data engineer

analytics engineer ii

data analyst

senior data scientist

senior fullstack developer

senior data analyst

RATP Dev

<div><h2 class="jobSectionHeader">Sr Client Data Analyst</h2><div><ul><li><div>
Fixed-term contract</div></li><li><div>
Full-time</div></li><li><div>
At least 5 years of experience (Senior level)</div></li><li><div>
Bachelor degree</div></li><li><div>
Accounting Specialist</div></li></ul></div></div>
 <div><div><div><div><h2 class="jobSectionHeader">Mission
</h2><div>JOB PURPOSE:
The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.</div></div><div><h2 class="jobSectionHeader">
Profile
</h2><div>RESPONSIBILITIES/DUTIES
Advanced Financial Analytics &amp; Risk Mitigation<ul><li> Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.</li><li> Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.</li><li> Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.</li><li> Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.</li></ul>
Strategic Reporting &amp; Digital Transformation<ul><li> Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.</li><li> Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.</li><li> Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.</li><li> Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.</li></ul>
Cross-Functional Leadership &amp; Operational Excellence<ul><li> Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.</li><li> Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.</li><li> Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.</li><li> Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.</li></ul>
Safety Responsibilities:<ul><li> Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.</li><li> Comply with the requirements of RDMC RQHSE Policy and Safety Management System.</li><li> Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.</li></ul>
ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
QUALIFICATIONS:<ul><li> Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.</li><li> Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.</li></ul>
KNOWLEDGE:<ul><li> Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.</li><li> Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.</li><li> Deep knowledge of data privacy laws.</li></ul>
EXPERIENCE:<ul><li> 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.</li></ul>
DESIRED BEHAVIORS &amp; EXPERIENCES<ul><li> Proven track record of transforming &quot;raw data&quot; into clean, executive-ready narratives that drive decision-making.</li><li> Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.</li><li> A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.</li><li> High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.</li><li> High level of professionalism, ethical conduct, and integrity.</li></ul></div></div></div></div><div><div><div><h3 class="jobSectionHeader">
Location</h3><div><div><div>
Location</div></div><div>
Address</div></div>
Cairo, Cairo, Egypt</div></div></div></div><div></div>

Sr Client Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Boubyan Digital Factory

<div>
 
 
 Role Description:
 
 
 
 The data analyst will join the team to work to identify patterns of behavior and ensure methods of
 
 
 data ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyze and report on data and metrics relating to operations and mitigations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators. Working with stakeholders in each agile squad to provide insights and present findings to optimize performance by articulating these findings to diverse audiences in a clear, effective manner.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 As you will expect the support a growing business needs is broad, but we hope that the following gives you an idea of the main focus of your attention
 
 <ul>
 <li>
 Managing master data, including creation, updates, and deletion.
 </li>
 <li>
 Managing users and user roles.
 </li>
 <li>
 Provide quality assurance of imported data, working with quality assurance analyst if necessary.
 </li>
 <li>
 Commissioning and decommissioning of data sets.
 </li>
 <li>
 Processing confidential data and information according to guidelines.
 </li>
 <li>
 Data management and ownership: You'll be processing varied data sources including recoding/transforming data, merging and cleaning, weighting etc. to enable us to deliver exceptional data clarity to our clients. You will need to &lsquo;own&rsquo; the data and know it inside and-out.
 </li>
 <li>
 Cross-function collaboration: As the primary &lsquo;owner&rsquo; of the valuable data we collect, you&rsquo;ll need to collaborate with multiple teams.
 </li>
 <li>
 Dive into large, complex datasets and turn your findings into strategies that drive decisions at every company level.
 </li>
 <li>
 Drive continuous improvement initiatives by proactively monitoring performance metrics and conducting in-depth analyses to identify areas for optimization.
 </li>
 <li>
 Champion a culture of data-driven decision-making, empowering teams to leverage insights from analytics to iterate rapidly and contribute to exceptional user experiences.
 </li>
 <li>
 Process improvements: Proactively identifying opportunities to improve efficiencies in these tasks and supporting the implementation of these improvements.
 </li>
 <li>
 Translate intricate data insights into practical business strategies and articulate these findings to diverse audiences in a clear, effective manner
 </li>
 <li>
 .Strategically assess stakeholder requests, priorities based on value, and innovate data driven solutions to enhance decision-making.
 </li>
 <li>
 Strong data, reasoning and analytical skills are essential.
 </li>
 </ul>
 
 
 
 
 
 .
 
 
 
 
 Skills &amp; Experience:
 
 
 <ul>
 <li>
 Will have at least minimum financial services based, data analytics experience.
 </li>
 <li>
 Preferably experience within the fraud and financial crime domain, or card payments.
 </li>
 <li>
 Key tools for Data Analytics understanding: SQL, Tableau, R, Python.
 </li>
 <li>
 You will be comfortable with data querying (relational databases and data lakes using SQL), data interchange (CSV, JSON etc), data analysis (such as Excel and BI tools, maybe even Access), data management and processing using at least simple Python scripts and notebooks (Pandas, NumPy etc).
 </li>
 <li>
 Will have experience working with multiple and large unstructured datasets.
 </li>
 <li>
 The adaptability and eagerness to learn new technologies on the job.
 </li>
 <li>
 You can simplify complex data insights for anyone to understand, whether they're tech-savvy or not.
 </li>
 <li>
 Start-up attitude &ndash; You&rsquo;ll be comfortable in a rapidly changing environment, working with limited resources, and delivering high-quality work at the speed which is necessary for successful business growth. You&rsquo;ll be a self-starter who doesn&rsquo;t need much guidance, who can think fast on their feet and are ready to pivot when required.
 </li>
 <li>
 Familiarity with data tools like Mode, Athena is advantageous.
 </li>
 <li>
 Project and workstream management tools (e.g. JIRA and Confluence) is desirable.
 </li>
 <li>
 The more experience you have with data visualization the better (but it's not a requirement of the role like Tableau, Looker, PowerBI and etc)
 </li>
 </ul>
</div>

Sr Data Analyst

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Vodafone

<div>
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 
 
 
 Role Purpose
 
 
 
 Vodafone Egypt consumer marketing team seeks a
 
 Senior
 
 
 Data Scientist
 
 to boost business`s decisions towards a data-driven decisions.
 
 
 As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert.. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.
 
 
 Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone&rsquo;s huge volume of data and large-scale computing resources
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Identifying business opportunities to make a commercial difference
 </li>
 <li>
 leads the development of analytics initiatives to meet business requirements
 </li>
 <li>
 Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
 </li>
 <li>
 Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
 </li>
 <li>
 Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
 </li>
 <li>
 Identifies new analytics trends and opportunities to drive the innovation agenda across business functions &amp; Advanced Analytics
 </li>
 <li>
 Spread Design Thinking and Agile methodologies
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
 </li>
 <li>
 You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
 </li>
 <li>
 Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
 </li>
 <li>
 Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
 </li>
 <li>
 Deep and broad statistical modelling expertise in various domains
 </li>
 <li>
 Ability to work cross functional teams to translate business issues into potential analytics solutions
 </li>
 <li>
 Excellent analytical &amp; Presentation skills
 </li>
 <li>
 Ability to work in multitasks under pressure
 </li>
 <li>
 Excellent command of English
 
 
 
 </li>
 </ul>
 
 Must have technical / professional qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
 </li>
 <li>
 Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling
 </li>
 <li>
 Competent in machine learning principles, deep learning and generative AI techniques
 </li>
 <li>
 Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
 </li>
 <li>
 Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
 </li>
 <li>
 Familiar with implementing data transformations and algorithms in common programming languages
 </li>
 <li>
 Strong communication skills with prior experience communicating analytics results to senior management
 
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
 
 
 Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
 
 
 If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
 
 
 Together we can.
</div>

Sr. Data Scientist

RSA Security

<div>
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 
 
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 
 
 The Senior Manager, Data Analytics leads the design, delivery, and governance of enterprise‑wide analytics that drive data‑informed decision‑making. This role partners closely with executive leadership and cross‑functional stakeholders to translate business strategy into scalable reporting, actionable insights, and trusted metrics across Sales, Finance, Customer Support, Professional Services and Customer Success.
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Lead and scale a high‑performing analytics team delivering dashboards, insights, and executive reporting.
 </li>
 <li>
 Establish and own a reporting and analytics Center of Excellence, ensuring consistency, accuracy, and alignment on key metrics.
 </li>
 <li>
 Partner with senior leaders to define KPIs, performance frameworks, and analytics roadmaps that support GTM strategy and business priorities.
 </li>
 <li>
 Oversee end‑to‑end analytics delivery, including data validation, metric definitions, dashboard design, and insight generation.
 </li>
 <li>
 Audit and improve data quality across core systems to ensure reliable reporting and decision‑making.
 </li>
 <li>
 Translate complex data into clear narratives, insights, and recommendations for executive and board‑level audiences.
 </li>
 <li>
 Identify trends, risks, and opportunities through advanced analysis of performance data.
 
 
 </li>
 </ul>
 
 Essential Requirments
 
 
 
 <ul>
 <li>
 10+ years&rsquo; experience, 5+ years&rsquo; People Management Experience
 </li>
 <li>
 Talent development and team leadership
 </li>
 <li>
 Strong analytical thinking, storytelling, and problem‑solving skills.
 </li>
 <li>
 Ability to influence senior stakeholders and drive alignment across organizations.
 </li>
 <li>
 Proven experience leading analytics or BI teams
 </li>
 <li>
 Deep understanding of GTM, revenue, and customer lifecycle metrics
 
 
 </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 
 
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 
 
 rsa.global.talent.acquisition@rsa.com
 
 
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

Senior Manager, Data Analytics

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
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 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Mid/Senior - Data Scientist

Explore 498+ Senior data analyst in Egypt this July. Find roles across top companies and apply now to boost your career.

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