# recruitment_jobposting

title: job1
job_type: FULL_TIME
workplace_type: ON_SITE
location_country: United States
application_url: https://test.com
internal_job_id: KAAUH-2025-0001
created_at: 2025-10-05 12:58:37.002293
updated_at: 2025-10-05 12:58:37.002306
status: DRAFT
slug: vKnZJxTK
description:
  We are looking for a highly skilled Senior Data Scientist to join our dynamic and growing analytics team. In this role, you will be responsible for leading complex data science projects from conception to deployment. You will leverage vast datasets to uncover critical insights, build sophisticated machine learning models, and directly influence our business strategy. This is a chance to work on high-impact projects and mentor a team of talented data professionals.

  Key Responsibilities:

  Design, develop, and deploy end-to-end machine learning models to address key business challenges in areas like customer analytics, operational efficiency, and predictive forecasting.

  Perform complex exploratory data analysis on large, diverse datasets to identify trends, patterns, and actionable insights.

  Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to define project requirements and deliver data-driven solutions.

  Communicate complex findings and the value of your work to both technical and non-technical audiences through clear visualizations and presentations.

  Develop and maintain robust data pipelines in collaboration with our data engineering team.

  Mentor junior data scientists, providing guidance on best practices, statistical techniques, and model development.

  Stay current with the latest advancements in AI, machine learning, and data science to drive innovation within the company.

qualifications:
  Required Qualifications (Must-Haves):

  Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.

  5+ years of hands-on experience in a data science or machine learning role.

  Expert proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

  Strong experience with SQL for querying and manipulating large datasets.

  Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Azure, or GCP).

  Solid understanding of statistical analysis, predictive modeling, and machine learning algorithms.

  Excellent problem-solving and communication skills.

  Preferred Qualifications (Nice-to-Haves):

  Experience with Large Language Models (LLMs) and generative AI applications.

  Familiarity with big data technologies like Apache Spark.

  Experience in the FinTech, E-commerce, or Energy sectors.

  Proficiency in data visualization tools like Tableau or Power BI.

  Proficiency in Arabic is a plus.


