Senior Data Scientist

Role Purpose:
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 dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 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, and hence it requires 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, meaning the Scientist will work on specific projects with defined goals and timelines. The Data Scientist is required to collect, analyze and interpret large data sets in order to develop data-driven solutions, insights, and visualizations for difficult 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 as required for specific projects and analysis.
Optimize collaborative development efforts through strategic database utilization and robust project design.
Enhance data collection procedures to ensure the inclusion of comprehensive information critical for advanced analytic systems.
Develop and maintain automated anomaly detection systems, ensuring rigorous performance monitoring and improvement.
Writing comprehensive reports and craft high-level presentations that clearly 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:
Bachelors 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, scipy etc.
Work experience in deep learning frameworks such as Pytorch, Tensorflow, Keras, etc.
Has a strong understanding of the fundamentals of machine learning, probability and statistics and algorithms.
Proficiency in SQL and experience with relational databases.
Experience in data visualisation tools such Matplotlib, Seaborn, Tableau and/or Power BI.
Excellent problem-solving and analytical abilities and attention to details.
Good grasp of data engineering and devOps concepts and tools and the best practices of software development.
Skills Preferred:
Experience in working 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:
The Senior Data Scientist could be eligible to be considered for numerous incentive mechanisms, being:
The Career Development Plan, where the Company supports the employee s growth by covering the expenses tied to gaining certificates that are pre-approved in accordance with the employee s career development plan.
The Profit Incentive Plan, comprised of a bonus payment pool based on the Company s generated revenue.
The Milestone Incentive Plan, awarded based on achievements relevant to enhancing the functions within your department or achieving a key Company goal. All of which will be awarded based on certain subjective criteria established by the Company s management.
Commission Plan, awarded based on certain subjective criteria further clarified in the commission policy set by the Company s management.
Employee Wellness, part of the company s culture is to promote wellness, best represented in the subsidies provided, such as healthy meal subscriptions, and discounts in numerous wellness and entertainment outlets.
Medical Insurance Plan
The Company provides a medical insurance plan as per Company policy. The current adopted medical insurance plan is provided by Bupa Medical Insurance, with the typical medical insurance plan being Premium 2.1. Further information regarding the policy may be provided upon request and provided policies may change according to vendor s change in their policy plan structures.
Leaves & Holidays Policy as per Saudi Labor laws, some of which being:
Annual Leave: 22 business days of paid Annual Leave per contract year.
Holidays: paid Holidays inclusive of Eid Al Fitr, Eid Al Adha, Saudi National Day and Saudi Founding Day.
Compassionate Leave: Paid Compassionate Leave of seven 7 calendar days, in the event of death of employee s parent, spouse, or child.
Sick Leave: Properly documented sick leave with full pay for up to 30 calendar days; and an additional 60 calendar days at 75% of salary, during each year of service.

Desired Candidate Profile

Education:
Any Graduation()
Gender:
nm
Nationality:
Any Nationality