Urwah Admin

Jeeny

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan.
 
 
 At Jeeny, we value innovation, teamwork, and a passion for delivering exceptional user experiences. Join us in our mission to transform the transportation landscape.
 
 
 
 About the Role:
 
 
 
 We are looking for an
 
 ML Systems Engineer
 
 to build the services, interfaces, and automation required to reliably operate ML-powered features in production. This role is focused on transforming data science models into complete production systems, including APIs, feature pipelines, monitoring dashboards, and operational tooling.
 
 
 The ideal candidate will serve as the bridge between
 
 Data Science, QA, and DevOps
 
 , ensuring machine learning models are not only accurate, but also deployable, observable, scalable, and maintainable.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain production-ready systems for deploying machine learning models.
 </li>
 <li>
 Develop and manage APIs and backend services that power ML-driven features.
 </li>
 <li>
 Build and maintain feature pipelines to support model training and inference workflows.
 </li>
 <li>
 Create monitoring dashboards and observability tools to track model performance and system health.
 </li>
 <li>
 Automate ML deployment workflows and operational processes to improve reliability and efficiency.
 </li>
 <li>
 Collaborate closely with Data Science, QA, and DevOps teams to ensure smooth model integration and deployment.
 </li>
 <li>
 Improve system scalability, performance, and maintainability of ML-powered applications.
 </li>
 <li>
 Troubleshoot and resolve issues related to production ML systems and deployment pipelines.
 </li>
 <li>
 Implement best practices for versioning, testing, monitoring, and maintaining ML services
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in backend engineering, ML systems, or MLOps.
 </li>
 <li>
 Strong experience with Python and backend frameworks
 </li>
 <li>
 Experience building and maintaining APIs and microservices.
 </li>
 <li>
 Familiarity with ML deployment workflows and model serving frameworks.
 </li>
 <li>
 Experience with data pipelines and workflow orchestration tools.
 </li>
 <li>
 Strong understanding of cloud platforms
 </li>
 <li>
 Experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Knowledge of monitoring and observability tools for production systems.
 </li>
 <li>
 Strong problem-solving skills and ability to work cross-functionally
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

ML Systems Engineer

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief:
 
 
 
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Explore, clean, and analyze high-volume datasets
 </li>
 <li>
 Develop predictive models
 </li>
 <li>
 Build dashboards and automated reports to track marketplace health
 </li>
 <li>
 Work with product and operations teams to define data requirements and design A/B experiments
 </li>
 <li>
 Implement and monitor machine learning models in production with guidance from senior team members
 </li>
 <li>
 Document methodologies, code, and analysis for reproducibility and knowledgesharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 At least 3 years of relevant experience
 </li>
 <li>
 Strong Python (pandas, numpy, scikit-learn etc)
 </li>
 <li>
 Solid understanding of statistics, probability, and hypothesis testing
 </li>
 <li>
 Familiarity with SQL and relational databases
 </li>
 <li>
 Exposure to machine learning concepts and practical modeling projects
 </li>
 <li>
 Excellent problem-solving and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
 </li>
 <li>
 Knowledge of geospatial analysis or real-time data streaming
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

Data Scientist

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
Job Brief: 
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences. 
 
Responsibilities:<ul><li>
Explore, clean, and analyze high-volume datasets.</li><li>
Develop predictive models</li><li>
Build dashboards and automated reports to track marketplace health</li><li>
Work with product and operations teams to define data requirements and design A/B experiments.</li><li>
Implement and monitor machine learning models in production with guidance from senior team members.</li><li>
Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>
At least 3 years of relevant experience.</li><li>
Strong Python (pandas, numpy, scikit-learn etc).</li><li>
Solid understanding of statistics, probability, and hypothesis testing.</li><li>
Familiarity with SQL and relational databases.</li><li>
Exposure to machine learning concepts and practical modeling projects.</li><li>
Excellent problem-solving and communication skills.</li></ul>
Nice to Have<ul><li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li><li>
Knowledge of geospatial analysis or real-time data streaming.</li></ul> 

Benefits 
What we offer:<ul><li>
Market Competitive Salary
 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li><li>
Learn &amp; Grow
 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li><li>
International Exposure
 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li><li>
Health Insurance
 
Full health coverage so you can focus on your goals with peace of mind.</li><li>
OPD Coverage
 
Outpatient visits? We&rsquo;ve got that covered for you.</li><li>
End of Service Benefit
 
Loyalty pays off, long-term service comes with financial rewards.</li><li>
Dollar Adjustment Allowance
 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li><li>
Internet Allowance
 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li><li>
Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li><li>
Learning &amp; Development Allowance
 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 
Company Culture 
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief
 
 
 
 As the Growth Manager - Insights &amp; Analytics, you will play a pivotal role within the commercial team: the strategic engine powering our marketplace expansion. You'll translate complex data into actionable insights that drive high-impact growth initiatives and inform strategic decisions. Partnering closely with Marketing, Product, and Operations, you'll lead CRM and DRM strategies while managing growth spends to maximize ROI. You'll also oversee budget allocation to ensure every marketing dollar and incentive delivers measurable sustainable growth and long-term profitability.
 
 
 
 Job Responsibilities:
 
 
 
 
 CRM/DRM Strategy &amp; Lifecycle Management
 
 
 
 <ul>
 <li>
 Lifecycle Campaign Development: Design and execute lifecycle campaigns for both passengers and partners - spanning onboarding, activation, reactivation, retention, and overall engagement across multi-channel touchpoints (in-app, push, email, SMS)
 </li>
 <li>
 Segmentation &amp; Personalization: Build dynamic segmentation models leveraging RFM (Recency, Frequency, Monetary) and behavioral data to tailor messaging, incentives, and experiences that maximize engagement and loyalty across both sides of the marketplace
 </li>
 <li>
 Performance Analysis: Continuously monitor CRM/DRM performance metrics, translate insights into actionable improvements, and optimize campaign ROI through data-backed iteration
 </li>
 <li>
 Continuous experimentation: (A/B, multivariate, incentive, and journey tests) to uncover high-impact growth levers across the user and partner lifecycle
 </li>
 <li>
 Touch True Marketplace Levers: Monitor and analyze key marketplace metrics, identifying friction points and opportunities to improve acquisition, activation, reactivation and retention.
 </li>
 <li>
 Advanced Analytics: Leverage advanced analytics and funnel modeling to enhance conversion efficiency across the entire user/partner journey
 </li>
 <li>
 Incrementality Testing: Apply incrementality and cohort analyses to measure true impact of growth initiatives and guide resource allocation
 </li>
 <li>
 Data to Strategy: Synthesize insights into clear, actionable strategies that inform leadership decisions and drive sustainable marketplace growth
 </li>
 <li>
 Playbook Creation: Build scalable growth playbooks that codify both wins and misses - turning 5/5 successes into repeatable frameworks and 0/5 failures into data-backed lessons that sharpen Jeeny's experimentation muscle
 
 
 </li>
 </ul>
 
 Competitive Intelligence &amp; Growth Strategy
 
 
 
 <ul>
 <li>
 Market Pulse: Continuously analyze competitor growth initiatives &mdash; such as engagement mechanics, incentive structures, and marketplace strategies to uncover opportunities to strengthen user and partner retention
 </li>
 <li>
 Translate competitive insights into actionable growth plays, influencing lifecycle strategies, incentive design, and experimentation priorities
 </li>
 <li>
 Use trend analysis and data modeling to forecast competitive movements and guide long-term growth investments and priorities
 
 
 </li>
 </ul>
 
 Forecasting Models &amp; Predictive Analytics
 
 
 
 <ul>
 <li>
 Build intelligent forecasting models to predict marketplace trends: from active users and engaged partners to trip demand, retention rates, and incentive efficiency - enabling smarter, faster growth decisions
 </li>
 <li>
 Turn predictions into strategy: empowering teams to act proactively, drive sustainable growth, and keep the marketplace ahead of shifting behaviors and competitive dynamics
 
 
 </li>
 </ul>
 
 Automation &amp; Scalability
 
 
 
 <ul>
 <li>
 Design and implement automated workflows to streamline reporting, campaign execution, and performance tracking across CRM and DRM initiatives
 </li>
 <li>
 Collaborate with Product and Data teams to build scalable data pipelines, dashboards, and decision-support tools that enable real-time visibility into growth metrics
 </li>
 <li>
 Automate experimentation and lifecycle triggers, ensuring consistent, timely, and personalized user and partner engagement
 </li>
 <li>
 Standardize analytics and growth frameworks across markets, reducing manual dependency and improving operational efficiency
 
 
 </li>
 </ul>
 
 Budget Management:
 
 
 
 <ul>
 <li>
 Own the growth budgeting cycle, ensuring optimal allocation of incentives, marketing, and CRM/DRM spend
 </li>
 <li>
 Track performance against budgets, highlighting ROI, efficiency gains, and areas for reallocation
 </li>
 <li>
 Develop data-driven strategies that maximize financial impact while mitigating operational and growth risks
 
 
 </li>
 </ul>
 
 People Management:
 
 
 
 <ul>
 <li>
 Lead a team of high-performing individuals, fostering a culture of ownership, accountability, and continuous improvement
 </li>
 <li>
 Define and track OKRs, aligning team objectives with strategic growth priorities
 </li>
 <li>
 Enable high performance through coaching, feedback loops, and clear accountability
 </li>
 <li>
 Foster innovation and collaboration by empowering talent and promoting continuous learning
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Business, Analytics, Economics, or a quantitative discipline
 </li>
 <li>
 At least 5 years experience in an analytical role dealing with large volumes of data, Experience in pricing/discount strategy and/or on-demand is a plus preferably in mobility, e-commerce, or marketplace sectors
 </li>
 <li>
 Solid grasp of statistics and demonstrated experience with A/B testing
 </li>
 <li>
 Amazing SQL and Excel skills. Experience with Python or R is a plus
 </li>
 <li>
 Experience with some BI tools and data visualization like Tableau, Power BI or Looker
 </li>
 <li>
 Experience with CRM tools (Braze, Salesforce, HubSpot, Clevertap) and/or marketing automation platforms
 </li>
 <li>
 Excellent communication skills; able to present insights to technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

Growth Manager - Insights & Analytics

<div>About The Company
Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan with making an impact in the lives of more than 45 million people.
At Jeeny, we value innovation, teamwork, and passion for delivering exceptional user experiences. Join us in our mission to transform the mobility landscape.
About the role:
As the Growth Manager - Insights &amp; Analytics, you will play a pivotal role within the commercial team: the strategic engine powering our marketplace expansion. You&rsquo;ll translate complex data into actionable insights that drive high-impact growth initiatives and inform strategic decisions. Partnering closely with Marketing, Product, and Operations, you&rsquo;ll lead CRM and DRM strategies while managing growth spends to maximize ROI. You&rsquo;ll also oversee budget allocation to ensure every marketing dollar and incentive delivers measurable sustainable growth and long-term profitability.
Responsibilities:
CRM/DRM Strategy &amp; Lifecycle Management<ul><li>
Lifecycle Campaign Development: Design and execute lifecycle campaigns for both passengers and partners - spanning onboarding, activation, reactivation, retention, and overall engagement across multi-channel touchpoints (in-app, push, email, SMS).</li><li>
Segmentation &amp; Personalization: Build dynamic segmentation models leveraging RFM (Recency, Frequency, Monetary) and behavioral data to tailor messaging, incentives, and experiences that maximize engagement and loyalty across both sides of the marketplace.</li><li>
Performance Analysis: Continuously monitor CRM/DRM performance metrics, translate insights into actionable improvements, and optimize campaign ROI through data-backed iteration.</li></ul><ul><li>
Continuous experimentation: (A/B, multivariate, incentive, and journey tests) to uncover high-impact growth levers across the user and partner lifecycle.</li><li>
Touch True Marketplace Levers: Monitor and analyze key marketplace metrics, identifying friction points and opportunities to improve acquisition, activation, reactivation and retention..</li><li>
Advanced Analytics: Leverage advanced analytics and funnel modeling to enhance conversion efficiency across the entire user/partner journey.</li><li>
Incrementality Testing: Apply incrementality and cohort analyses to measure true impact of growth initiatives and guide resource allocation.</li><li>
Data to Strategy: Synthesize insights into clear, actionable strategies that inform leadership decisions and drive sustainable marketplace growth.</li><li>
Playbook Creation: Build scalable growth playbooks that codify both wins and misses - turning 5/5 successes into repeatable frameworks and 0/5 failures into data-backed lessons that sharpen Jeeny&rsquo;s experimentation muscle</li></ul>
Competitive Intelligence &amp; Growth Strategy<ul><li>
Market Pulse: Continuously analyze competitor growth initiatives &mdash; such as engagement mechanics, incentive structures, and marketplace strategies to uncover opportunities to strengthen user and partner retention.</li><li>
Translate competitive insights into actionable growth plays, influencing lifecycle strategies, incentive design, and experimentation priorities.</li><li>
Use trend analysis and data modeling to forecast competitive movements and guide long-term growth investments and priorities.</li></ul> 
Forecasting Models &amp; Predictive Analytics<ul><li>
Build intelligent forecasting models to predict marketplace trends: from active users and engaged partners to trip demand, retention rates, and incentive efficiency - enabling smarter, faster growth decisions.</li><li>
Turn predictions into strategy: empowering teams to act proactively, drive sustainable growth, and keep the marketplace ahead of shifting behaviors and competitive dynamics.</li></ul>
Automation &amp; Scalability<ul><li>
Design and implement automated workflows to streamline reporting, campaign execution, and performance tracking across CRM and DRM initiatives.</li><li>
Collaborate with Product and Data teams to build scalable data pipelines, dashboards, and decision-support tools that enable real-time visibility into growth metrics.</li><li>
Automate experimentation and lifecycle triggers, ensuring consistent, timely, and personalized user and partner engagement.</li><li>
Standardize analytics and growth frameworks across markets, reducing manual dependency and improving operational efficiency.</li></ul> 
Budget Management:<ul><li>
Own the growth budgeting cycle, ensuring optimal allocation of incentives, marketing, and CRM/DRM spend.</li><li>
Track performance against budgets, highlighting ROI, efficiency gains, and areas for reallocation.</li><li>
Develop data-driven strategies that maximize financial impact while mitigating operational and growth risks.</li></ul>
People Management:<ul><li>
Lead a team of high-performing individuals, fostering a culture of ownership, accountability, and continuous improvement</li><li>
Define and track OKRs, aligning team objectives with strategic growth priorities.</li><li>
Enable high performance through coaching, feedback loops, and clear accountability.</li><li>
Foster innovation and collaboration by empowering talent and promoting continuous learning.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Business, Analytics, Economics, or a quantitative discipline.</li><li>
At least 5 years experience in an analytical role dealing with large volumes of data, Experience in pricing/discount strategy and/or on-demand is a plus preferably in mobility, e-commerce, or marketplace sectors</li><li>
Solid grasp of statistics and demonstrated experience with A/B testing</li><li>
Amazing SQL and Excel skills. Experience with Python or R is a plus</li><li>
Experience with some BI tools and data visualization like Tableau, Power BI or Looker</li><li>
Experience with CRM tools (Braze, Salesforce, HubSpot, Clevertap) and/or marketing automation platforms.</li><li>
Excellent communication skills; able to present insights to technical and non-technical stakeholders</li></ul> 

Benefits 
Why Join Us
You&rsquo;ll lead a team that sits at the heart of the company&rsquo;s growth engine - where data meets creativity, and strategy meets execution.
At Jeeny, you&rsquo;ll have the freedom to innovate, experiment, and build systems that directly shape how millions of users and partners interact with our application every day.
This is more than analytics - it&rsquo;s impact at scale.</div>

Join Jeeny and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Jeeny

About Company

ML Systems Engineer

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Growth Manager - Insights & Analytics

Growth Manager - Insights & Analytics