Overview
- Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
- 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.
- 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
RESPONSIBILITIES
- 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.
- Implement scalable machine learning algorithms that will be used in production on big data.
- 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 Whiterain 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.
QUALIFICATIONS
- 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, Hive.
- Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, 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.