Data Scientist
نُشرت في :
13-03-2024
صاحب العمل نشط
1 وظيفة شاغرة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
الوصف الوظيفي
رقم الوظيفة : 2618452
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.
The core of Quant is Data Science and hence it requires highly capable individuals that can deliver the level of quality our clients have grown accustomed to and to have a mindset that s highly agile critical and curious. The Data Scientist is required to collect analyze and interpret large data sets in order to develop datadriven solutions insights and visualizations for difficult business challenges.
Job Responsibilities:
- Collaborate with key stakeholders to understand their needs and challenges through their data in order to devise potential solutions.
- Mine and analyze data from stakeholders databases in alignment with their requirements to conclude optimization recommendations.
- Research and develop statistical learning models for data analysis.
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
- Optimize joint development efforts through appropriate database use and project design.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Creating automated anomaly detection systems and constant tracking of its performance.
- Documenting reports and developing presentations that include the project deliverables findings and recommendations with key decision makers.
- Extending company s data with third party sources of information when needed.
- Staying uptodate with the latest technology trends.
Requirements
Academic Prerequisites:
Bachelors and/or Master s degree in Statistics Mathematics or another quantitative field and/or Computer Science.
Skills Required:
- proficiency in python.
- proficiency in data science frameworks such as scikitlearn tslearn scipy tensorflow pytorch etc
- Has sensible statistical knowledge.
- Experience in data visualization.
- Experience in analytics
- Good grasp of data engineering concepts and tools.
Skills Required:
- Experience in geospatial data and analytics.
- Experience and time series analytics.
- Experience in unsupervised machine learning.
- Experience in transactional databases.
- Experience in modelling.
- Experience in data engineering tasks.
Benefits
Company Sponsored Incentives:
The 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 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.
Academic Prerequisites: Bachelors and/or Master s degree in Statistics, Mathematics or another quantitative field and/or Computer Science. Skills Required: proficiency in python. proficiency in data science frameworks such as scikit-learn, ts-learn, scipy, tensorflow, pytorch, etc Has sensible statistical knowledge. Experience in data visualization. Experience in analytics Good grasp of data engineering concepts and tools. Skills Required: Experience in geospatial data and analytics. Experience and time series analytics. Experience in unsupervised machine learning. Experience in transactional databases. Experience in modelling. Experience in data engineering tasks.
نوع التوظيف
دوام كامل
المهارات المطلوبة
الإبلاغ عن هذه الوظيفة
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