Senior Data Scientist

About the Job
Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented team possesses unique expertise, enabling us to achieve a track record of analyzing more than a trillion data records and serving hundreds of clients across over 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.

The core of Quant is Senior Data Science, requiring highly capable individuals who can deliver the level of quality our clients have grown accustomed to, and to have a mindset that’s highly agile, critical, and curious. This is a project-based role, where the Senior Data Scientist will work on specific projects with defined goals and timelines. The role involves collecting, analyzing, and interpreting large data sets to develop data-driven solutions, insights, and visualizations for challenging business challenges.

Job Responsibilities:

• Collaborate with executive stakeholders to understand strategic needs and challenges through data, devising sophisticated solutions to drive business impact.
• Lead the mining and analysis of data from various databases, ensuring alignment with organizational objectives to derive actionable optimization recommendations.
• Research, develop, and implement advanced statistical learning models for in-depth data analysis and predictive insights.
• Introduce and integrate cutting-edge statistical and mathematical methodologies for specific projects and analyses.
• Optimize collaborative development efforts through strategic database utilization and robust project design.
• Enhance data collection procedures to ensure comprehensive information inclusion critical for advanced analytic systems.
• Develop and maintain automated anomaly detection systems, ensuring rigorous performance monitoring and improvement.
• Write comprehensive reports and craft high-level presentations that communicate project deliverables, findings, and strategic recommendations to key decision makers.
• Integrate external third-party data sources to enrich company data and augment analytical capabilities.
• Stay abreast of emerging technologies and industry trends, driving continuous innovation within the data science team.

Requirements:

Academic Prerequisites:

• Bachelor’s and/or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or another quantitative field.

Skills Required:

• A minimum of four years of comprehensive experience in data science, including demonstrated success in leading projects.
• Strong proficiency in Python programming and data science frameworks such as scikit-learn, pandas, numpy, and scipy.
• Work experience in deep learning frameworks such as Pytorch, Tensorflow, and Keras.
• Strong understanding of the fundamentals of machine learning, probability, statistics, and algorithms.
• Proficiency in SQL and experience with relational databases.
• Experience in data visualization tools such as Matplotlib, Seaborn, Tableau, and/or Power BI.
• Excellent problem-solving and analytical abilities with attention to detail.
• Good grasp of data engineering and DevOps concepts and tools, along with best practices in software development.

Skills Preferred:

• Experience in geospatial data analytics and time series forecasting.
• Familiarity with big data frameworks like Hadoop or Spark.
• Experience in computer vision libraries and frameworks such as OpenCV, scikit-image, or SimpleCV.
• Familiarity with advanced computer vision techniques such as object detection, image segmentation, and facial recognition.
• Understanding of NLP, graph neural networks, and reinforcement learning fundamentals.

Benefits:

• Company Sponsored Incentives: Eligibility for various incentive mechanisms, including a career development plan for gaining pre-approved certificates, a profit incentive plan based on company revenue, and a milestone incentive plan for departmental achievements.
• Employee Wellness: Subsidies for healthy meals and discounts at wellness and entertainment outlets.
• Medical Insurance: Coverage provided by Bupa Medical Insurance (Premium 2.1).
• Leaves & Holidays: Includes 22 business days of paid annual leave, paid holidays for significant cultural events, and compassionate and sick leave policies as per Saudi Labor laws.
• Employee Allowances: Housing (25% of basic salary), transportation (15% of basic salary), and communication allowances (10% of basic salary) available to employees who do not receive these benefits directly from the company.