inDrive

Role Description We are searching for a Moderator of Orders Feed to join our team in Kazakhstan. Key Responsibilities - Moderation system monitoring. - Blocking users who violate the rules of the service. - Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.). - Keeping track of inappropriate orders in Google Sheets as required. - Compiling a list of words for censorship. - Conducting labeling of various datasets. - Other relevant tasks as required. Qualifications - Kazakh Language: Native. - PC knowledge: confident user. - Strong cultural background. Benefits - Schedule 6/1 (day/evening, 12:00-18:00 / 18:00-00:00), 6 hour shifts. - Fixed rate of payment: 890 tenge per hour (before taxes). - 100% remote work format.

Role Description As an Online Checkout Specialist, you will play a key role in the driver onboarding process by conducting final reviews of driver applications before they are approved for platform access. Your responsibilities will include: - Verifying documentation - Ensuring compliance with local and internal standards - Identifying any inconsistencies or risks This position requires attention to detail, strong decision-making skills, and the ability to work efficiently in a high-volume, fast-paced environment. Qualifications - Strong attention to detail - Ability to make quick, well-reasoned decisions - Spanish language (A2-B1) - Comfortable working with digital tools and databases - Flexibility to work in shifts, including weekends or holidays if required - Stable internet connection Requirements - Review driver applications and submitted documents during the final stage of verification - Validate the authenticity and accuracy of driver licenses, IDs, vehicle documents, and other required materials - Ensure that all applications meet internal and regional compliance standards - Contribute to the continuous improvement of verification policies and procedures - Meet daily performance and quality targets Company Description

Role Description We are looking for QA Engineers to join the inDrive team. You will work in key product areas and have a direct impact on the company’s core business metrics. We have cross-functional teams where QA closely collaborates with engineering, product, and analytics throughout the entire feature delivery lifecycle. The main focus is on mobile and backend testing, including complex integrations, API validation, and high-load services. We value an engineering mindset toward quality, proactivity, and the ability to improve processes rather than just finding bugs. Key Responsibilities - Build testing frameworks and transition existing systems to new technologies - Design and upkeep tools for QA engineers, ensuring the reliability of testing infrastructure - Monitor and maintain the testing infrastructure, including alerting systems for timely issue detection - Develop strategies and metrics for manual testing, and document test cases for internal and external testers - Track quality metrics in Tableau and automate routine tasks using tools like Zapier, Jira Automation, and ChatGPT - Work with TechOps and other teams to implement quality management processes and improve testing workflows Qualifications - 3+ years as a QA Automation Engineer and 1+ years in mobile app testing (iOS and Android) - Proficiency in automated testing systems (e.g., Appium, Kotlin, Java, Selenium) and familiarity with client-server principles - Hands-on experience with Android/iOS testing, including emulators, traffic sniffing, and OS-specific testing - Competency in API testing (e.g., Postman), database operations (CRUD), and basic command-line tools (bash/zsh) - At least 2 years of experience in a Lead QA role and experience in implementing new testing processes - Strong teamwork and familiarity with TMS (e.g., TestOps), Jira, Slack, Git/Github Benefits - Stable salary, official employment - Health insurance - Remote work and flexible schedule - Access to professional counseling services including psychological, financial, and legal support - Discount club membership - Diverse internal training programs - Partially or fully paid additional training courses - All necessary work equipment

Role Description We are looking for a Senior Data Scientist to join our GeoData team. You will drive architectural decisions, ensure high performance and reliability, mentor engineers, and work closely with product and backend teams to deliver scalable solutions from discovery to release. Key Responsibilities - Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance. - Translate complex business goals into well-defined data science problems and quantifiable metrics. - Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines. - Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure. - Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance. - Support the development and growth of other team members through mentorship and participation in onboarding programs. - Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact. - Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical stakeholders. Qualifications - Previous experience in a data science or machine learning role. - An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus. - Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch). - Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields. - Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment. - Proven experience with event systems, deployment environments, and maintaining production services. - Familiarity with technologies for streaming, batch, and async data processing. - Proficiency in at least one specialized ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks). - Strong understanding of software system design principles and the ability to contribute to architectural discussions. - Experience in experimental design to validate hypotheses and measure the effectiveness of solutions. - A solid grasp of security, risk, and control concepts in a production environment. Benefits - Stable salary, official employment. - Health insurance. - Remote work and flexible schedule. - Access to professional counseling services including psychological, financial, and legal support. - Discount club membership. - Diverse internal training programs. - Partially or fully paid additional training courses. - All necessary work equipment.

Role Description We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model, where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities - Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling - Frame pricing as a decision system under uncertainty and delayed feedback - Develop, test, and deploy real-time pricing algorithms - Design and analyze A/B experiments to evaluate pricing impact - Productionize models in collaboration with engineering, ensuring scalability and robustness - Monitor system performance, including stability, feedback effects, and long-term behavior - Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Qualifications - 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems - Strong background in statistics, optimization, and causal inference - Proven ability to move from problem formulation to production-grade solutions - Proficiency in Python, SQL, and experience with production ML systems Nice to Have - Experience with economic modeling (elasticity, auctions, policy design) - Familiarity with control systems, RL, or online optimization - Experience working with real-time, high-load systems Requirements - Stable salary, official employment - Remote work mode and flexible schedule - Access to professional counseling services, including psychological, financial, and legal support - Diverse internal training programs - Partially or fully paid additional training courses - All necessary work equipment

QA Engineer Department: Directorate of Business Platform Employment Type: Full Time Location: Egypt Description We are looking for a QA Engineer with experience testing applications built with Java/Kotlin. We expect a systematic approach, strong attention to detail, and the ability to collaborate effectively with the development team. Key Responsibilities - Build testing frameworks and transition existing systems to new technologies - Design and upkeep tools for QA engineers, ensuring the reliability of testing infrastructure - Monitor and maintain the testing infrastructure, including alerting systems for timely issue detection - Develop strategies and metrics for manual testing, and document test cases for internal and external testers - Track quality metrics in Tableau and automate routine tasks using tools like Zapier, Jira Automation, and ChatGPT - Work with TechOps and other teams to implement quality management processes and improve testing workflows Skills, Knowledge and Expertise - 3+ years as a QA Automation Engineer and 1+ years in mobile app testing (iOS and Android) - Proficiency in automated testing systems (e.g., Appium, Kotlin, Java, Selenium) and familiarity with client-server principles - Hands-on experience with Android/iOS testing, including emulators, traffic sniffing, and OS-specific testing - Competency in API testing (e.g., Postman), database operations (CRUD), and basic command-line tools (bash/zsh) - At least 2 years of experience in a Lead QA role and experience in implementing new testing processes - Strong teamwork and familiarity with TMS (e.g., TestOps), Jira, Slack, Git/Github Conditions & Benefits - Stable salary, official employment - Health insurance - Remote work mode and flexible schedule - Access to professional counseling services including psychological, financial, and legal support - Discount club membership - Diverse internal training programs - Partially or fully paid additional training courses - All necessary work equipment

Role Description The Workforce Management (WFM) Operations Specialist is responsible for developing accurate forecasting models, optimizing staffing plans, and ensuring operational efficiency across the assigned Lines of Support (LoS). This role plays a key part in aligning workforce capacity with business demand while maintaining high service levels and cost efficiency. Key Responsibilities - Develop and maintain forecasting and scheduling plans using efficient and accurate workforce models to support business objectives. - Monitor intraday performance and optimize agent schedules to ensure effective coverage across all Lines of Support (LoS). - Analyze and manage variances between staffing supply and demand, providing actionable adjustment solutions. - Forecast future contact volumes and staffing requirements using historical data and trends. - Identify opportunities to improve service levels, operational efficiency, and resource utilization. - Produce detailed reports, charts, and graphs for data visualization to support decision-making. - Monitor and analyze key performance metrics (service level, occupancy, utilization, shrinkage, attrition, absenteeism). - Provide data-driven recommendations to improve operational performance and workforce efficiency. - Calculate and evaluate key customer support metrics such as contact rate, cost per contact, and cost breakdowns across regions and LoS. - Support BPO workforce planning by managing staffing levels and aligning resources with forecast targets. - Optimize the possible handled volume for all channels to ensure the forecast is met within predetermined KPIs and the optimal allocation of skills. - Continuously enhance knowledge of WFM tools, methodologies, and best practices, contributing to ongoing process improvements. - Collaborate closely with regional and local stakeholders on workforce management and operational initiatives. Qualifications - Preferably business education/desirably work experience in Customer Service Centers/WFM/Data Analytics. - Understanding of contact center metrics and operational KPIs, preferably in the Ride Hailing industry. - Ability to work in a fast-paced, dynamic environment. - Proficiency in data analysis and reporting tools (e.g., Excel, BI tools, WFM systems). - Technical proficiency in Google Suite/MS Office tools. - Preferably experience in scheduling/capacity planning. - Experience with any planning/scheduling software beneficial. - Ability to interpret data and translate insights into actionable strategies. - Good command of English (spoken and written) is mandatory. - High communication and interpersonal skills. - High resilience and flexibility. - Team orientation. - Strong analytical and problem-solving skills. - Structured, result-driven approach and a high level of initiative. - Attention to detail and accuracy. - Ability to analyze critical situations in the context of operational planning with the aim to present solutions. - Ability to interpret complex contractual facts in regards to the components of WFM cycle. Benefits - Stable salary and official employment. - Health insurance. - Fully remote mode. - All necessary work equipment will be provided. - Partially or fully paid additional training courses. - Diverse internal training programs. - Relocation package for candidates from other regions. - Access to professional counselling services including psychological, financial, and legal support.