Data Scientist

5 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Vettio Full time

We are seeking an innovative Senior Data Scientist to design and implement data-driven solutions addressing complex business challenges. This role demands creativity and extensive experience in data analysis, statistical modeling, machine learning, and data visualization. The successful candidate will collaborate with cross-functional teams to drive AI-driven improvements that enhance processes, reduce costs, and stimulate revenue growth.

Company Overview

Our client is a UAE-based venture builder and investor, dedicated to creating and supporting AI-first ventures that drive transformative change across various industries. With a focus on artificial intelligence, cybersecurity, Web 3.0, automotive technology, and retail innovation, our client partners with exceptional founders to develop scalable solutions that address global challenges and improve lives. Since its inception, the firm has committed significant investments to foster innovation and support early-stage startups, particularly in underserved markets such as MENA and Pakistan.

Key Responsibilities

  1. Data-Driven Solution Development: Lead the creation and implementation of advanced data-driven solutions for consumer intelligence. Collaborate with business stakeholders, product managers, software engineers, and data engineers to translate business needs into actionable AI solutions. Analyze business requirements to identify strategic opportunities for AI-driven enhancements in processes, cost reduction, and revenue growth.
  2. Model Design and Deployment: Develop and deploy sophisticated statistical models, machine learning algorithms, and predictive analytics to tackle complex business problems. Architect, develop, implement, and manage robust end-to-end machine learning pipelines, including model building, deployment, maintenance, and data quality assurance.
  3. Communication and Collaboration: Effectively communicate complex technical insights and recommendations to non-technical stakeholders, ensuring clarity and understanding. Collaborate and communicate with data analytics and cross-functional teams on various tasks.
  4. Continuous Learning and Integration: Stay abreast of advancements in data science, machine learning, and AI, proactively integrating new technologies and techniques into solutions. Adapt theoretical concepts and standardized techniques to address real-world problems.
  5. Statistical Analysis and Problem Solving: Perform statistical inference on large datasets to inform decisions and drive actions. Conduct in-depth analysis to identify and solve complex problems. Build predictive models to optimize agent and customer interactions.
  6. Leadership and Execution: Lead production activities on deployed accounts or execute deployment plans.

Candidate Profile

  • Education and Experience:
  • Bachelor's, Master's, or advanced training in applied mathematics, engineering, computer science, or a related field.
  • 4+ years of experience in machine learning and feature engineering.
  • Technical Skills:
  • Proficiency in programming languages such as Python.
  • Experience with big data tools and technologies (e.g., Spark, Hadoop).
  • Hands-on experience with machine learning frameworks like PyTorch or TensorFlow.
  • Experience with Azure Cloud Services.
  • Proficiency with Git, Jupyter, and Co-pilot.
  • Experience working with relational databases such as MongoDB, Oracle, SQL Server, or MySQL.
  • Familiarity with data cleaning, transformation, and validation processes.
  • Expertise in deep learning, Bayesian statistics, and hierarchical modeling.
  • Experience with DevOps CI/CD tools and automation processes.
  • Soft Skills:
  • Ability to work independently and manage multiple projects simultaneously.
  • Excellent written and verbal communication skills.
  • Strong problem-solving mindset.

Why Join Our Client?

Opportunity to work with a globally recognized leader in venture building and investment.

Exposure to innovative projects and cutting-edge technologies.

Collaborative and dynamic work environment that fosters personal and professional growth.

Competitive salary and benefits package.

If you are a data science professional with a passion for innovation and a desire to make a significant impact, we encourage you to apply

Seniority level

Not Applicable

Employment type

Full-time

Job function

Information Technology

Industries

IT System Data Services

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