Data Scientist at Jeeny

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Statistics, Probability, Hypothesis Testing, SQL, Machine Learning, Data Analysis, Predictive Modeling, Data Visualization, A/B Testing, Documentation, Problem-Solving, Communication, Geospatial Analysis, Real-Time Data Streaming

Industry

IT Services and IT Consulting

Description

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: Explore, clean, and analyze high-volume datasets. Develop predictive models Build dashboards and automated reports to track marketplace health Work with product and operations teams to define data requirements and design A/B experiments. Implement and monitor machine learning models in production with guidance from senior team members. Document methodologies, code, and analysis for reproducibility and knowledgesharing. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. At least 2 years of relevant experience. Strong Python (pandas, numpy, scikit-learn etc). Solid understanding of statistics, probability, and hypothesis testing. Familiarity with SQL and relational databases. Exposure to machine learning concepts and practical modeling projects. Excellent problem-solving and communication skills. Nice to Have Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark). Knowledge of geospatial analysis or real-time data streaming. What we offer: Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today’s market. Learn & Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth. International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE—experience a global career from day one. Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind. OPD Coverage 🏥 Outpatient visits? We’ve got that covered for you. End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards. 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. Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you’re learning, working, or just vibing. Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance. Learning & Development Allowance 🎓 Get a yearly budget for certifications, courses, or training—because investing in you is a no-brainer. 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.

Responsibilities

As a Data Scientist, you will transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency. You will work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.