Senior Data Scientist II

What you'll do

• Be part of a 0-1 AI transformation for Careem app from personalization perspective.

• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.

• Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.

• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.

• Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decision

• Implement scalable machine learning algorithms that will be used in production on big data.

• Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.

• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.

• Help define and track the appropriate key metrics for specific projects.

• Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.

• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.

• Build and deploy retrieval augmented generation systems and other applications of large language models.

What you'll need

• 4-6 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.

• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.

• Solid experience with Deep Learning Techniques (e.g attention, retrieval models, etc.)

• 1-2 years industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product driven company.

• Strong problem solving and coding skills.

• Solid knowledge of AB testing, classic ML and DL

• Solid understanding of recommendations, ranking and retrieval.

• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.

• Demonstrated experience with database technologies (e.g. Hadoop, Big Query, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).

• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, Chart IO, Qlik) along with geospatial data processing skills is a plus.

What we'll provide you We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.

• Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.

• Explore new opportunities to learn and grow every day.

• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)

• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.