الوصف الوظيفي
Who we are:
Built by a passionate team of problem-solvers, Ajar is a mobile cloud service built for the real estate market in the MENA region that uses technology to offer a quick and efficient rent payment & collection solution as well as property management solution, making life easier and rewarding for both landlords and tenants. Ajar has also been quoted as UAE’s Most Trusted FinTech Solution Provider in 2020 by APAC Business Headlines. As a growing startup, we are excited to start expanding our team to grow our operations in UAE & Kuwait.
Ajar is an awarding-winning startup. Explore what we do in more detail on our website.
Job Duties and Responsibilities:
Lead the Data Team and data initiatives at Ajar.
Build data and analytics features with the product team to enhance Ajar’s product offering.
Build and maintain user tracking initiatives.
Guide machine learning efforts for customer and market prediction, including validating training data, establishing pipelines and metrics, and deploying and testing ML solutions.
Assist in designing and maintaining a data warehouse as well as other data infra that would be needed for dashboards, analysis, and roadmaps.
Partner closely with cross-functional teams to identify, define, collect, and track key business metrics for products or business processes.
Lead efforts to analyze data and report it to stakeholders.
Help define the metrics and KPIs for Ajar, and publish & communicate them on a regular basis.
Work with the executive management team to develop requirements, define success metrics, manage & execute analytical projects, and evaluate results.
Ensure high quality business reporting.
Collect and research data; quantitative, qualitative, trend and industry insights.
Analyze anomalies in data to help the team understand customer behavior, as well as the general business in a better way.
Detect and define new data collections and analyze opportunities.
Qualifications Required:
Bachelor’s Degree in Mathematics/Computer Science/Statistics/Economics or a related field OR equivalent professional experience. Masters in Machine Learning or Data Science/Engineering is a plus.
Proven work experience in complete data science/engineering process.
Experienced in programming languages: Python, SQL.
Experience with optimizing complex queries in PostgreSQL or similar
Experience with Google Cloud Platform or similar cloud hosting to build robust, reliable and scalable data systems.
Experience with Data Visualization.
Experience in building, training, and deploying Machine Learning models
Knowledge, Skills and Abilities:
Skilled in Financial transactions, and Real estate analytics.
Knowledge of data warehouse architecture.
Strong statistics skills such as distributions, statistical testing, regression, predictive analysis etc.
Experience with using Google Analytics to track and optimize user funnels and use cases.
Data oriented personality with excellent technical, problem solving and analytical skills.
Team player with very strong interpersonal skills.
Strong verbal and written communication skills with the ability to take a complex, ambiguous topic and turn it into a rigorously defined and well-formulated business solution and communicate the solution to the stakeholders in a clear and compelling way.
تفاصيل الوظيفة
منطقة الوظيفة دبي, الإمارات العربية المتحدة
قطاع الشركة الاستشارات الهندسية العامة
طبيعة عمل الشركة غير محدد
نوع التوظيف غير محدد
الراتب الشهري غير محدد
عدد الوظائف الشاغرة غير محدد
https://www.bayt.com/ar/uae/jobs/lead-data-scientist-engineer-68291726/