Senior Data Scientist
SNEAK PEEK
Location: Israel hybrid
Interview process: Initial screening take-home data challenge (labeling & scoring) technical deep dive HR Interview.
Contact: For questions please reach out to:
WHO ARE WE
At Rounds we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative machine-learning technology identifies and optimizes mobile assets while our team of experts with their unparalleled human capital and business acumen provides the strategic direction and support to turn mobile assets into profitable businesses. Together we are revolutionizing the mobile industry. You can find out more info about us here: .
THE ROLE
We seek a high-impact Senior Data Scientist to lead our intelligent lead-generation and asset-evaluation engine. You will be the primary architect transforming raw data into a streamlined onboarding funnel directly boosting the companys bottom line.
Your core mission is to set the technical North Star for our modeling strategy designing frameworks to shorten due diligence from weeks to days. This is a leadership role deciding what to build to ensure product teams work with the most accurate high-probability leads.
Key Opportunities:
- Own the ML implementation roadmap deciding on model architecture and deployment.
- Solve a core business challenge by automating complex due diligence via feature-based classification.
- Build a sophisticated self-evolving system using continuous time-based learning.
- Bridge engineering and business empowering Sales and Product teams with key logic.
Hiring manager: Hannan Kravitz Head of Data Engineering and Science
Requirements:
WHAT ARE WE LOOKING FOR
Must-have:
- 3 years of experience
- Expertise in developing sophisticated complex scoring mechanisms for asset quality.
- Deep understanding of time-based learning and robust drift management to maintain model integrity and accuracy.
- Ability to translate business goals into a strategic data-driven technical roadmap that maximizes operational efficiency (e.g. reducing due diligence via feature-based automation).
- Expert-level skills in the modern machine learning ecosystem (MLOps proficiency) (e.g. Scikit-learn XGBoost PyTorch TensorFlow Pandas BERT).
- Ability to communicate fluently in English.
Nice-to-have:
- Experience working with BigQuery and understanding how to pull/clean scraped data at scale.
- Familiarity with app features and store metadata.
- Experience setting up automated pipelines for model re-training.
INTERESTED
Our recruitment process consists of the following steps:
- Phone Screen
- Technical Interview ML Case Study (Focusing on Classification & Scoring)
- Technical Assessment
- Architecture & Strategy Interview with Head of Data Solutions and VP Data.
- HR Interview
Get in touch at . We look forward to hearing from you!
Senior Data ScientistSNEAK PEEK Location: Israel hybrid Interview process: Initial screening take-home data challenge (labeling & scoring) technical deep dive HR Interview. Contact: For questions please reach out to: WHO ARE WEAt Rounds we believe in harnessing the power of cutting-edge technolog...
Senior Data Scientist
SNEAK PEEK
Location: Israel hybrid
Interview process: Initial screening take-home data challenge (labeling & scoring) technical deep dive HR Interview.
Contact: For questions please reach out to:
WHO ARE WE
At Rounds we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative machine-learning technology identifies and optimizes mobile assets while our team of experts with their unparalleled human capital and business acumen provides the strategic direction and support to turn mobile assets into profitable businesses. Together we are revolutionizing the mobile industry. You can find out more info about us here: .
THE ROLE
We seek a high-impact Senior Data Scientist to lead our intelligent lead-generation and asset-evaluation engine. You will be the primary architect transforming raw data into a streamlined onboarding funnel directly boosting the companys bottom line.
Your core mission is to set the technical North Star for our modeling strategy designing frameworks to shorten due diligence from weeks to days. This is a leadership role deciding what to build to ensure product teams work with the most accurate high-probability leads.
Key Opportunities:
- Own the ML implementation roadmap deciding on model architecture and deployment.
- Solve a core business challenge by automating complex due diligence via feature-based classification.
- Build a sophisticated self-evolving system using continuous time-based learning.
- Bridge engineering and business empowering Sales and Product teams with key logic.
Hiring manager: Hannan Kravitz Head of Data Engineering and Science
Requirements:
WHAT ARE WE LOOKING FOR
Must-have:
- 3 years of experience
- Expertise in developing sophisticated complex scoring mechanisms for asset quality.
- Deep understanding of time-based learning and robust drift management to maintain model integrity and accuracy.
- Ability to translate business goals into a strategic data-driven technical roadmap that maximizes operational efficiency (e.g. reducing due diligence via feature-based automation).
- Expert-level skills in the modern machine learning ecosystem (MLOps proficiency) (e.g. Scikit-learn XGBoost PyTorch TensorFlow Pandas BERT).
- Ability to communicate fluently in English.
Nice-to-have:
- Experience working with BigQuery and understanding how to pull/clean scraped data at scale.
- Familiarity with app features and store metadata.
- Experience setting up automated pipelines for model re-training.
INTERESTED
Our recruitment process consists of the following steps:
- Phone Screen
- Technical Interview ML Case Study (Focusing on Classification & Scoring)
- Technical Assessment
- Architecture & Strategy Interview with Head of Data Solutions and VP Data.
- HR Interview
Get in touch at . We look forward to hearing from you!
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