Head of Data Science

4 weeks ago

Riyadh, Saudi Arabia Quant Full time
Job Role:

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 datadriven economies.

We are seeking a highly skilled and experienced Head of Data Science to lead our data science team. The ideal candidate will have a deep handson background in data analysis and artificial intelligence with a focus on developing additional data layers and AI models. This role is crucial for driving innovation and implementation of datadriven strategies within our organization.

Key Responsibilities:

Leadership and Team Management:
  • Lead mentor and grow a team of data scientists and analysts.
  • Foster a culture of innovation and continuous learning within the team.
Data Analysis and Model Development:
  • Handson involvement in designing developing and implementing complex data analysis projects.
  • Develop and enhance AI models to improve decisionmaking automate processes and drive efficiencies.Work closely with different departments to understand their data needs and provide strategic guidance.
Data Sets Development:
  • Lead initiatives to develop additional data sets that enhance the organization s data supply.
  • Ensure the integration of new data sources and the scalability of our data platforms.
Strategic Planning:
  • Develop and execute a longterm vision for the data science department.
  • Align data science initiatives with business goals and objectives.
Research and Innovation:
  • Stay abreast of the latest trends and technologies in data science and AI.
  • Lead research initiatives to explore new methodologies and tools in data analysis and AI.



Requirements

Preferred Certifications:

Master s degree in Data Science Computer Science Statistics or a related field.

Qualifications:

  • Minimum of 10 years of experience in data science with a leadership background.
  • Indepth knowledge of ETL (Extract Transform Load) processes and tools.
  • Proficiency in cloud platforms like AWS and Azure including Azure Data Factory.
  • Experience with workflow management tools such as Apache Airflow.
  • Familiarity with AI platforms and studios for model development and deployment.
  • Extensive knowledge of various database technologies including graph and columnar databases.
  • Strong skills in machine learning AI model development and data analysis.
  • Demonstrated ability to lead successful data science projects and teams.


BenefitsCompany Sponsored Incentives:

The Head of Data Science 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 preapproved 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.

Employee Allowances
As an employee of the Company you will be eligible to participate in multiple Companysponsored benefits and allowances including:

Housing Allowance
Employees who do not receive housing by the Company receive a Housing Allowance of 25% of the employees basic salary.

Transportation Allowance
Employees who do not receive transportation means by the Company receive a Transportation Allowance of 15% of the employees basic salary.

Communication Allowance
Employees who do not receive communication means by the Company receive a Communication Allowance of 10% of the employees basic salary.

Preferred Certifications: Master s degree in Data Science, Computer Science, Statistics, or a related field. Qualifications: Minimum of 10 years of experience in data science, with a leadership background. In-depth knowledge of ETL (Extract, Transform, Load) processes and tools. Proficiency in cloud platforms like AWS and Azure, including Azure Data Factory. Experience with workflow management tools such as Apache Airflow. Familiarity with AI platforms and studios for model development and deployment. Extensive knowledge of various database technologies, including graph and columnar databases. Strong skills in machine learning, AI model development, and data analysis. Demonstrated ability to lead successful data science projects and teams.

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