Senior Data Scientist [Relocate to Riyadh]

Talent Seed

France

Sur place

EUR 51 519 - 85 866

Plein temps

14 jours+

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Résumé du poste

A leading fintech company is seeking a Senior Data Scientist in Riyadh to develop data-driven models that enhance product offerings. This role requires strong coding in Python and a keen ability to translate data into actionable insights. The successful candidate will collaborate with cross-functional teams and mentor peers while staying updated on the latest AI trends.

Qualifications

Five years experience in data science with strong coding skills.
Solid understanding of machine learning algorithms and tools.
Experience in leading data-driven projects and mentoring peers.

Responsabilités

Developing machine learning models to solve complex business challenges.
Translating business problems into technical solutions and insights.
Collaborating with engineering and product teams to deliver analytics solutions.

Connaissances

Python

Machine Learning

Data Analysis

Data Visualization

Cloud Services

Formation

Bachelor’s degree in Computer Science, Statistics, Mathematics, or Engineering

Master’s degree in relevant field (preferred)

Outils

Pandas

NumPy

Scikit-Learn

TensorFlow

PyTorch

SQL

Tableau

Description du poste

Senior Data Scientist [Relocate to Riyadh]

*Riyadh Based* - This role requires relocation to Riyadh, KSA

Our fintech client seeks a Senior Data Scientist with a passion for data and at least 5 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions.

Key Responsibilities:

Develop and deploy machine learning models and algorithms to address complex business challenges.
Translate intricate business problems into technical solutions.
Write clean, modular, and scalable code suitable for production environments.
Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling.
Analyze extensive, complex datasets to extract insights and communicate results effectively.
Innovate new modelling and machine learning approaches to enhance existing processes and capabilities.
Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions.
Mentor peers in data science and model development, promoting best practices.
Remain abreast of the latest technologies and trends in artificial intelligence and machine learning.

Required Qualifications:

Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
5+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python.
Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL.
Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations.
Solid understanding of data structures, data modelling, and software architecture.
Experience with cloud services (such as AWS) and tools for machine learning projects.
Strong analytical skills with an aptitude for problem-solving and innovation.
Experience working in cross-cultural and cross-functional teams, ideally in a product company.

Preferred Qualifications:

A Master’s or higher in a relevant field to deepen theoretical knowledge and practical skills.
Experience with AWS or other cloud technologies for model training and deployment.

Seniority level