Senior Data Scientist

• Company Careem
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Responsibilities

• Implement scalable machine learning and optimization 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.

Qualifications

• 3+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
• Bachelor's Degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science(Advanced degree preferred)
• Strong problem solving and coding skills.
• Fluency in English along with excellent oral and written communication skills.
• Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Preferred

• Experience in Deep Learning, Reinforcement Learning

What we'll provide you

As a Careem Colleague You Will Be Able To

In addition to a competitive long-term total compensation with salary and equity, we have a reward philosophy that expands beyond this.

• Be part of a Remote-First organisation
• Work from any country in the world for 60 days a year
• Use Unlimited Vacation days throughout the year
• Access fitness reimbursements for health activities including: gym, health club and training classes.
• Work and learn from great minds
• Create impact in a region with untapped potential
• Explore new opportunities to learn and grow every day