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Salary
up to $48k per year
Location
In office (Riyadh)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Overview
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Jobs for Humanity is a New York based non-profit recruiting organisation founded in 2020 that connects historically underrepresented candidates with employers committed to inclusive hiring. It works with refugees, people with disabilities, neurodivergent candidates, formerly incarcerated people, returning parents and older workers, running job boards, hiring events and coaching alongside advisory work that helps companies rewrite job descriptions and interview processes. The organisation aggregates and reposts a very large number of partner vacancies, which is why it appears as the poster of record on listings that belong to its client employers.

Jobs for Humanity is partnering with test_recoird to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name: test_recoird

Develop and deploy data-driven models and insights to improve business decisions, optimize performance, and drive measurable growth.

Key Performance Indicators:

  • Build accurate predictive models
  • Deliver actionable insights to stakeholders
  • Automate analytics and reporting workflows
  • Improve model performance and reliability
  • Monitor pipelines and maintain production ML

Qualifications:

  • Bachelor’s or Master’s in Data Science, CS, Statistics, or related field
  • 2+ years experience with machine learning/data science
  • Strong mathematics, statistics, and experimental design
  • Proficiency with Python and data wrangling
  • Experience deploying ML models to production

Required Qualifications

  • Bachelor’s or Master’s in Data Science, CS, Statistics, or related field
  • 2+ years experience with machine learning/data science
  • Strong mathematics, statistics, and experimental design
  • Proficiency with Python and data wrangling
  • Experience deploying ML models to production
  • Python
  • SQL
  • Machine learning
  • Statistics and A/B testing
  • Data visualization
  • Big data tools (Spark)
  • MLOps (model deployment, monitoring)
  • Problem-solving
  • Clear communication
  • Stakeholder management
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