructured Data
- Talent Acquisition
- AI Solutions
Skills & topics
- Senior Data Scientist
- Data Science
- Python
- AWS
- GenAI
- LLM
- Recommendation Engine
- Machine Learning
- AI
- Talent Acquisition
- Data Mining
- Unstructured Data
- STEM
- Ph.D.
- Remote
How to get hired
- Tailor your resume: Highlight Python, AWS, GenAI, and recommendation engine experience.
- Showcase your expertise: Detail your STEM Master's/Ph.D. and data wrangling skills.
- Emphasize collaboration: Mention communication skills and a growth mindset.
- Apply directly: Submit your application through the Haystack platform.
Technical preparation
Master Python and AWS for data science.,Study GenAI, LLMs, and agentic architectures.,Practice data wrangling and unstructured data.,Build recommendation and matching systems.
Behavioral questions
Demonstrate strong communication and collaboration.,Showcase a proactive growth mindset.,Explain complex data insights clearly.,Collaborate effectively in a remote team.
Frequently asked questions
- What is the primary focus of the Senior Data Scientist role at Haystack?
- The Senior Data Scientist role at Haystack focuses on developing core intelligence systems and advanced AI solutions for talent acquisition, including building matching and recommendation engines, and contributing to GenAI initiatives.
- What technical skills are essential for this Senior Data Scientist position?
- Essential technical skills include 5+ years of experience in Python and AWS, strong data wrangling abilities, experience with unstructured data, and deep knowledge of GenAI, LLMs, and agentic architectures.
- Is this a remote position for the Senior Data Scientist role?
- Yes, the Senior Data Scientist position offers remote work flexibility, allowing candidates to work from anywhere.
- What kind of data will a Senior Data Scientist work with at Haystack?
- A Senior Data Scientist will work with both structured and unstructured data to mine actionable insights, particularly within the context of talent acquisition and matching platforms.
- What educational background is preferred for the Senior Data Scientist role?
- A STEM Master's or Ph.D. is preferred for the Senior Data Scientist role, indicating a strong foundation in relevant scientific and technical fields.
- How does Haystack use AI in talent acquisition?
- Haystack utilizes intelligent systems and advanced AI solutions to revolutionize talent acquisition by developing sophisticated platforms that connect talent with opportunities and derive insights from complex data.
- What are the career growth opportunities for a Senior Data Scientist at Haystack?
- The company offers a collaborative environment with opportunities for growth, allowing Senior Data Scientists to contribute to core intelligence systems and GenAI initiatives.