Senior Data Scientist

In this position, your responsibilities will include understanding project requirements, assigning tasks to junior team members, and monitoring their performance. An exceptional Senior Data Scientist will play a vital role in fostering the professional development of junior team members.

What you'll do

• Build a long-term vision of how we can rethink our customer acquisition and engagement strategies by leveraging data in our decision-making.
• Drive exploratory analysis to understand the ecosystem, and 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 recommendations to communicate the state of business, the root cause of change in metrics, and experimentation results influencing product and business decisions.
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
• 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 continually investigate new data processing technologies and seek to ensure that we follow the industry's best practices.

What you'll need

• 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
• Strong problem-solving and coding skills.
• Solid knowledge of and experience with marketplace problems in ride-hailing and delivery services.
• Solid knowledge of AB testing, classic ML, and DL
• Solid understanding of recommendations, learning to rank, uplift modeling, and matching problems.
• Fluency in English along with excellent oral and written communication skills.
• Proficiency and demonstrated experience in Python, SQL, Spark, and 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, ChartIO, Qlik) along with geospatial data processing skills is a plus.
• Knowledge of Agile methodologies.