Principal Data Scientist

Summary

Join OLX and become a technical expert in establishing smart pricing models and policies for all customer units. You will provide technical guidance to a team of experts, mentor team members, and design experiments. This role offers a significant business impact and the opportunity to influence data science practices across OLX. You will collaborate with various teams, track KPIs, and ensure successful achievement of research and development objectives. This is a unique opportunity to work in a strategic movement within the company and witness the direct impact of your work.

Requirements

• Possess very strong analytical skills
• Have experience in the areas of Pricing and Pricing optimization, in a commercial setting
• Possess knowledge of Causal Inference and strong statistical skills (e.g., design of experiments and hypothesis testing)
• Have the ability to lead cross-functional initiatives that drive scalable impact
• Possess an eye for proactively identifying opportunities for impact in multiple domains and in collaboration with multiple teams
• Have the ability to envision the future and articulate it to a broad community of Product and Commercial leaders as well as other key stakeholders
• Possess a deep understanding of machine learning techniques and experience applying them to solve business problems
• Have a track record in leading cross-functional initiatives that span across the organization
• Possess a strong engineering background with good knowledge of Python and exposure to one more programming language (Kotlin, Java, etc), as well as engineering best practices
• Have experience writing SQL queries and handling large amounts of data
• Be proficient in English with excellent written and oral communication skills
• Possess strong presentation skills
• Be able to work in diverse, multi-functional teams with people from different backgrounds

Responsibilities

• Work in the Data Science team, focusing on Pricing Optimization, from a platform and marketplace perspective
• Lead projects and initiatives in collaboration with local Data Science and Data Engineering teams, as well as Product and Commercial leaders
• Maintain strong relationships with stakeholders
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers
• Partner with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform
• Help to formulate data science solutions in order to improve business jointly with product managers and engineers
• Ensure successful achievement of research and development objectives through stakeholder management and mentoring of more junior Data Scientists
• Work on optimizing the models according to the requirements of the specific use case and collaborating with other team members to bring in production and scale machine learning solutions
• Measure the impact of your models against company goals
• Work in an agile environment to deliver high-quality software against schedules
• Work in multi-functional teams, in a diverse, multinational environment

Preferred Qualifications

• Have experience with cloud-based tools for production use (e.g., AWS Athena, AWS Sagemaker, AWS Spectrum, AWS Kinesis) or equivalent
• Have experience building large-scale batch and real-time data pipelines with open-source data processing frameworks like Spark
• Have experience with platforms for programmatically authoring, scheduling, and monitoring workflows (e.g. Apache Airflow)
• Have experience driving initiatives such as Tech Radar for Data Science and interacting with external groups (e.g. Amazon ML Solutions Lab or similar) to formulate and progress the Data Science Tech agenda

Benefits

• Permanent contract
• Salary + annual bonus up to 20% of your annual gross salary
• Work with and impact all OLX services in Europe
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)