{"id":85894,"date":"2026-03-19T21:11:30","date_gmt":"2026-03-19T17:11:30","guid":{"rendered":"https:\/\/herecareers.com\/job\/data-scientist-risk\/"},"modified":"2026-03-19T21:11:31","modified_gmt":"2026-03-19T17:11:31","slug":"data-scientist-risk","status":"publish","type":"job_listing","link":"https:\/\/herecareers.com\/ar\/job\/data-scientist-risk\/","title":{"rendered":"Data Scientist (Risk)"},"content":{"rendered":"<div><a href=\"https:\/\/himalayas.app\/companies\/tabby\" rel=\"nofollow noopener\" target=\"_blank\">Tabby<\/a> creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose <a href=\"https:\/\/himalayas.app\/companies\/tabby\" rel=\"nofollow noopener\" target=\"_blank\">Tabby<\/a> to stay in control of their spending and make the most out of their money.<\/div>\n<div>The company\u2019s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use <a href=\"https:\/\/himalayas.app\/companies\/tabby\" rel=\"nofollow noopener\" target=\"_blank\">Tabby<\/a> to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.<\/p>\n<div><a href=\"https:\/\/himalayas.app\/companies\/tabby\" rel=\"nofollow noopener\" target=\"_blank\">Tabby<\/a> generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.<\/p>\n<div><a href=\"https:\/\/himalayas.app\/companies\/tabby\" rel=\"nofollow noopener\" target=\"_blank\">Tabby<\/a> launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.<\/p>\n<p>We are seeking a highly skilled and motivated <strong>Data Scientist<\/strong> to join our <strong>Data Science stream<\/strong> in the <strong>Risk Department<\/strong>. In this role, you will work on both operational model lifecycle tasks and next-generation ML initiatives, including hybrid modeling, behavioral modeling, and automation of our ML workflows. You\u2019ll work in a dynamic and fast-paced environment, contributing to projects that directly impact our risk decisioning capabilities and future ML stack.<\/div>\n<h3>\u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629<\/h3>\n<div>\n<ul>\n<li>Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.<\/li>\n<li>Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.<\/li>\n<li>Build and manage scalable data marts in BigQuery to support model development and analytical needs.<\/li>\n<li>Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).<\/li>\n<li>Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.<\/li>\n<li>Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).<\/li>\n<\/ul>\n<\/div>\n<h3>Skills, Knowledge &amp; Expertise<\/h3>\n<div>\n<ul>\n<li>At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.<\/li>\n<li>Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).<\/li>\n<li>Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.<\/li>\n<li>Advanced knowledge of SQL, with the ability to work effectively with large datasets.<\/li>\n<li>Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.<\/li>\n<li>Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.<\/li>\n<li>Fluency in English<\/li>\n<\/ul>\n<h3>Nice to have:<\/h3>\n<ul>\n<li>Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.<\/li>\n<li>Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.<\/li>\n<li>Prior experience working with financial datasets and a strong understanding of risk management principles.<\/li>\n<\/ul>\n<\/div>\n<h3>\u0645\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0639\u0645\u0644<\/h3>\n<div>\n<ul>\n<li>Full-time B2B contract<\/li>\n<li>Fully remote setup<\/li>\n<li>Up to 20% tax allowance<\/li>\n<li>22 paid leave days annually<\/li>\n<li>Stock options (ESOP) in a fast-scaling, pre-IPO company<\/li>\n<li>Flexi benefits you can use for wellness, travel, or learning<\/li>\n<li>Work alongside a high-performing, international engineering team in a global fintech unicorn<\/li>\n<\/ul>\n<div><em><br \/>Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, legal setup (if needed)<\/em><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>Originally posted on <a href=\"https:\/\/himalayas.app\" rel=\"nofollow noopener\" target=\"_blank\">Himalayas<\/a><\/p>","protected":false},"author":100,"featured_media":0,"comment_status":"open","ping_status":"open","template":"","job_listing_type":[1174],"job_listing_category":[1856],"job_listing_location":[],"job_listing_tag":[],"class_list":["post-85894","job_listing","type-job_listing","status-publish","hentry","job_listing_type-remote","job_listing_category-data-science"],"metas":{"_job_featured_image":"","_job_featured":"","_job_filled":"","_job_urgent":"","_job_category":{"1856":"Data-Science"},"_job_type":{"1174":"Remote"},"_job_tag":[],"_job_expiry_date":"","_job_gender":"","_job_apply_type":"external","_job_phone":"","_job_apply_url":"https:\/\/himalayas.app\/companies\/tabby\/jobs\/data-scientist-risk","_job_apply_email":"","_job_salary_type":"","_job_salary":"","_job_experience":"","_job_career_level":"","_job_qualification":"","_job_video_url":"","_job_photos":"","_job_application_deadline_date":"","_job_address":"","_job_location":[],"_job_map_location":{"address":"","latitude":"","longitude":""},"_job_logo":"https:\/\/herecareers.com\/wp-content\/uploads\/wp-job-board-pro-uploads\/_employer_featured_image\/2025\/11\/ICON-Here-Careers-Logo-150-150x150.png","_job_employer_name":"HR","_job_employer_url":"https:\/\/herecareers.com\/ar\/employer\/hr\/"},"cmb2":{"_job_careerjet_job_fields":{"_job_careerjet_detail_url":"","_job_careerjet_company_name":""}},"_links":{"self":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing\/85894","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing"}],"about":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/users\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/comments?post=85894"}],"wp:attachment":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/media?parent=85894"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_type?post=85894"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_category?post=85894"},{"taxonomy":"job_listing_location","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_location?post=85894"},{"taxonomy":"job_listing_tag","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_tag?post=85894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}