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AI Scientist
1 week ago
The Careem Data Scienceteam's mission is to drive competitive value from data atscale through building AI models to optimize user experiences,decision making, operational efficiencies, and lead theregion's AI ecosystem. As one of the leaders in thisteam, you will be at the forefront of fulfilling this mission. Youwill be working with and leading the top data science talent of theregion, leveraging AI to solve the region's day to dayproblems, through state-of-the art machine learning, optimization,deep learning, and RL models, that are deployed on top of our ownin-house AI platform, serving users inreal-time.
What You'llDo
- Build along-term vision on how we can rethink our customer acquisition andengagement strategies leveraging data in our decisionmaking.
- Drive exploratory analysis tounderstand the ecosystem, user behavior; identifying new levers tohelp move metrics and build models of user behaviors for analysisand product enhancements.
- Shape and influencedata/ML models and instrumentation to optimize the productexperience and generate insights on new areas of opportunity andnew products.
- Provide product leadership bysharing data-based recommendation to communicate state of business,root cause of change in metrics and experimentation resultsinfluencing product and businessdecision
- Implement scalable machine learningalgorithms that will be used in production on bigdata.
- Embark on exploratory data analysisprojects to achieve better understanding of phenomena as well as todiscover untapped areas of growth andoptimization.
- Answer complex analytic questionsfrom big data sets to help Careem shape its products and servicesin a better way.
- Help define and track theappropriate key metrics for specificprojects.
- Design and run randomized controlledexperiments, analyze the resulting data and communicate resultswith other teams.
- You will always challenge thestatus quo and continually investigate new data processingtechnologies and seek to ensure that we follow the industry bestpractices.
- Experience in data mining, predictive modeling,time series analysis, machine learning, Big Data methodologies,transformation and cleaning of both structured and unstructureddata.
- Advanced degree in a quantitativediscipline such as Physics, Statistics, Mathematics, Engineering orComputer Science.
- Strong problem solving andcoding skills.
- Solid knowledge of andexperience with marketplace problems in ride hailing and deliveryservices.
- Solid knowledge of AB testing,classic ML and DL
- Solid understanding ofrecommendations, learning to rank, uplift modeling and matchingproblems.
- Fluency in English along withexcellent oral and written communicationskills.
- Proficiency and demonstrated experiencein: Python, SQL, Spark, Hive.
- Demonstratedexperience with database technologies (e.g. Hadoop, BigQuery,Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server,MySQL).
- Demonstrated experience with businessintelligence and visualization tools (Tableau, MicroStrategy,ChartIO, Qlik) along with geospatial data processing skills is aplus.
- Knowledge of Agilemethodologies.
What We'llProvide You
We offer colleaguesthe opportunity to drive impact in the region while they learn andgrow. As a full time Careem colleague, you will be ableto:
- Work and learn fromgreat minds by joining a community of inspiringcolleagues.
- Put your passion to work in apurposeful organisation dedicated to creating impact in a regionwith a lot of untapped potential.
- Explore newopportunities to learn and grow every day.
- Work4 days a week in office & 1 day from home, and remotelyfrom any country in the world for 30 days a year with unlimitedvacation days per year. (If you are in an individual contributorrole in tech, you will have 2 office days a week and 3 to work fromhome.)
- Access to healthcare benefits andfitness reimbursements for health activities including gym, healthclub, and training classes.
Data Models,DataScience,Information Science
Employment Type: Full-time
Department / FunctionalArea: Behavioral Science
Experience: years
Gender: Male
Vacancy: 1